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DOCUMENT RESUME
ED 379 811 EC 303 684
AUTHOR Jensen, Rita A,; McMullen, David
TITLE A Study of Gender Differences in the Math and Science
Career Interests of Gifted Fifth and Sixth
Graders.
PUB DATE Apr 95
NOTE 20p.; Paper presented at the Annual Meeting of the
American Educational Research Association (New
Orleans, LA, April 4-8, 1994).
PUB TYPE Speeches/Conference Papers (150) Reports
Research /Technical (143)
EDRS PRICE MF01/PC01 Plus Postage.
DESCRIPTORS *Age Differences; Career Choice; Elementary School
Students; Enrichment Activities; Family Environment;
*Gifted; Grade 5; Grade 6; Intermediate Grades;
*Mathematics; *Sciences; *Sex Differences; *Student
Attitudes; Student Development; Student Interests;
Summer Programs
IDENTIFIERS 'Access to Computers
ABSTRACT
This study explored relationships between gender and
the math and science interests of fifth and sixth graders (N=105) who
participated in a summer enrichment program for gifted students. A
researcher-developed questionnaire was utilized to obtain demographic
data about the students and their intent or desire to pursue careers
in math and/or science fields. No significant relationship was
identified at the fifth grade level between gender and students'
interest in math/science careers. However, a significant relationship
was apparent for sixth grade students. A similar pattern was revealed
for the variable of computers in the home, finding no significant
relationship between gender and a computer in the home at the fifth
grade level, while finding such a relationship at the sixth grade
level. The relationship between students' career interests and their
mothers' and fathers' career choices was not significant. Among
students who indicated interest in careers involving math and/or
science, there was a desire to take additional science courses but
not additional math courses. (Contains 11 references.) (n)
***********************************************************************
Reproductions supplied by EDRS are the best that can be made
from the original document.
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UAL DEPARTMENT Of EDUCATIL
Otbce of Educational andiron and Improvement
EDUCATIONAL RESOURCES INFORMATION
CENTER tERICI
gus document has been reproduced AS
received from the person or agenuatcon
originating If
O Minor changes have been made to improve
reproduction quality
Points ol laqeW Of opinionsststedin this docu-
ment do not necessarily represent official
OERI position or policy
A Study of Gender Differences in the Math and Science
Career Interests of Gifted Fifth and Sixth Graders
Dr. Rita A. Jensen
Assistant Professor
Bradley University
208 Westlake Hall
Peoria, IL 61625
(309) 677-3191
"PERMISSION TO REPRODUCE THIS
MATERIAL HAS BEEN GRANTED BY
TO THE EDUCATIONAL RESOURCES
INFORMATION CENTER (ERIC)
Dr. David McMullen
Assistant Professor
Bradley University
303 Westlake Hall
Peoria, IL 61625
(309) 677-3204
Running head: GENDER DIFFERENCES IN MATH AND SCIENCE
BEST COPY AVAILABLE
Gender Differences in Math and Science
7
Abstract
This study explored the relationships between gender
and the math and science interests of fifth and sixth graders
who participated in a summer enrichment program designed
for gifted students. A researcher-developed questionnaire was
utilised to obtain demographic data about the students and
their intent or desire to pursue careers in math and/or science
fields. No significant relationship was identified at the fifth
grade level between gender and students' interest in careers
involving math and/or science, but a significant relationship
was apparent for sixth grade students. A similar pattern was
revealed for the variable of computers in the home, where
there was no significant relationship with career interests at
the fifth grade level, but there was a significant relationship
between computers in the home and career interests at the
sixth grade level.
3
Gender Differences in Math and Science
3
INTRODUCTION
The much heralded 1992 American Association of
University Women (AAUW) report, How Schools Shortchange
Girls, presents a compilation of research which deals with the
education and educational achievement of American females.
