Gender-based Preferences toward Technology Education Content, Activities and Instructional Methods


Gender-based Preferences toward Technology
Education Content, Activities, and Instructional
Methods
Katherine Weber and Rodney Custer
Prominent U.S. economists and educational leaders have argued that
citizens must become technologically literate to maintain economic growth
(Bybee, 2003; Colaianne, 2000; Greenspan, 1997). All students of both genders
need to acquire the skills necessary to become consumers capable of critically
assessing the technologies they use, resulting in the ability to make more
informed decisions.
One of the key problems confronting educators in the SMET disciplines
(science, mathematics, engineering, and technology) is the disproportionate lack
of involvement of females. Females’ lack of participation has been attributed to
curriculum content that is biased toward males’ interests (Sanders, Koch, &
Urso, 1997). Others (Shroyer, Backe & Powell, 1995) attribute females’ lack of
interest to pedagogical approaches rather than to the inherent nature of the
subject.
One significant challenge is culturally-grounded gender stereotyping, which
has a substantial influence on children’s self-concepts (Witts, 1997). In a variety
of ways, the media, peers, and adults communicate and reinforce gender-based
stereotypes (Martin, Eisenbud, & Rose, 1995). For example, toys have a
powerful influence on what children perceive as appropriate for boys and girls.
Toys designed for boys tend to be highly manipulative or electronic whereas
girls’ toys are less likely to be manipulative or have interchangeable parts
(Caleb, 2000; Sanders 1997). Girls’ toys also tend to feature interpersonal
interaction, such as dolls, which encourage the development of social skills and
relationships (Caleb, 2000). Sanders, Koch, and Urso (1997) assert that girls
who are not exposed to toys that encourage scientific, mathematical or
technological thinking are less likely to develop an interest in related subject
areas at school.
In a study of the interest patterns of middle school students, Shroyer,
Backe, & Powell (1995) found that socially relevant topics were more appealing
______________________
Katherine Weber (tekteach@hotmail.com) is Gender Equity Consultant in Technology Education
and Rodney Custer (rlcuster@ilstu.edu) is Professor in the Department of Technology at Illinois
State University, Normal, Illinois. The authors wish to acknowledge the valuable insights and
assistance of Drs. Chris Merrill and Franzie Loepp, who served as members of Ms. Weber’s thesis
committee.
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to girls, in contrast to boys who were more interested in how things work. They
also found that girls were more interested in topics related to the environment,
people, and the application of this knowledge to social conditions than were
males.
Given the historically disproportionate involvement of males in industrial
arts and technology education, male perspectives and interests tend to pervade
the technology education curriculum (Sanders, Koch, & Urso, 1997; Welty,
1996). The Standards for Technological Literacy represent a positive movement
in addressing this concern, since the structure of the standards provides for
diverse ways of developing curriculum and representing the interests of both
genders. Curriculum developers in technology education need to be informed by
research and theory designed to comprehend “women’s ways of knowing” if
they hope to effectively recruit and retain women and girls into the study of
technology (Belenky, Clinchy, Goldberger, & Tarule, 1986; McIntosh, 1983;
Welty, 1996; Zuga, 1999). Shroyer, Backe, & Powell (1995) indicate that the
study of environmental and social technologies may be more appealing to girls
than the study of industrial technologies.
Pedagogical considerations are also critical to sound gender-balanced
curriculum design. Research has found that there are instructional methods,
learning styles, and interests that can be characterized as distinctively female
(Brunner, 1997; Jacobs & Becker, 1997; McIntosh, 1983; Rosser, 1985; Zuga,
1999). Additionally, curriculum materials need to connect in meaningful ways
with students’ prior experiences and the world in which they live (Zuga, 1999).
Teachers are encouraged to construct knowledge from students’
experiences (Belenky, Clinchy, Goldberger, & Tarule, 1986; Jacobs & Becker,
1997). While this is important for all students, it is particularly important that
teachers and curriculum designers in the SMET disciplines attend to the
experience base of female students. Students often feel that content lacks
relevance to their lives (Markert, 2003; Jacobs & Becker, 1997; Sanders, Koch,
& Urso, 1997). It is important to connect students to content through their life
experiences (Wills, 2000). Rather than continually using traditional tools,
material, or examples to demonstrate technological concepts, teachers should
use examples with which both genders can identify.
Females prefer collaboration over competition (Chapman, 2000; Fiore,
1999; Jacobs & Becker, 1997; McIntosh, 1983; Rosser, 1990; Sanders, Koch, &
Urso, 1997). This is consistent with contemporary trends in technology
education, where the historic use of individual projects is shifting toward small
group work. However, contemporary practice also employs the substantial use
of student competitions. For example, although the Technology Student
Association (TSA) and the Technology Education Collegiate Association
(TECA) feature collaborative activities, considerable emphasis is placed on the
competitive aspects of the events.
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Purpose and Methodology
The purpose of this study was to identify the types of learning activities,
topics, and instructional methods in technology education that are preferred by
middle and high school females and males. Specifically, three questions were
posed:
1. Which activities, related to the study of technology, are most preferred by
females and males at the middle school and high school levels?
2. Which curriculum content topics, related to the study of technology, are
most interesting to females and males at the middle school and high school
levels?
3. Which instructional methods, related to the study of technology, are most
preferred by females and males at the middle school and high school levels?
A descriptive design was employed using two surveys designed by the
researchers. One survey identified the interest preferences of students toward
activities in technology education, while the second identified students’ interest
preferences toward content topics and instructional methods in technology
education.
The population consisted of students enrolled in middle school and
exploratory level high school technology education classes in Wisconsin. A
purposive, stratified sample of consisting of eleven technology education
programs (which had at least forty five minutes of contact time each day) was
selected with the assistance of a representative from the Wisconsin Department
of Public Instruction to ensure gender representation as well as coverage across
urban, suburban, and rural areas. Within the eleven programs that agreed to
participate, six were middle school programs (three were urban, one was
suburban, and two were rural) and five were high programs (two were urban,
one was suburban, and two were rural). Within the six middle school programs,
one of the seven participating teachers was female. Within the five high school
programs, one of the nine participating teachers was female.
To ensure gender representation, technology programs with high female
enrollment were selected. Most school districts in Wisconsin require at least one
technology education class for all middle school students; therefore, the study’s
middle school sample was gender balanced.
The sample size for the study was based on the Krejcie and Morgan’s
(1970) formula. A total of 348 middle school students and 311 high school
students participated in the study.
Instrumentation
Two instruments were developed. The Technology Activity Preference
(TAP) Inventory consisted of a set of activities typically used in contemporary
technology education classes. These were gleaned from a variety of carefully
selected technology education curriculum materials with the assistance of state
supervisors.
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To ensure a broad representation of activity types, two conceptual
frameworks were employed. First, activities were coded into context standards
categories corresponding with Standards 14-20 in the Standards for
Technological Literacy (ITEA, 2000). The second framework, generally
corresponding to the types of activities involved in technological literacy as
described in the Standards, as well as Technically Speaking (Pearson & Young,
2002), was comprised of designing, making, utilizing, and assessing.
Three technology educators with substantial experience with standardsbased
curriculum development reviewed the activities. They were instructed
independently to rank order each activity according to its relevance, authenticity
related to student experience, and distribution across each of the activity types.
The final version of the TAP contained 56 activity items. Each item was rated on
a 1-5 Likert-type scale according to level of student interest (from Very
Interesting to Not Interesting at All).
The second inventory, Technology topics and Instructional methods
Preference Inventory (TIP) focused on standards-based content topics. Topics
were identified by reviewing the descriptive narrative, standards, and
benchmarks of the STL (2000). The topics compiled for each of the twenty
standards in the STL (2000) were submitted to the panel of technology education
curriculum experts for rating. Rating criteria included representativeness of the
standards category, coverage, and concreteness. The two topics receiving the
highest composite ratings were selected for the instrument for a total of forty
items (2 per STL standard). As with the TAP instrument, each item was rated on
a 1-5 Likert-type scale according to level of student interest.
In addition to the content topics, the TIP also contained a list of
instructional methods typically used in technology education programs (e.g.,
making projects, designing solutions, engaging in debate and discussion, etc.).
These methods were identified through the literature review and were selected
to be representative of gender preferences.
A pilot test was then conducted with a group of middle and high school
students to ensure the instruments’ clarity, students’ understanding of directions
and individual items, and ease of administration. Some minor modifications
were made to the administration protocol and instruments as a result of the pilot
test, primarily to ensure clarity. (Note: Additional detail about the instrument
development process is presented in Weber, 2004).
Data Collection
Technology teachers from the selected programs were invited to participate
in the study. After each teacher agreed to participate, informed consent and
assent forms were distributed to students and returned to each teacher prior to
administration. To ensure administration consistency, the researcher traveled to
each school site to administer the surveys. The instruments were introduced
with a full explanation of how to rate the items. To avoid fatigue from
completing both instruments in the same class hour, a five-minute break was
provided between the administration of the two instruments.
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Data Analysis
The independent variables were gender and grade level. The dependent
variables consisted of level of interest responses to the activities and topics. The
activities and topics variables were analyzed separately using two-way factorial
analysis of variance by gender and grade level. A descriptive analysis was also
conducted to identify the activities and topics students rated most and least
interesting. A crosstabs analysis provided a mechanism for analyzing both
independent variables simultaneously.
The final step in the analysis focused on pedagogical preference, where
students were asked to rank order their preference on three separate sections that
included: instructional methods, instructional approaches to activities, and
instructional groups. The rank order of each section was identified using a
composite rank score, calculated by multiplying the number of people who
ranked the item by the rank number. Separate composite ranking scores were