The report states that, although gender differences in math
achievement and spatial skills have declined somewhat, gender
differences in science achievement are not decreasing, and may
be increasing. Gender differences also exist in math confidence,
and these differences correlate strongly with girls' continuation
in math and science courses. Perhaps most notably, gender
differences extend to career plans. Even girls who demonstrate
exceptional academic preparation in science and math areas
choose science and math careers in disproportionately low
numbers.
Theoretical Framework
"The educational system is not meeting girls' needs. Girls
and boys enter school roughly equal in measured ability.
Twelve years later, girls have fallen behind their male
classmates in key areas such as higher-level mathematics and
measures of self-esteem" (How Schools Shortchange Girls,
Executive Summary, 1992, p. 1). That is one of the conclusions
drawn from the AAUW study regarding the education
American girls receive. While conceding that the differences
4
Gender Differences in Math and Science
4
between girls and boys in math achievement are small and
declining, the report emphasizes that, in high school, girls are
still less likely than boys to take the most advanced math
courses and to be in the top-scoring math groups.
Girls who view math as something males do perform less
well in math than girls who do not hold this view. During the
middle school years, girls' math confidence and math
achievement decline- -the decline in confidence preceding the
decline in achievement. Even girls highly competent in math
and science are much less likely to pursue scientific or
technological careers than are their male classmates (The
AAUW Report: How Schools Shortchange Girls, 1992).
As for science, boys tend to come to science classes with
more out-of-school familiarity and experience with the subject
matter. This advantage is furthered in classrooms where a
majority of student-assisted science demonstrations are carried
out by boys. Even when girls take advanced science and math
courses and do well in them, they often do not receive the
encouragement they need to pursue scientific careers, although
it has been established that girls rate teacher support as an
important factor in decisions to pursue scientific and
technological careers (The AAUW Report: How Schools
Shortchange Girls, 1992).
5
Gender Differences in Math and Science
Horn (1990) points out that, while young women seem to
have narrowed the gender gap in terms of taking math and
science courses, they still lag behind young men in terms of
taking advanced math and science courses such as calculus and
physics. A major purpose of attempting to reduce this gap is to
ensure that females do not prematurely exclude themselves
from career opportunities by virtue of not completing college
and university prerequisite courses in high school. In recent
years, the gender gap has decreased in professions such as
finance and medicine, but it continues in areas such as
scientific research and engineering (Tsuji & Ziegler, 1990).
The science gender gap also appeared in a study
conducted by Lovely. Results of that study indicate that
females with strong science preparation were just as likely as
males with strong science preparation to major in the natural
sciences. The attrition rates of science majors also were
similiar for both female and male students. However, women
with weaker science preparNion were more likely to abandon
the natural sciences as a major than were men with weaker
science preparation (1987).
As mentioned earlier, the self-concepts of females tend to
decline as they approach adolescents. In a study which
compared gender differences among Asian and Caucasian high
school students who were enrolled in advanced math and
6
Gender Differences in Math and Science
6
science courses, researchers found that both Asian and
Caucasian females held less positive attitudes toward
themselves than did the males who participated in the study.
In addition, as a group, the Asian males held extremely
negative stereotypes of the gifted females in their classes, and
Caucasian males demonstrated negative perceptions of their
gifted female classmates as well (Campbell & Connolly, 1984).
In another study involving gender and ethnic
background, results indicated a relationship between students'
self-images and commonly held notions of what traits are
necessary to be a scientist. Junior high and high school
students who viewed themselves as intelligent, creative, self-
confident, and independent demonstrated interest in science.
Female respondents added competitiveness to the formula of
what it takes to be a good scientist. Both gender and ethnic
background were found significant in accounting for variation
in how students assessed themselves and their abilities. Males
and Caucasians were more likely than females and Mexican-
Americans to view themselves as creative and intelligent and
more likely to demonstrate more interest in science. However,
Mexican-Americans reported more interest in taking math than
Caucasians did (MacCorquodale, 1984).
Navarro (1989) found, as the AAUW report (1992)
reiterates, that men's SAT math scores tend to be higher than
Gender Differences in Math and Science
7
women's SAT math scores. Navarro's analyses revealed that
25% of the difference between women and men's performance
on the math portion of the SAT is attributable to differences
between genders in terms of the number of years that physics,
math, and computer science courses were taken. The disparity
in the SAT scores of women and men is particularly interesting
in light of the results of studies such as the one conducted by
Rallis & Ahern (1986), who found that, at the high school level,
girls take as many advanced math and science courses as boys
and also receive higher grades in these courses than boys.
Gender and computers were the focus of Wilder, Mackie,
and Cooper's 1985 study. In a survey of more than 1,600 K-12
students, results indicated that both sexes view computers and
video games as more male appropriate than female
appropriate. In addition, both girls and boys reported that
science and math are somewhat more male appropriate and are
liked less and less as the years pass. Particularly noteworthy
was a major downward trend in attitude toward math
beginning with the eighth grade.
Although responses from younger subjects consistently
reveal that boys, rather than girls, are more likely to have
access to home computers, in a follow-up study of ninth
graders, Wilder, Mackie, and Cooper (1985) did not find that to
be the case. While 35% of female respondents reported having
3
Gender Differences in Math and Science
8
home computers, 30% of male respondents indicated they had
access to home computers. While this study uncovered more
positive attitudes toward the computer, gender differences in
these attitudes were still evident. Females reported feeling
comfortable with computers, but they felt significantly less
comfortable compared to male respondents. Females also felt
less well prepared to work with computers, although their
experiences were not objectively different from those of their
male counterparts.
Gender is not necessarily the most important variable in
explaining differences in math and science achievement. For
example, McConeghy (1987) reported that, in analyses of high
school students' math achievement, parents' education and
students' race had the greatest influence on math achievement,
and gender the least influence, of six significant independc-it
variables identified. However, the fact remains zliati even
when girls perform as well as, or better than, boys in the math
and science areas, they do not perform as well on tests such as
the SAT. Neither do they enter careers involving math and/or
science to the extent that boys do. Consequently, gender, as it
relates to students' math and science achievement, attitudes,
and career interests, remains a variable deserving of further
study.
9
Gender Differences in Math and Science
9
Need for the Study
As researchers, as well as teacher educators and
advocates for providing appropriate educational opportunities
that lead to the fullest possible development of 100% of the
population, rather than just 48%, the authors of this paper were
interested in determining to what extent emerging adolescents
already have incorporated traditional gender role expectations
into their academic choices and personal career aspirations.
Building on the premise that girls' self-concepts, as well as
their math and science achievement, suffer significantly during
the emerging adolescent stage, the matter of pinpointing when
this decline occurs becomes important. Certainly it is an issue
significant to the study of students who have been identified
for notable achievements, since the continuing development of
their skills and abilities is imperative to students' continued
success. Consequently, the study described here was
undertaken as a small step toward achieving a better
understanding of gender differences that may exist among
middle school-aged gifted students, regarding their interest in
math and science and careers involving math and/or science.
Purpose of the Study
This study focused on the math and science interests of
fifth and sixth grade students. The specific questions posed by
the study follow.
10
Gender Differences in Math and Science
10
1. What is the relationship between gender and students'
desire to take math and science courses?
2. What is the relationship between gender and students°
interests in careers involving math and/or science?
3. What is the relationship between gender and home
computers?
4. What is the relationship between being a fu-st-born or
only child and interests in careers involving math and/or
science?
5. What is the relationship between parents' careers and
their children's interests in careers involving math
and/or science?
METHODOLOGY
Subjects
The subjects who participated in this study consisted of
105 students in grades five and six who attended one or more
summer courses of the Bradley University Institute for Gifted
and Talented Youth. Of this total, 55 students (29 male and 26
female) were in the fifth grade, 50 of the students (27 male
and 23 female) were in the sixth grade, and almost all were
Caucasian.