computed for each independent variable to facilitate gender and grade level
comparisons. Each of the three pedagogical item sets were then placed in rank
order using this composite score, with the lowest score representing the most
preferred method and the highest score being least preferred.
Findings and Discussion
Activity Preferences
A two-way factorial analysis of variance was conducted to compare gender
and grade level differences for the activity variable. At the composite level (the
entire activity data set), no significant differences were found between the
interest ratings of females and males (see Table 1). At the subcategory level,
however, significant gender differences were detected regarding interest in
activities that involved designing and utilizing. Consistent with the literature,
females rated the design activities more interesting than did males, while males
preferred utilizing types of activities (Welty & Puck, 2001). No significant
differences were detected between genders in the make and assess dimensions.
Table 1
Male and Female Interest Preferences toward Activity Categories
Activity Sample Size Mean SD
Category M F M F M F p
Compositea 386 271 2.83 2.86 .72 .66 .321
Design 385 271 2.85 2.64 1.16 .69 .030*
Make 385 271 2.73 2.70 .80 .73 .878
Utilize 387 271 2.54 2.80 .70 .73 .000*
Assess 386 271 3.26 3.31 .86 .80 .518
Note. Lower numerical values indicate higher levels of interest and higher numerical
values indicate lower levels of interest.
aComposite: comprised of responses toward all activities
* p < .05
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The activities selected for the inventory had similar appeal to both genders.
This is important since the activities were specifically selected to represent
contemporary technology education. This suggests that the field is doing a
reasonably good job of developing activities that are equally appealing to both
genders. This study also suggests that curriculum developers appear to be doing
a relatively good job of selecting and developing activities representing an
appropriate gender balance.
Females’ preference for design and males’ preference for utilizing is
generally consistent with gender stereotypes. This is particularly true when the
design activities include a focus on problem solving or socially relevant issues.
By contrast, males typically are attracted to a variety of building activities,
which involve the use of machinery and tools. Traditional industrial arts
activities have often tended to de-emphasize the design aspects of making, with
students often working from existing project plans. It is possible that the
increased emphasis on design in contemporary technology education courses
could provide some balance between this design and make/utilize dichotomy
and make technology education activities more appealing to both genders.
Responses to the four activity categories were also examined by grade
level. Analysis of the composite activity set detected significant grade level
differences (see Table 2). Middle school students rated the composite of
activities more interesting than did high school students. Significant differences
were also found with the design, make, and utilize activities. The relatively low
interest in assessing activities is consistent with the culture of technology
education, which tends to favor applications-oriented activities over reflection
and analysis.
Table 2
Middle School and High School Interest Preferences Toward Activity
Categories
Activity Sample Size Mean SD
Category MS HS MS HS MS HS p
Compositea 345 310 2.78 2.92 .73 .65 .007
Design 346 310 2.62 2.92 .79 1.16 .002*
Make 345 311 2.60 2.84 .79 .73 .000*
Utilize 347 311 2.59 2.71 .76 .67 .004*
Assess 346 311 3.28 3.29 .88 .77 .994
Note. Lower numerical values indicate higher levels of interest and higher numerical
values indicate lower levels of interest.
aComposite: comprised of responses toward all activities
* p < .05
During the instrument development, a deliberate attempt was made to select
activities that would appeal to both middle and high school students. The
activities were also judged to be representative of contemporary technology
education activities. Consequently, it was somewhat surprising that middle
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school students rated the activities more appealing. One reason for this outcome
could be that the technology education profession may be doing a better job of
developing curriculum materials for the middle school than for the high school.
This finding may reflect a coherence of curricular focus at the middle school
level, which has yet to be achieved at the high school level, where programs
tend to range from vocationally focused trade and industrial programs to
engineering and pre-professional programs. Significant work remains to be done
to conceptualize the discipline and curriculum materials for the high school
level. This need is particularly pronounced at the advanced level, where the
programs are diverse and where curriculum materials are scant and tend to be
underdeveloped. The curriculum development challenge is further exacerbated
in general by the problems associated with stimulating high school students’
levels of interest in school (Rice, 1997; Roderick, 1993).
The data were also analyzed to identify activities that appeal and do not
appeal to males and females. Several differences among males and females
emerged. The top five activities rated interesting by females generally focused
in the areas of communication or design (see Table 3). Consistent with the
literature, females were interested in activities that support and facilitate
communication and which are of social relevance (Jacobs & Becker, 1997;
Markert, 2003; Sanders, Koch & Urso, 1997; Shroyer, Backe, & Powell, 1995).
In striking contrast, males focused on transportation vehicles with an emphasis
on utilizing and constructing. The interest in design-oriented activities was also
less pronounced with males as was the use of computers to produce designs.
Table 3
Activities Rated Most Interesting
Female preferences at middle school and high school levels n*
1. Use a software-editing program to edit a music video 224
2. Using a computer software program, design a CD cover. 210
3. Design a model of an amusement park. 195
4. Design a school mascot image to print on t-shirts. 192
5. Design a “theme” restaurant in an existing building. 190
Male preferences at middle school and high school levels
1. Build a rocket. 293
2. Construct an electric vehicle that moves on a magnetic track. 284
3. Perform simple car maintenance tasks on a car engine. 279
4. Program a robotic arm. 271
5. Design a model airplane that will glide the greatest distance. 268
*n = the number of students who rated the activity either “very interesting” or “somewhat
interesting”
The activities were also examined for lack of interest patterns. One thread
that spanned both gender and grade levels was a general lack of interest in
agricultural related activities. This finding is striking since these areas are
relatively new to technology education. Additional work remains to be done to
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develop materials that will stimulate interest in this emerging area. Another
general pattern that emerged was a lack of female interest in construction
activities. While this is consistent with the literature, the finding indicates that
developing engaging construction-related activities for females remains a
significant challenge for curriculum developers (see Table 4). It is also useful to
observe that the activities in this section tend to coincide with pedagogical
strategies typically employed by the traditional academic disciplines (e.g.,
debate, research, evaluate). This suggests that the pedagogical approach may
have a significant impact on student interest beyond the inherent interest in any
particular activity.
Table 4
Activities Rated Least Interesting
Female preferences at middle school and high school levels n*
1. Debate the advantages and disadvantages of using pesticides in
agriculture production.
164
2. Design a new use for an agricultural product. 156
3. Research why different materials are used to construct buildings
in various areas of the world.
156
4. Evaluate the energy efficiency of your home. 148
5. In order to make a recommendation for a bridge, assess the
environment in the area where a bridge is needed.
144
Male preferences at middle school and high school levels
1. Assess the risks of genetically engineered plants. 241
2. Debate the advantages and disadvantages of using pesticides in
agriculture production.
212
3. Research methods used to recycle plastics into reusable
materials.
203
4. Make a simple working model of a stethoscope. 200
5. Maintain a green house to harvest food year round. 200
*n = the number of students who rated the activity either “not very interesting” or “not
interesting at all”
Topic Preferences
The second major focus of the study was to explore patterns of student
interest in technology education topics derived from the STL. This is important
since the inherent interest in topics could differ from topic-related activities.
Well developed activities can potentially engage students in topics that may be
of little inherent interest. The study’s design included both topics and activities
in an attempt to explore these dynamics. This two-dimensional approach is also
important because the technology education field has historically emphasized
activities, often with a corresponding de-emphasis on content and conceptual
development (Custer, 2003). In this respect, the STL represent significant
progress in identifying an appropriate conceptual framework for the content of
the field. Appropriate curriculum development must select and develop
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activities that will deliver and reinforce content rather than the other way around
(Wiggins & McTighe, 1998). Thus, exploring student interest patterns for both
topics and activities will begin to develop a base of information for curriculum
developers. Teachers need to know which areas to emphasize as they select and
develop activities.
A two-way factorial ANOVA was conducted to compare gender and grade
level differences related to technological topics. At the composite level,
significant differences were found between males and females, with males
rating the topics significantly more interesting than females. Significant gender
differences were also found with specific STL content areas including The
Nature of Technology, Design, Abilities in a Technological World, and The
Designed World, with the males rating the topics more interesting than females
(see Table 5). These findings are generally consistent with cultural stereotypes,
where males tend to be more interested in technology-related topics than
females. It is interesting to note the lack of significant differences for the
technology and society category. This is consistent with research indicating that
females are interested in technology topics that are socially relevant (Caleb,
2000). No significant grade level differences were found across the major STL
categories.
Table 5
Male and Female Interest Preferences Toward Content Standards
Activity Category Mean SD
(male n = 366, female n = 249) M F M F p
Compositea 3.09 3.35 .91 .84 .001*
The Nature of Technology 3.24 3.59 .99 .91 .000*
Technology and Society 3.31 3.51 1.04 1.00 .067
Design 2.91 3.18 .97 .90 .001*
Abilities for a Technological World 3.05 3.33 .98 .97 .002*
The Designed World 2.94 3.16 .92 .88 .010*
Note. Lower numerical values indicate higher levels of interest and higher numerical
values indicate lower levels of interest.
aComposite: comprised of responses toward all activities
* p < .05
The topics rated most interesting were compared by gender. A striking
degree of similarity was found, with four of the top five topics receiving high
ratings by both genders. The points of difference are consistent with the findings
in the activities component of this study, with females indicating high interest in
design and males indicating interest in repairing products (see Table 6). While
females tend not to prefer utilizing types of activities (see Table 1) when
compared to males, females rated two communications-oriented utilizing topics
as most interesting. This is consistent with the literature, which indicates a
female preference for communication and interpersonal interaction (Caleb,
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2000). This has important implications for gender-balanced topic selection in