Institute staff determine students' eligibility for the
summer program based on objective measures (e.g.,
achievement test scores, IQtest scores, grades) and on
11.
Gender Differences in Math and Science
11
professional judgment (e.g., teacher recomniendations, work
samples). The process of identification is intended to be
inclusive rather than exclusive, with a focus on students'
strengths and what they do well, rather than an obsession with
students' weaknesses and what they do not do well.
In selecting students for the Summer Institute, program
personnel consider these questions: "Will this student benefit
from the courses offered by the Summer Institute?" and "Is
this student described by the definition of gifted and talented
children found in The Illinois School Code? Article 14-A of the
state's code states: "Gifted and talented children in Illinois are
identified as those children whose mental development is
accelerated beyond the average or who have demonstrated a
specific aptitude or talent...those with exceptional ability in
academic subjects, high level though processes, divergent
thinking, creativity in the arts."
Materials
A researcher-developed questionnaire was utilized in this
study. The questionnaire was designed to obtain demographic
data about the students and their intent or desire to pursue
careers in math and/or science fields. The questionnaire
addressed factors such as students' attitudes toward math and
science, students' career interests, students' use of home
computers, and parents' careers.
f")
Gender Differences in Math and Science
12
Procedures
All fifth and sixth grade students who attended one or
more Summer Institute courses completed the questionnaire,
which was administered by the researchers within the
Institute's regularly scheduled classses. Small groups of 10 to
20 students were given approximately 20 minutes to comply, _2
the questionnaire, following an explanation of its purpose.
Respondents were encouraged to ask questions regarding
directions and any parts of the questionnaire which they did
not understand clearly.
Data Analyses
The data from all subjects were entered into the Statview
statistical program for analysis. A correlation matrix was
calculated to determine if relationships existed among the
following variables: gender, first born, only child, mother's
career choice, father's career choice, child's interest in careers
involving math and/or science, desire to take more math
courses, desire to take more science courses, and computers in
the home. An artificial dichotomy was created for career
choice, with careers in math and science fields assigned to yes
and other career choices assigned to no. The correlation matrix
was also calculated separately for grade five, and again for
grade six.
13
Gender Differences in Math and Science
13
RESULTS
The compilation of responses from all students
demonstrated a significant (alpha = .05) relationship between
gender and students' desire to pursue careers involving math
and/or science (r=+.232), with males more frequently
indicating interest in math and/or science careers. The results
from all students also indicated the existence of a significant
relationship between students' interest in careers involving
math and/or science and their desire to take more science
courses (r=+.384). The same was not true of the desire to take
more math courses. Also insignificant was the relationship
between the respondents' career interests and their mothers'
and fathers' careers. Neither was a relationship demonstrated
between being a first born or only child and the respondents'
career interests, nor between a computer in the home and
career interests.
The results from the fifth grade students revealed a
significant (alpha = .05) relationship between students' interest
in careers involving math and/or science and their desire to
take more science courses (r=+.378). However, there was not a
significant relationship between students' interest in careers
involving math and/or science and their desire to take more
math courses. Neither was there a significant relationship
demonstrated between: gender and students' interest in
14
Gender Differences in Math and Science
14
careers involving math and/or science, respondents' career
interests and their mother and fathers' career choices, being a
first born or only child and the respondents' career interests,
nor between a computer in the home and career interests.
The results from the sixth grade students showed a
significant (alpha = .05) relationship between gender and
students' interest in careers involving math and/or science
(r=+.329). There also were significant relationships between
gender and a computer in the home (r=+.322), and between
students' interest in careers involving math and/or science and
their desire to take more science courses (r=+.465). However,
here again there was not a significant relationship between
students' interest in careers involving math and/or science and
their desire to take more math courses or between being a first
born or only child and career interests. In addition, the
relationship between the respondents' career interests and
their mother and fathers' career choices was not significant.