technology education.
Table 6
Topics Rated Most Interesting
Female preferences at middle school and high school levels n*
1. Using computers to communicate 174
2. Cloning 150
3. How video materials are developed to communicate a message 140
4. Robotics 120
5. Characteristics of design 112
Male preferences at middle school and high school levels
1. Robotics 247
2. Using computers to communicate 232
3. Cloning. 221
4. How to repair products 198
5. How video materials are developed to communicate a message 171
*n = the number of students who rated the topic either “very interesting” or “somewhat
interesting”
Some interesting patterns emerged with respect to the topics rated as least
interesting (see Table 7). Both genders were least interested in topics generally
associated with ethical and societal values, which could signal a general lack of
interest in these types of topics among middle and high school level students. At
the same time, this finding is perplexing given the potential impact of
technology on critical social issues such as genetic engineering, information
technology privacy, global resource distribution, and national security, this
finding is somewhat disturbing.
Table 7
Topics Rated Least Interesting
Female preferences at middle school and high school levels n*
1. The correct and safe use of tools and machines 161
2. How technology has improved agriculture 159
3. Ethical issues related to technology 154
4. How societal values and beliefs shape technology 139
5. How to reduce the use of nonrenewable energy resources 135
Male preferences at middle school and high school levels
1. Ethical issues related to technology 195
2. How societal values and beliefs shape technology 188
3. How people decide to buy consumer goods 179
4. Ethical and social issues related to biotechnology 176
5. How technology has improved agriculture 176
*n = the number of students who rated the activity either “not very interesting” or “not
interesting at all”
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The general lack of interest in agricultural and biotechnology topics may be
due to their relative newness in technology education. As the population
demographics continue to shift from agricultural to urban areas, generating
student interest in the agriculture-related topics may become increasingly
challenging.
The pattern of topics rated least interesting by both genders is generally
aligned with content that is somewhat new to the field and which may be
perceived to be associated more with social studies topics than with technology.
Given the importance of these ethical and resource distribution issues on a
global scale, the field will need to find ways to generate additional student
interest on these topics at a local or community level.
Instructional Approaches
The final component of the study focused on instructional approach
preferences, which represents a third major element of the student preference
complex (along with activity and topical preferences). As with most educational
and behavioral science issues, student motivational and interest pattern
dynamics are complex and multi-dimensional. Specific to gender-based student
interest patterns in technology education, it is quite possible that engaging
instructional approaches could stimulate student engagement with topics that
previously held little interest. For this study, instructional approach data were
gathered and analyzed in three different sets: general instructional approaches,
activity-specific approaches, and instructional grouping preferences.
The rank order preference patterns for general instructional approaches
were similar for males and females (see Table 8). Students who typically enroll
in technology education classes are attracted to the types of projects that they
will be engaged in, so it is not surprising that doing projects was ranked “1” by
both genders. Somewhat inconsistent with research, however, was the high
Table 8
General Instructional Approaches
Females Males
Rank Sum Rank Rank Sum Rank
Doing projects 641 1 939 1
Competitive Activities 888 2 988 2
Collaborative activities 1020 3 1349 4
Online learning 1063 4 1343 3
Debate 1090 5 1603 7
Stations in computer lab 1175 6 1464 5
Discussion 1200 7 1742 8
Independent study 1257 8 1588 6
Lecture with discussion 1614 9 2136 9
Lecture 1877 10 2458 10
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ranking of competitive activities by females (preference #2). Research indicates
that females are less interested in competitive activities than boys, preferring
learning environments that nurture collaboration (Chapman, 2000; Fiore, 1999;
Jacobs & Becker, 1997; McIntosh, 1983; Rosser, 1990; Sanders, Koch, & Urso,
1997).It is interesting that “online learning” and “stations at a computer lab” are
ranked higher by females than “debate” and “discussion”. This may have to do
with the purpose of computer use. Females’ interest increases if the computer is
used as a tool to create something like a multimedia presentation, but not if the
focus is on learning how to program computers (Brunner & Bennett, 1997,
1998). Consistent with the literature were the relatively low rankings of
“debate” and “discussion” by the males (Welty & Puck, 2001). Also, both
genders ranked “lecture” and “lecture with discussion” as the least preferred
methods of instruction.
The rank order preferences toward activity-specific instructional
approaches were essentially the same for both genders (see Table 9). Consistent
with the literature, females ranked “exploring how well something works” as
their least preferred approach; on the other hand, males’ ranking it as their least
preferred approach is inconsistent with literature (Welty & Puck, 2001).
Table 9
Activity-Specific Instructional Approaches
Females Males
Rank Sum Rank Rank Sum Rank
Making a project 292 1 432 1
Learning how to operate
or use something
555 2 703 2
Designing a solution to a
given problem
624 3 818 3
Exploring how well
something works
689 4 850 4
Table 10
Instructional Grouping Preferences
Females Males
Rank Sum Rank Rank Sum Rank
Working with partners
386 1 539 1
Working in groups of
three or more people
449 2 607 2
Working alone
619 3 758 3
Working together with
the entire class
704 4 895 4
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The rank order preferences of instructional groupings are the same
regardless of gender or grade level (see Table 10), with both genders expressing
a preference for small group work. This finding is generally consistent with the
evolution in the field from the heavy traditional emphasis on individual projects
to the contemporary emphasis on teamwork and group projects.
Implications and Discussion
The finding that contemporary technology education activities have similar
appeal to both males and females is instructive. Even if the topics presented in
the STL appear to be inherently more interesting to males, the selection and
development of gender-balanced activities appears to overcome the differences
in topical interest. While it may be extremely difficult to change cultural and
gender-related stereotypes, it is possible that carefully selected and welldeveloped
activities could stimulate female interest in topics about which they
may have previously had little interest. This represents a positive challenge for
curriculum developers.
A deliberate attempt was made to select activities for the instrument that
would appeal to both middle and high school students. Consequently, it was
somewhat surprising that middle school students rated the activities more
appealing. One could speculate that technology educators are simply better at
developing curriculum materials for the middle school than for the high school.
Significant work remains to be done to conceptualize the discipline and its
associated curriculum materials for high school students. This need is
particularly pronounced at the advanced level, where the programs are quite
diverse and where curriculum materials are scant and tend to be
underdeveloped.
The extensive use of student competitions should be examined in more
depth by the profession. While the findings of this research indicate support of
competitions by females, this outcome contradicts previous research. Since
technology education competitions tend to be conducted in teams, it could be
that the collaborative aspects of the process enhance the appeal of competitions
for females. It should also be noted that the participants in this study chose to
elect technology education classes. Thus, the characteristics of these female
“selectors” may differ from those who have not opted to take technology
education classes. Regardless, given the emphasis on collaboration and the
concerns about competition in the literature, this represents an important area of
future research.
Females’ preference for designing learning experiences and males’
preference for utilizing learning experiences was consistent with gender
stereotype research. Research indicates that females are more interested in
design-oriented activities. This is particularly true when the design activities
include a focus on problem solving or socially relevant issues. By contrast,
particularly in traditional industrial arts classes, males have been attracted to a
variety of building activities, which involved the use of machinery and tools. In
many cases, traditional industrial arts activities have tended to de-emphasize the
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design aspects of making, with students often working from existing project
plans. It is possible that the increased emphasis on design activities in
contemporary technology education courses might provide some balance
between designing and making/utilizing – which potentially makes technology
education activities more appealing to both boys and girls.
The findings reflect that students are reluctant to expand their interests in
content and activity types in the areas of agriculture, medicine and
biotechnology. It could be that students who typically enroll in technology
education classes have preconceived notions about the types of activities in
which they will engage and that these expectations do not include medical,
agricultural, and biotechnology related activities. This presents a challenge to
curriculum developers who design activities in these new areas. Students’
interest may increase if there are clear connections established between the skill
and concept similarities in agriculture, medical, and biotechnology activities to
activities found in familiar contextual areas. Additional research will be required
to better understand these dynamics.
Recommendations for the Profession
Based on the findings, conclusions, and implications of this study, the
following recommendations are suggested for future practice:
1. Additional research should be conducted to better understand the dynamics
of student preferences for technology related topics, activities, and
pedagogical approaches. Of particular importance is an understanding of
the factors that are most important for female students.
2. Technology Education curriculum developers should intensify the use of
research results of gender based studies to design and develop standards
based activities that appeal to females. Particular attention should be placed
on research conducted in the SMET areas of study (science, mathematics,
engineering and technology).
3. The profession should invest substantial effort and resources into
developing standards based curricula to deliver agricultural, biotechnology,
and medical technologies with engaging and interesting activities. This will
require collaborating with science teachers (particularly in biology and
earth science).
4. The profession should invest significant effort into developing new
resources focused on ethical and social issues consistent with the Standards
for Technological Literacy. This is particularly important for technology
teachers, many of whom have relatively little formal preparation in teaching
social science oriented topics.
5. The profession should invest resources into conceptualizing and developing
appropriate curriculum materials for upper level high school technology
education programs. This is particularly important given the growing
alliance with engineering.
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6. The profession should invest in additional research identifying demographic
preferences of students toward activities, topics, and instructional methods.
Further refinement and use of the TIP and TAP inventories would assist
curriculum designers in developing curriculum that is gender balanced.

Human Rights and politically Incorrect Thinking versus Technically Speaking


Human Rights and Politically Incorrect Thinking
versus Technically Speaking
Stephen Petrina
University of British Columbia
Pearson, G. and Young, T. (Eds.). (2002). Technically speaking: Why all
Americans need to know more about technology. Washington, DC. National
Academy Press. $19.95 (paperback), 156 pp. (ISBN 0-309-08262-5).
Published in 1963, Technically Speaking is a portrayal of technological
literacy as engineers and technologists are wont to provide. Whoops! Wrong
book, but the same can be said about the new Technically Speaking. There was
a problem with the type of literacy that engineers and technologists were prone
to advocate for themselves and others in 1963 and there is a problem now.
Inherently conservative, both books exhibit the fence-sitting literacy and “happy
consciousness” that Herbert Marcuse wrote about in 1964 (pp. 79, 84). Of
course, the world has changed since Weiss and McGrath (1963) published their
text of technological literacy and since Marcuse published One-Dimensional
Man. Since the tragedies of September 11, there is one word to describe the
type of technological literacy that engineers, technologists and the rest of us
need: Rights. Constitutional rights, civil rights, and human rights, tenuous as
they always are for the disenfranchised of the world, are being seriously
undermined in the war on terrorism and the Bush doctrine of pre-emptive
violence that accompany globalization and expansion of empire. The more the
United States (USA) assumes the role of empire (Ignatieff, 2003), the more
difficult the USA's Bill of Rights and international charters of human rights will
be to sustain. Confrontations with fear and terror, police and military
intimidation, propaganda, global expansionism, oil, and empire are dependent
on the new convergences of communication, information, and medical
technologies. Technological literacy in a post-September 11 context cannot be
described nor understood outside of these dependencies and convergences. If it
is to have any meaning at all, technological literacy must be about the value of
rights, first and foremost— historically won human rights, the rights of women,
worker's rights, civil rights, the rights of the downtrodden of the world, gay and
___________________________
Stephen Petrina (stephen.petrina@ubc.ca) is Associate Professor in Technology Studies at the
University of British Columbia, Vancouver, British Columbia, Canada.
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lesbian rights, animal rights, and today, general environmental rights. This is
the backdrop against which Technically Speaking ought to be read.
Channeled through editors Pearson and Young and the National Academy
of Engineering (NAE), Technically Speaking is the product of nearly three
years’ worth of input from the Committee on Technological Literacy
(TechSpeak), a group appointed through the NAE and National Research
Council. The twenty members of the committee were handpicked from a range
of fields including technology education (Paul DeVore and Rodney Custer).
Judging by their publications, many with which I am quite familiar, the group
represents right and moderate positions on the political spectrum. The few
exceptions, such as Taft Broome, Jonathan Cole, Mae Jemison, and Thomas
Hughes, have leaned left in their analyses of race (Broome), stratification in
science (Cole), adult literacy and development (Jemison), and social history
(Hughes). Of course, technological literacy is not an abstract, neutral concept;
its various manifestations derive from the politics of its creators. It is this basic
sociological concept that the authors of Technically Speaking, be it the 1963 or
the 2002 version, fail to grasp. Neither literacy nor knowledge is neutral, transcultural,
or trans-historical (Petrina, 2000a, 2000b, 2000c).
I demonstrated how derivations of technological literacy from the right of
the technological literati mark commonplace manifestations in “The Politics of
Technological Literacy” analysis published in 2000. In an ethical breach, this
article, which TechSpeak requested for their deliberations, was not cited in
Technically Speaking. In our current global crisis of war and rights, and as an
expatriate living in Canada, there are bigger issues to take up with the committee
and their version of literacy.
Chapter two of Technically Speaking concludes with the juxtaposition of
the USA's unmatched economic and military power against the relative
technological illiteracy of its citizens (pp. 70-71). The authors conclude that this
is a “paradox.” However, there is nothing paradoxical about it. The power of
empire, the type of economic and military power currently exercised by the
USA, is derived from indoctrination in the ways of capitalism, erosions and
violations of basic rights, and illiteracy in the ways of political participation in
science and technology. This power is derived from precisely the type of
literacy that the authors of Technically Speaking advocate. The type of literacy
TechSpeak advocates for citizens would shore up economic and military might
in the USA even further (pp. 40-42). It would shore up the xenophobia
necessary for empire and competitive supremacy. Hence, TechSpeak bemoans
the fact that empire depends “on workers brought in from other countries.” “A
campaign for technological literacy could lessen our dependence on foreign
workers to fill jobs in many sectors,” TechSpeak asserts (pp. 5, 42).
“Technologically literate citizens would be less likely to support policies that
would undermine” the economy, such as regulation and curbs on free enterprise
(p. 40). On the one hand, TechSpeak wants unfettered capitalism for the USA
and on the other wants to increase participation, equity, and enhance the social
well-being (pp. 25, 43-44). This is the double-speak of TechSpeak. These
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contradictory views, which I documented in my analyses of technological
literacy and the Technology for All Americans project, were commonplace in
the pre-September 11 era as well (2000a). “More power over foreigners without
foreign dependence” is the only disposition toward economic and military might
in Technically Speaking. Similar to the International Technology Association's
Standards for Technological Literacy, there are no connections made between
literacy and the disproportional volumes of consumption and waste in the USA,
or between literacy and resignation to the dangerous arms build-up and
intimidation tactics of the USA government and military across the world. A
values-oriented literacy, such as that described by Michael Moore in Stupid
White Men, would define literacy in terms of rights, sustainability, and
opposition to excessive military and police surveillance.
TechSpeak advocates a values-free, fence-sitting literacy, illustrated in the
three case studies of chapter two (pp. 26-36). The case studies are very well
written, interesting, and if rethought, have great potential to be the types of
exemplars necessary to convey a more critical technological literacy to large
audiences. In these case studies and the characteristics of a technologically
literate citizen that follow, TechSpeak situates literacy on the fence as a
complacent, neutral practice. The case of California's energy crisis and rolling
blackouts is a good example. TechSpeak's average citizen would understand a
few things about electricity, evaluate a few proposals to stabilize energy
markets, weigh the costs and benefits of efficiency, change a light bulb, flip a
tripped circuit breaker, and turn the air conditioner down a bit at home or work
(p. 36). This is already the level and activity of the average citizen and it
underwrites the comfort and convenience demanded by the American dream of
California. My technologically literate middle-class citizen would have the
political disposition to immediately reduce personal consumption by 15%, to
lobby the government for the regulation of energy production and use, and the
courage to speak out against the norm when it came to energy and consumption
(Petrina, 2000c; Petrina and Volk, 1993). Critical literacy would emphasize the
difference between the have middle and upper classes and the have not migrant
workers of California, and the activism necessary to champion citizenship and
rights for the thousands of illegal immigrants at work in the Sacramento Valley.
My average citizen would recognize that the wealth and massive rates of
consumption of energy in the Silicon Valley and water in Los Angeles come at
the poverty and thirst of millions of Mexicans to the south.
Chapters three and four are the most accurate and helpful in the book. Here,
TechSpeak shifts from their troubling normative positions to descriptive
analyses of surveys of technological literacy, participation rates in making
technological decisions, and the institutional players in the teaching of
technological literacy. While there is nothing new in these sections, the data
provided will serve educators and researchers looking to embellish or support
their advocacies for technological literacy. These chapters buttress the eleven
recommendations that conclude the book. A top-heavy reliance is placed on the
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National Science Foundation to insure the implementation of the altogether
innocuous recommendations.
Technically Speaking will serve boardroom and office maneuvering for
policy based on the recommendations, but at the grass roots technological
literacy is about the rights of everyday people across the world. Rights for most
in the USA were reduced over the last three decades to little more than property
rights and the rights of consumer choice (Apple, 2002). Technological literacy
has to be about more than informed consumer choice, contrary to the portrayal
in Technically Speaking.
My recommendation is that the technological literati move themselves and
literacy off the fence to attend to the interrelations between technology and
rights. In the Bill of Rights of the US Constitution, the First Amendment
secures the freedom for the expression of thought and opinion. It protects our
most sensitive areas of personal expression: religion, ethics and political
philosophy. Technological literacy would empower individuals to use the new
technologies to express and inform themselves about the content and violations
of rights throughout the world. This literacy would also enlighten citizens about
technological threats to free speech and privacy. The Fourth Amendment
protects rights to individual privacy and against the practice of arbitrary power
and surveillance. The new technologies of surveillance threaten individual
rights protected under the First and Fourth amendments. Satellite systems
empower commercial owners and governments with the abilities to monitor and
manipulate public and private activities. Data mining systems, extensively
marshaled for surveillance in the post-September 11 era, provide the means to
track and trail the quotidian cultural and financial activities of citizens. Remote
surveillance violates common notions of privacy and one does not know
anymore whether s/he is under observation. Complementary to remote sensing
systems are the technologies for intimate sensing. Intimate sensing provides the
government— the police, CIA, or FBI— or private companies, with the means
to detect identity and monitor the use of drugs or sexual activities. Fingerprint,
retinal and voice recognition, or semen, urine and DNA analysis, are just some
of the new technologies that threaten Fourth Amendment rights. The power to
intrude into the very core of personal autonomy and privacy is accessible to
nearly anyone or any institution with the means. Invasive technologies also
threaten rights protected under the Fifth, Sixth and Eighth Amendments. These
amendments protect citizens accused, convicted, or suspected of crimes. The
new forensic technologies offer governments incredible powers to try and
predict who is and who is not a threat to national security or policing. Racial
profiling, biochemical technologies, and genetics provide the incentive to
identify determinants of criminal behavior and the temptation to intervene prior
to the commitment of a crime (Office of Technology Assessment, 1988).
Technological literacy would empower citizens to agitate for the regulation of
intimate and remote surveillance and restrictions on government, police, and
security.
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Prior to September 11, it was easy to be complacent about mundane things
like empire, literacy, security, technology and human rights. Now, we no longer
have the time for complacency and we gambled away the luxury. We are all
complicit in terrorism, war, the abuses of rights, and the technologies that
support these activities. Literacy aside, it's time we got active and smart.

Moving Beyond Cultural Barriers: Successful Strategies of Female Technology Education Teachers


Moving Beyond Cultural Barriers: Successful Strategies of Female Technology Education Teachers