CONCLUSIONS AND RECOMMENDATIONS
Disaggregating the data by grade level revealed two
differences between the responses of the fifth and sixth grade
students who participated in this study. Fifth grade results
demonstrated no significant relationship between gender and
students' interest in careers involving math and/or science, in
contrast to results from the total sample. However, sixth grade
Gender Differences in Math and Science
15
results showed a significant (alpha = .05) relationship between
gender and students' interest in careers involving math and/or
science. Sixth grade results also indicated a significant
relationship between gender and a computer in the home (r =
+.322), a relationship which did not prove significant iri a
separate analysis of fifth grade results.
Summary
It appears from these data that the relationship between
gender and students' interest in careers involving math and/or
science may develop in the middle school years. No significant
relationship was present between these two variables in fifth
grade, but a significant relationship was apparent for sixth
grade students. A similar pattern was revealed for the
variable of computers in the home, where there was no
significant relationship with career interests at the fifth grade
level, but there was a significant relationship between
computers in the home and career interests at the sixth grade
level.
It also appears that, among students who indicate
interest in careers involving math and/or science, there is the
desire to take additional science courses, but not additional
math courses. Finally, the relationship between the
respondents' career interests and their mother and fathers'
career choices was not significant.
16
Gender Differences in Math and Science
16
Educational Significance
The key finding that separates this study's results from
the results of other studies lies in the fact that no significant
relationship was found between gender and fifth grade
students' interest in pursuing careers involving math and/or
science, although a significant relationship between these two
variables was demonstrated for sixth grade students. Such
results, when considered in light of what is known about the
tendency for girls' self-concept, and subsequently their
achievement, to drop during early adolescence, lead to the
conclusion that further study is warranted. Particular attention
needs to be paid to the possibility of pinpointing exactly when
the relationship between gender and students' interest in math
and/or science careers begins to develop.
Such knowledge would enable educators, parents, and
other adults who play roles in the development of emerging
adolescents to provide the support and opportunities which
may result in more girls acknowledging their math and science
abilities and, in turn, pursuing careers which match those
abilities. Parents and teachers can assign competence to girls,
as well as to boys, by communicating to them both verbally
and non-verbally that they are mathematically and
scientifically competent and capable of high achievement in
these areas.
_17
Gender Differences in Math and Science
17
Schools and colleges can offer a variety of math and
science courses which actively involve all students in the
learning process, regardless of gender. They can make clear
that they do not view certain courses and careers as female
options and other courses and careers as male options. Finally,
schools and colleges can encourage parents, students, and
teachers to view anatomy, geometry, physics, calculus,
architecture, computers, and other topics which feature
mathematical and scientific concepts as viable options for all
students--regardless of gender.
Recommendations for Further Study
The relationships found through this research suggest
that further study is warranted. First of all, it would seem
logical to replicate this study on a larger scale to determine if
the results would be similar and to focus on subjects that are
more representative of the general population in terms of
achievement and race. Secondly, it would be interesting to
explore the same variables in a follow-up study using the
original study's sample to determine if the gender differences
have increased, decreased, or remained the same. Finally, of
particular interest would be studies which attempt to uncover
the reasons for the differing results of fifth and sixth grade
respondents, with regard to gender and career interests.
16
Gender Differences in Math and Science
18
REFERENCES
The AAUW report: How schools shortchange girls. (1992).
Washington, D. C.: American Association of University
Women Educational Foundation.
Campbell, J. R., & Connolly, C. (1984). Impact of ethnicity on
math and science among the gifted. Paper presented at
the Annual Meeting of the American Educational
Research Association, New Orleans, LA.
Horn, L. (1990). Trends in high school math and science course
taking: Effects of gender and ethnicity. Paper presented
at the Annual Meeting of the American Educational
Research Association, Boston, MA.
How schools shortchange girls: Executive summary. (1992).
Washington, D. C.: American Association of University
Women Educational Foundation.