Raymond R. McCarthy and Joseph Berger

Women are underrepresented in Science, Technology, Engineering, and Math fields of study and careers with a subset of STEM—Technology Education—possibly one of the least integrated fields for women as students and as professionals (Akmal, Oaks, & Barker, 2004; Braundy, 2004; Braundy, Petrina, Dalley & Paxton, 2000; Zuga, 1996; Zuga, 1999). What accounts for this situation and what are potential remedies? The purpose of this study was to learn about the ways in which female technology education teachers understand sources of influence on their career choices. The findings from this study are intended to provide insights into the participants’ perspectives that might shed light on how to better encourage females to aspire to and enter technology education as a profession. The conclusions derived from this study may help to create a deeper understanding of how women move beyond cultural barriers and make “unexpected transitions” to become female technology education teachers. This qualitative study is based on interviews with ten female technology education teachers.
This study is significant because little change has been made towards increasing female participation in STEM fields despite millions of dollars spent to overcome the shortage of women in STEM studies and careers (Haynie, 2005, National Education Association (NEA), 2003a; National Education Association (NEA), 2003b; National Science Foundation (NSF), 2002; National Science Foundation (NSF), 2003a; National Science Foundation (NSF), 2003b).
More young women need to be encouraged to pursue STEM careers, but cultural deterrents (Kandaswamy, 2003) to female inclusion in these fields are very resilient. Young girls need female technology education and STEM role models to guide them into these non-traditional fields since gender role modeling directly supports intellectual and emotional growth (Grant & Ward, 1992; Kandaswamy, 2003). Therefore, “trailblazers” (Schlossberg, Waters., & Goodman, 1995) need to be encouraged to strike out and mark some possible paths so that more women may feel empowered to participate in these fields. A literature review identified three primary factors related to women participating in male dominated professions:
Women were, and in some parts of the world still are, confined to hearth and home (Bassavage, 1996; Kandaswamy, 2003). However, for the past 250 years, American women and men have been working to advance gender equality (McCullough, (2001), Women’s International Center (1997), Zuga, (1999).
Since its inception, America has turned the status quo upside down in governmental organization, technological advances, educational systems, and societal/cultural evolutions (McCullough, (2001), Women’s International Center (1997), Zuga, (1999).
However, in spite of all these changes—including the women’s liberation movement of the 1960s-1970s—girls and women are still not fully participating in male dominant STEM fields of study and work (Dick & Rallis,1991; NEA, 2003a, NEA, 2003b, NSF, 2002, NSF, 2003a, NSF, 2003b).
The gender inequity in these STEM fields confounds educators, researchers, and policy makers. A new paradigm, a change of focus, is essential; one that aims at something other than the efficacy of recruiting techniques (NSF, 2003) which succeed only marginally. New research is needed that investigates what “triggers” or pivotal events (Schlossberg et al., 1995) encourage women to become professionals in STEM careers. This investigation could use women’s “ways of knowing” (Goodwin, 2000; Zuga, 1999) to identify different paths that girls and women can follow to gain better equity in high paying fields and help strengthen our country’s future.
It has been documented that women who experienced STEM encouraging cultures—played with boys and “masculine” toys in their pre-school lives or looked up to same-gender role models in STEM related activities during their formative education—might be interested in pursuing technology related careers (Armstrong & Leder, 1999; Grant & Ward, 1992; Silverman & Pritchard 1996; Welty and Puck, 2001). Furthermore, research shows that there are many attempts to create recruiting programs to encourage girls and young women to consider studies and careers in STEM fields (NSF, 2002 & 2003a&b; Silverman & Pritchard, 1996; Welty & Puck, 2001) but these efforts seem to improve the situation only marginally. In this context, this study seeks to help identify pivotal points in young girls’ lives: what are the causal events that “trigger” (Schlossberg et al., 1995) the commitment to the study of non-traditional subjects and eventual employment in related fields.

Conceptual Framework

The foundation for the conceptual framework is a construct derived from the work by Schlossberg (1984) and Schlossberg, Waters, & Goodman (1995) in combination with Kandaswamy (2003). While Schlossberg (1984) writes about transitions that adults go through in careers, relationships, and life changes, this study focuses on adult transitions as young women discuss how they chose to enter a specific male-dominated field, while also considering how the concept of transitions can be applied to the transformation of young girls to women. First, and perhaps most importantly, girls, from birth to womanhood, live through a long series of transitions defined by Schlossberg (1984) as “any event, or non-event that results in change anticipated, unanticipated … [in] relationships, routines, assumptions, and roles” (p. 47). These transitions are shaped by what Schlossberg, Waters, & Goodman (1995, p. 27) call “the theory of the “Four Ss”… situation, self, support, and strategies.” Schlossberg et al. (1995) define:
  • “Situation” as the way a person uses her past experiences and abilities to deal with transitions and make adjustments due to the changes.
  • “Self” as the way a person is helped or at a disadvantage due to her personal attributes or resources in facing change.
  • “Support” as the many support systems that help a person undergoing change.
  • “Strategies” as the way a person responds when facing change (p. 113).
While the work of Schlossberg and her colleagues focused specifically on adult transitions, Kandaswamy (2003) stated that both girls and women must make choices and transitions that are typically confined to culturally accepted roles—such as mother, nurse, teacher, and secretary— that result from a series of transitions throughout their lives and are reinforced by “social myths, conditioning, the media itself, deterrence, and the problem of ‘balancing.’”
Following this line of inquiry, the participants were asked to identify those stimuli that caused their life transitions that culminated with their becoming technology education college students and then teaching professionals. The following section details the research questions that produced the data for this inquiry.

Methodological Approach

This study was guided by three main research questions:
  1. What are common themes in the female technology educators’ lives and educational experiences that can shed light on more efficacious ways to increase the numbers of females participating in STEM fields and technology education in particular?
  2. What strategies did these female technology education teachers develop to overcome the gender barriers blocking their chosen careers?
  3. What steps do the participants believe should be taken to attract more women to technology education studies and careers?
In order to answer these questions, ten female technology education teachers were interviewed as part of a qualitative study. This approach was selected because “qualitative studies are…an overall strategy” that aims at getting deep, rich, descriptive data (Rossman and Rallis, 2003). Further, Rossman and Rallis (2003, p. 104) write that qualitative studies often focus on “psychological roots” when examining individuals. The participants’ “roots” (p. 104) are at the center of this study with the interviews focused to examine how these women came to their choices in the midst of their transitions.
The ten women included participants who were initially identified through a local technology education association and then a purposive snowball sampling technique (Rossman & Rallis, 2003) was adapted as participants recommended additional female technology educators for inclusion in the study. Each of these women participated in two semi-structured interviews that were based on questions derived from the conceptual framework. The first interview focused on obtaining narrative data related to the three main research questions. The women subsequently kept a journal for fourteen days that focused on recollections of key transition points and sources of influence during their formative years. The second set of interviews followed-up on the preliminary analysis of the previously collected data. Finally, a focus group was conducted with three of the women as the basis for checking the data and findings to ensure authenticity and trustworthiness from the perspective of the participants.
The ten women ranged in age from twenty-five to fifty-six. They had taught technology education for a minimum of three years to a maximum of twenty- two years with a mean of fifteen years at the time of the study. Three were unmarried. All had earned at least a master’s degree and four had earned either a Ph. D. or Ed. D. Eight participants were Caucasian, one was African American, and one was Chinese American. Participants were living and working in Connecticut, Massachusetts, North Carolina, Ohio, and Virginia. The participants were randomly assigned alphabetical aliases — no ethnic, socio- economic, or geographical connotations were connected with these names.

Results

The overall findings from this study suggest a complex model in which female technology educators make the transition into this male-dominated field as the result of the combined effects of support from others, situation specific contexts, and self-identified characteristics in conjunction with specific strategies that helped move them into their chosen careers. These concepts are represented in the Developmental Process Model in Figure 1. More specifically, our model, based on Schlossberg et al. (1995), attempts to illustrate the dynamic forces that prepared these women for their study and career choices. The “self” bubble depicted the participants as “tom boys” who were inquisitive, active, hands-on learners who did not feel that girls should be limited to “girlie” activities. The “situation” bubble showed that these females lived and learned in supportive, non-confining families, homes, and schools. The challenges were getting the type of experiences that these girls/young women craved while the benefits were those experiences in which they were allowed, even encouraged, to participate. The participants were aided and supported by fathers, grandfathers, and male technology education teachers in gaining experience and skills in these hands-on activities. Furthermore, the “support” bubble showed that teachers and professors as well as family members had influence in shaping these women’s futures. Only two members of the study had very supportive counselors (Brit said, “I never saw a counselor. I wouldn’t recognize them if I saw their pictures.” Five had similar experiences and all ten saw a need for better counseling. The “strategies” bubble symbolizes the intentional as well as coincidental ways the participants pursued their interests playing to their strengths. Several of the members of this study indicated that hands-on tool and material use were early interests and the term “technology” was slipped in as they became college students. The categories of support, situation, and self all influenced the strategies used by these women as they made transitions throughout their lives that led to their current roles as technology education teachers. Throughout these experiences and transitions, the participants described how they must continually balance their own sense of self, personal situations, and types of support in order to strategically make successful transitions into roles that are not traditionally supported for females in this society.
Figure one is a Vin Diagram for the developmental process model. Inside the diagram are five major categories including Support, Situation, Self, Strategies, and Transitions. There is also a seperate bubble for Female Technology Education Teachers. Within each bubble there are at least two characteristics for each category such as conflicted gender identity for Gender or indentify with male roles in strategies.
Figure 1. The Development Process Model for female technology educators
The “transitions” bubble represents the “non-event that results in change anticipated or unanticipated” (Schlossberg et al., 1995) that these participants felt concerning their choice of studies and careers. The participants all felt that their choice of study and career was natural without a sudden “Aha!” moment. All responded that they had been supported in their professional pursuit by a technology education teacher in their educational career, whether it was in middle or high school, college, or starting over in a second career.
In response to the first research question, “What are common themes in the female technology educators’ lives and educational experiences that can shed light on more efficacious ways to increase the numbers of females participating in STEM fields in general and technology education in particular?”, several evolving themes were identified from the interviews and journals. As summarized in Figure 1, early childhood self-identity, choice of play, and interaction with playmates seemed to prepare these women for comfort in interacting in male dominated contexts and experiences. Not surprisingly, family support and parental encouragement seemed to play a big role in allowing these women to feel more at ease in using tools and machines that are considered male objects in American culture. The data from this study indicate that direct and indirect male role modeling involving tool and machine use, workshops, and home-improvement activities appeared to have engaged the girls who later became proficient in tool use themselves. The participants in this study noted that mothers often served support roles. While mothers might not actually use the tools and build projects with the girls, they either encouraged their daughters to explore all sorts of non-traditional activities, or allowed the girls to investigate activities and educational experiences that interested them.
Since these women were interested in “non-traditional” activities and “guy” pursuits early in their lives, they needed to develop strategies (Schlossberg, et al., 1995) that both mollified apprehensive loved ones concerning their safety and allowed themselves to feel comfortable in pursuing their chosen fields of study. These women reported that fathers, grandfathers, and other male role models made positive connections early in these women’s lives. These father/daughter moments were early strategies to get to do “active, not passive” things, like hammering, using tools, and playing football.
These positive early childhood interactions with men set a pattern for the girls/young women/women. By identifying well with adult males, male cousins, and male siblings while enjoying the interaction with the same, these girls “felt comfortable with fluid gender roles” and were able to slip in and out of the male world. Even today, participants agreed with Brit that “it’s just maybe not being pigeonholed into one particular group.” As these girls entered middle school, a few in private schools but most in public, they were still positively engaged with male relatives after school, on weekends, and in the summer.
All of the participants mentioned male technology education teachers with whom they had a special connection. Other recurrent themes in the interview responses include the recollections that male technology education teachers, in middle school, high school, college, or as professional colleagues took many of these girls/young women/women into mentor-protégé relationships when the teachers recognized, supported, and rewarded the women’s talents, skills, and abilities in technological activities and related fields of inquiry.
These male teachers “took them under [their] wing” to support their technology education interest. For some of the respondents, the “trigger” (Schlossberg et al., 1995) point was in middle school, others in high school, still others in college. One participant found guidance and support for her conversion from teaching English to technology education by a soon-to-retire teaching colleague, finally two participants were certified Civil Engineers who decided to move laterally into technology education to satisfy a need to give back to the next generation. Consciously or subconsciously, these women sought male role models who could guide and support their studies and interests as most of the participants’ fathers or grandfathers had done in their early childhood and youth. Further, intervention by guidance counselors was crucial for two of the study’s members when the girls’ interests did not line up with the traditional home economics or art classes; the guidance counselors said “go for it” in automotive shop and architecture.
One theme that appears to be central in understanding women in technology related fields is that these women were comfortable (as several participants, Anna, Brit, and Jan, mentioned) “being fluid in their own gender roles.” Several women noted that female technology education teachers have to be many things to many people. Sometimes they are “one-of-the-guys,” but in other situations, these women model to their students how women are able to interact with modern technology. These teachers report that males often surround them in typical lab experiences and they feel comfortable in this situation. As Brit said: “I’m a bit of an anomaly still, the female in the technology education department, and so people will say, oh, how is it working with all those guys? I say, well that’s the story of my life, that’s the way it is. My classrooms are filled with boys, but I don’t spend time dwelling on it.” In a later interview, she reinforces this with, “It doesn’t faze me to be in a room that is full of boys.”