Lovely, R. (1987). Selection of undergraduate majors by high
ability students: Sex differences and the attrition of
science majors. Paper presented at the Annual Meeting
of the Association for the Study of Higher Education, San
Diego, CA.
MacCorquodale, P. (1984). Self-image, science and math: Does
the image of the "scientist" keep girls and minorities from
pursuing science and math? Paper presented at the
15
Gender Differences in Math and Science
19
Annual Meeting of the American Sociological Association,
San Antonio, TX.
McConeghy, J. I. (1987). Mathematics attitudes and
achievement: Gender differences in a multivariate
context. Paper presented at the Annual Meeting of the
American Educational Research Association, Washington,
D.C.
Navarro, C. (1989). Why do women have lower average SAT-
math scores than men? Paper presented at the Annual
Meeting of the American Educational Research
Association, San Francisco, CA.
Rallis, S. F., & Ahern, S. A. (1986). Math and science education
in high schools: A question of sex equity? Paper
presented at the Annual Meeting of the American
Educational Research Association, San Francisco, CA.
Tsuji, G., & Ziegler, S. (1990). What research says about
increasing the numbers of female students taking math
and science in secondary school. Ontario: Toronto Board
of Education Research Department.
Wilder, G., Mackie, D., & Cooper, J. (1985). Gender and
computers: Two surveys of computer-related attitudes.
Sex Roles, 13(3/4), 215-228.
20

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A Study Of Gender Differences In The Math And Science Career Interests Of Gifted Fifth And Sixth Graders

  • 1. DOCUMENT RESUME ED 379 811 EC 303 684 AUTHOR Jensen, Rita A,; McMullen, David TITLE A Study of Gender Differences in the Math and Science Career Interests of Gifted Fifth and Sixth Graders. PUB DATE Apr 95 NOTE 20p.; Paper presented at the Annual Meeting of the American Educational Research Association (New Orleans, LA, April 4-8, 1994). PUB TYPE Speeches/Conference Papers (150) Reports Research /Technical (143) EDRS PRICE MF01/PC01 Plus Postage. DESCRIPTORS *Age Differences; Career Choice; Elementary School Students; Enrichment Activities; Family Environment; *Gifted; Grade 5; Grade 6; Intermediate Grades; *Mathematics; *Sciences; *Sex Differences; *Student Attitudes; Student Development; Student Interests; Summer Programs IDENTIFIERS 'Access to Computers ABSTRACT This study explored relationships between gender and the math and science interests of fifth and sixth graders (N=105) who participated in a summer enrichment program for gifted students. A researcher-developed questionnaire was utilized to obtain demographic data about the students and their intent or desire to pursue careers in math and/or science fields. No significant relationship was identified at the fifth grade level between gender and students' interest in math/science careers. However, a significant relationship was apparent for sixth grade students. A similar pattern was revealed for the variable of computers in the home, finding no significant relationship between gender and a computer in the home at the fifth grade level, while finding such a relationship at the sixth grade level. The relationship between students' career interests and their mothers' and fathers' career choices was not significant. Among students who indicated interest in careers involving math and/or science, there was a desire to take additional science courses but not additional math courses. (Contains 11 references.) (n) *********************************************************************** Reproductions supplied by EDRS are the best that can be made from the original document. ***********************************************************************
  • 2. 00 rn UAL DEPARTMENT Of EDUCATIL Otbce of Educational andiron and Improvement EDUCATIONAL RESOURCES INFORMATION CENTER tERICI gus document has been reproduced AS received from the person or agenuatcon originating If O Minor changes have been made to improve reproduction quality Points ol laqeW Of opinionsststedin this docu- ment do not necessarily represent official OERI position or policy A Study of Gender Differences in the Math and Science Career Interests of Gifted Fifth and Sixth Graders Dr. Rita A. Jensen Assistant Professor Bradley University 208 Westlake Hall Peoria, IL 61625 (309) 677-3191 "PERMISSION TO REPRODUCE THIS MATERIAL HAS BEEN GRANTED BY TO THE EDUCATIONAL RESOURCES INFORMATION CENTER (ERIC) Dr. David McMullen Assistant Professor Bradley University 303 Westlake Hall Peoria, IL 61625 (309) 677-3204 Running head: GENDER DIFFERENCES IN MATH AND SCIENCE BEST COPY AVAILABLE