At other times, these women have to solve design and equipment issues such as importing a graphic design while modeling problem solving behaviors to encourage girls to go beyond the girls’ stereotypical beliefs (“a girl doesn’t do that computer hardware stuff” (Cat). These women have developed multiple ways to interact with information, materials, tools, and learning, as well as being a “jack-of-all-trades (sic).” Since technology education covers such a wide range of skills and understandings, technology education teachers may have up to five different “preps” (different subjects to be taught, i.e. manufacturing, communications, drafting/CADD, research and development, and pre- engineering). These women have to be both knowledgeable in these subjects and overcome sex-role stereotypes while teaching the subjects. Indeed, technology education has been criticized (Leadership Forum discussions at the ITEA conferences, 2006 & 2007) because it is so hard to “brand” technology education because it has so many different skill sets and avenues of expression and understanding. However, these women who were able to be hands-on technology education teachers during the day and then get dressed up to go out to dinner in the evening have the ability to be comfortable in their skins at any given time.
In response to the second research question, “What strategies did these female technology education teachers develop to overcome the gender barriers blocking their chosen careers?,” all participants noted that they had to develop “strategies” (Schlossberg, et al., 1995) to be able to fulfill their need to pursue “non-traditional” activities and “guy” pursuits early in their lives. As the model depicts, these girls needed to develop systems of interaction with others that both appeased friends and relatives regarding their safety while they felt engaged and invigorated while playing, learning, and interacting with male peers and adults. Some of these women relied more on deliberate strategies, while others engaged in activities that were less consciously active, but in direct reaction to how their sense of self interacted with the situations and types of support they encountered while growing up.
The male role models who made positive connections early in these women’s lives encouraged their female protégés to explore and find success in hands-on activities. These girls’ earliest strategy to satisfy their innate drives to manipulate tools and materials while being active was to use the time spent with their fathers/grandfathers to be able to play the roles of dynamic, active people who could do things like tinkering with machines, using tools, and playing baseball and other “non-traditional” games and sports. These positive early childhood interactions with men set a pattern for the girls/young women/women. During the focus group discussion, Fiona said her “best memory of working with her Dad was roofing the summer camp…that was great!” Their early interactions with males gave these girls plenty of practice in being “comfortable with fluid gender roles” and were able to slip in and out of the male world. This slipping in and out of the gender role would become a lifelong strategy to help them to be, as Anna said, “comfortable being me.” Even after the girls entered primary education, they found time (recess, after school, and on weekends and vacations) to keep playing, working, and mixing with young and older males.
As these young women entered middle school and high school, they found some kindred spirits with male technology education teachers with whom they had a special connection. The strategy of finding male technology education teachers permitted the girls to continue their pursuit of kinesthetic, active, and rewarding activities. Consciously or subconsciously, these women sought male role models who could guide and support their studies and interests as most of the participants’ fathers or grandfathers had done in their early childhood and youth.
Another strategy to find success in the technology education field was to take on “male” roles in order to find success in these male dominated activities. Many of these women worked in business, construction, civil engineering, and cabinetmaking before transferring to technology education teaching. As Fiona said: “Most of my working career was predominantly with men. Even when I was doing part-time jobs in college…most of the time, it was with men. In business the majority of people that I worked with were men.” These women’s earlier jobs were hands-on and male oriented. The participants stated that these earlier work experiences helped to prepare them to teach mostly male students in technology education courses.
Further strategies that helped these women develop a positive sense of self included their enjoyment of hands-on activities, which led to hobbies (Brit: “I fooled around with model planes…” which led to studies, which led to employment (“My shop teacher hired me to work construction in the summers…,” explained Gina) and careers teaching technology education. These women developed more technological skills (in drafting, graphics/communications, engineering, and materials processing) as passage keys to move into “male oriented” careers.
One final universal strategy that participants used was to “over-achieve,” to demonstrate that they were equal to anyone in the field. While several women remembered having a tough time in some part of their schooling, the minute they focused on technology education in college and then in their careers, they channeled their energies to succeed. This over-achieving was identified in several ways. One way of going “above and beyond’ that the participants recognized was how long they stayed after school to offer extra help and to prepare the next day’s, week’s or units’ learning experiences. Male teachers were perceived to be less willing to do extra preparation or spend extra time. Women technology educators were also seen (by Anna, Brit, Fiona and Jan) as more willing than male co-workers to work and participate in local and national technology education societies such as the Technology Student Association (TSA) and professional associations such as CTEA and ITEA. Finally, in this small study, this over-achieving strategy is exemplified by the fact that most of the teachers had earned at least a master’s degree, several had multiple degrees, and four were pursuing or had earned tertiary degrees, indicating personal drive to achieve.
In response to the third research question — “What steps do the participants believe should be taken to attract more women to technology education studies and careers?” — participants made several suggestions for attracting more females into their chosen profession. First, several of the participants proposed that some type of technology class become mandatory for all students in high school. “Girls do great in Tech Ed (sic) in middle school. But once they go up to the high school, whether because of traditional gender role notions, or just because there are so many new electives, females do not get to experience Tech Ed at a more advanced level” said Eva. This is supported in the literature (Braundy et al., 2000; Monks & Van Boxtel, 1992; Silverman and Pritchard, 1993 & 1996; Wisconsin, 2000).
Two participants responded that “the hiring of new staff” who are more enlightened will create a safer and more welcoming environment for girls and young women. One female teacher noted that the gender ratio of her students had become more equitable every year since she began working at her school although “manufacturing classes still drew more male students.”
The three study members who attended the focus group meeting wanted to add their unanimous belief that guidance counselors wield a great influence on the course selection of girls/young women upon entering high school. This group of participants suggested that school counselors should be better informed regarding technology education and should be educated regarding the wide range of STEM activities and careers that are available for girls.
Another respondent touched on the budgetary issues and the lack of national support for Career and Technology Education in the national “No Child Left Behind” legislation. “I think that the most important issues facing technology education are opposing and avoiding cutbacks to our profession.” Another concurs, “We need to actively lobby our local, state, and national legislators in order to ensure that our profession is not one budget cut away from elimination.”
Yet another responded that the “way to strengthen our profession is to look to… reflect the diversity of [our student and community] populations in our own classrooms and enthusiastically mentor students and colleagues who show an interest in technology education or related careers.” Further, she states that, “If we start bringing in guest speakers, resources, and materials that represent the different genders and cultures of our students they will be able to form better pictures in their minds about what they can do in technology education and more. Then, we need to encourage our students and colleagues to explore their options involving a technology education career. We need to offer more professional development opportunities for lateral entry professionals, scholarships for people interested in technology education, and a mentoring network that targets numerous populations.”
Another’s suggestions included: “…[W]e must ally ourselves with other teaching organizations, such as the Association for Educational Computing and Technology, the Association for Career and Technical Education, the National Science Teachers Association, the National Education Association, and the National Council of Teachers of Mathematics” in order to collaborate to educate the “whole student.”

Implications

This study sheds new light on the extent to which cultural beliefs, institutional policy, and education, the media, and mentoring/role modeling bar or encourage girls/young women/women to pursue studies in technology education and perhaps other STEM fields. The study showed that these factors are important and they all contribute to the worldview of women that supports or constrains their career choices. The findings from this study indicate that girls need positive role models in life and in school. In early childhood/childhood, all but one of these participants had a very positive relationship with an adult male, either a father or a grandfather, who guided them through experiences that supported their interests in these activities. These positive experiences started at an early age and continued throughout their lives. The essential finding of this study seems contrary to much of the recent STEM related literature. A good deal of the literature (Braundy, et al., 1999; Grant & Ward, 1992; Kandaswamy, 2003; NSF, 2003) suggests that children develop self-image best through same-gender role modeling. However, these respondents suggested that girls benefit from positive male role models who support the girls’ explorations in hands-on, problem solving activities early in their youth and continuing throughout their youth, including their middle and high school experiences.
The Developmental Process Model explains that the building blocks to attract more girls/young women/women are derived from positive connections with others, development of confidence due to success and praise, and the bonding or connecting with adult role models who provide positive emotional ties. At the focus group meeting, Fiona said with a sigh, “What a relief…a load off women’s shoulders to finally hear that men (sic) are part of role modeling for young women. All I’ve ever heard is that women need to draw more girls into Tech Ed.” The Developmental Process Model suggests that everyone, especially males, need to connect to the next generation and guide our youth in a positive manner.
This study also found that these participants felt good about math and/or science early in their educational careers. Silverman and Pritchard (1996), who found that “beliefs about math and science were also an important factor in the decision of girls … to take advanced courses or pursue such subjects as careers,” support this finding. This study indicates that to get more girls to consider STEM areas of study, including technology education, and possible careers in these fields, parents and teachers, especially fathers and male teachers, need to develop and display an inclusive belief system, knowledge of pedagogy, and familiarity with new techniques and technologies. The findings from this study point to a number of specific activities that would be helpful to prepare female students for a technological future. Recommendations include:
  1. Provide information on diversity, accessibility, and learning styles (Gardner, 1993, 2000) to make families and faculty aware of the nature of girls’ learning needs and, as Fiona said, provide “resources, and materials that represent the different genders’ [interests so girls] will be able to form better pictures in their minds about what they can do in technology education.”
  2. Provide educational experiences to boys and men that express and impress how important positive, caring, role modeling is to all children’s (girls and boys) [authors’ emphasis] development. Most of this study’s participants had positive relationships with their fathers, grandfathers, and male teachers. These women believe that they proceeded into these STEM related careers because their male role models and teachers encouraged and supported their quests.
  3. Create opportunities for elementary teachers to become more familiar and comfortable with the use of math, technology, and science in the classroom, especially emphasizing that all human beings, not just males, can be successful in these areas. Manning & Manning (1991) wrote that American elementary schools create many students who are not comfortable with math and science because the women who teach elementary students have been “conditioned by society and their teachers to dislike” science and math or to feel they cannot do science or math well. The literature (Sanders, 2005; Sadker and Sadker, 1994) suggests that young girls, who look to the teachers as role models, feel inadequate to pursue science, math, and related topics due to their teachers’ implied message that these topics are not for females. Adding to the dilemma is the fact that over 80 % of elementary school teachers are women (NEA, 2003b).
  4. Incorporate technology education and engineering principles early in the curriculum to expose girls and boys to real applications for math, science, and technology. The participants in this study indicated that they had positive or very positive experiences with fathers and grandfathers while using tools and technology in their early childhood experiences. However, more than 25 million children in America (Children’s Defense Fund, 1998) are in single parent households with little or no connection to their fathers or other male relatives. Therefore the responsibility of the public school system to provide male modeling and support is increased.
  5. Encourage more males to enter early childhood education so that positive male role models are available to young children in balance with the positive female role models that already exist. This balance could be considered a national emergency (see #4 above).
In terms of public policy, the findings from this study raise the question “What is the national commitment to improving the equity in technology education and STEM education?” Administrators and legislators should develop new ways of thinking about making STEM education and fields more relevant and interesting to girls and young women throughout their educational careers. First, math and science should be made more accessible for girls in all grades. Further inclusion of technology education and STEM in the primary school curriculum, meaning both the inclusion of better science and math learning experiences as well as technology education, is needed. Second, re-prioritizing financial resources to better assure inclusive pedagogy would help to provide materials, equipment, and technology needed to increase gender equity in STEM education. It is important to restructure budgets to include specific allocations for technology education pedagogy. A national effort in this regard would address one of the participant’s (Anna) comments that “I think that the most important issues facing technology education are opposing and avoiding cutbacks to our profession.” Another participant, Jan, concurs, “We need to actively lobby our local, state, and national legislators in order to ensure that our profession is not one budget cut away from elimination.”
There are also implications for further research. This small qualitative case study is limited by the “chain” or “snowball” sampling technique simply because there is no clearinghouse of data on female technology education professionals. A quantitative study that could randomly sample a significant cross section of the female technology education teachers would have more significance in strategic goal discussions in education and possibly have an impact on national educational policy formation. As a precursor for such a study, demographic information needs to be collected to describe teachers in regard to age, ethnicity, gender, and topics taught. This would provide a demographic baseline of the profession, with gender and ethnicity being particularly important.
Once a baseline study is completed then professionals in the field can begin to address the difficult questions about technology education. For example, do technology education teachers think about and respond differently to female students? Do instructional strategies change for female students so that they are encouraged or discouraged? The qualitative case study reported herein was conducted as a very small, focused, research project. Expanded research involving a larger number of participants that accurately represent a cross- section of female technology education teachers would give these results more generalizability.

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