  • 3. Gender Differences in Math and Science 7 Abstract This study explored the relationships between gender and the math and science interests of fifth and sixth graders who participated in a summer enrichment program designed for gifted students. A researcher-developed questionnaire was utilised to obtain demographic data about the students and their intent or desire to pursue careers in math and/or science fields. No significant relationship was identified at the fifth grade level between gender and students' interest in careers involving math and/or science, but a significant relationship was apparent for sixth grade students. A similar pattern was revealed for the variable of computers in the home, where there was no significant relationship with career interests at the fifth grade level, but there was a significant relationship between computers in the home and career interests at the sixth grade level. 3
  • 4. Gender Differences in Math and Science 3 INTRODUCTION The much heralded 1992 American Association of University Women (AAUW) report, How Schools Shortchange Girls, presents a compilation of research which deals with the education and educational achievement of American females. The report states that, although gender differences in math achievement and spatial skills have declined somewhat, gender differences in science achievement are not decreasing, and may be increasing. Gender differences also exist in math confidence, and these differences correlate strongly with girls' continuation in math and science courses. Perhaps most notably, gender differences extend to career plans. Even girls who demonstrate exceptional academic preparation in science and math areas choose science and math careers in disproportionately low numbers. Theoretical Framework "The educational system is not meeting girls' needs. Girls and boys enter school roughly equal in measured ability. Twelve years later, girls have fallen behind their male classmates in key areas such as higher-level mathematics and measures of self-esteem" (How Schools Shortchange Girls, Executive Summary, 1992, p. 1). That is one of the conclusions drawn from the AAUW study regarding the education American girls receive. While conceding that the differences 4
  • 5. Gender Differences in Math and Science 4 between girls and boys in math achievement are small and declining, the report emphasizes that, in high school, girls are still less likely than boys to take the most advanced math courses and to be in the top-scoring math groups. Girls who view math as something males do perform less well in math than girls who do not hold this view. During the middle school years, girls' math confidence and math achievement decline- -the decline in confidence preceding the decline in achievement. Even girls highly competent in math and science are much less likely to pursue scientific or technological careers than are their male classmates (The AAUW Report: How Schools Shortchange Girls, 1992). As for science, boys tend to come to science classes with more out-of-school familiarity and experience with the subject matter. This advantage is furthered in classrooms where a majority of student-assisted science demonstrations are carried out by boys. Even when girls take advanced science and math courses and do well in them, they often do not receive the encouragement they need to pursue scientific careers, although it has been established that girls rate teacher support as an important factor in decisions to pursue scientific and technological careers (The AAUW Report: How Schools Shortchange Girls, 1992). 5
  • 6. Gender Differences in Math and Science Horn (1990) points out that, while young women seem to have narrowed the gender gap in terms of taking math and science courses, they still lag behind young men in terms of taking advanced math and science courses such as calculus and physics. A major purpose of attempting to reduce this gap is to ensure that females do not prematurely exclude themselves from career opportunities by virtue of not completing college and university prerequisite courses in high school. In recent years, the gender gap has decreased in professions such as finance and medicine, but it continues in areas such as scientific research and engineering (Tsuji & Ziegler, 1990). The science gender gap also appeared in a study conducted by Lovely. Results of that study indicate that females with strong science preparation were just as likely as males with strong science preparation to major in the natural sciences. The attrition rates of science majors also were similiar for both female and male students. However, women with weaker science preparNion were more likely to abandon the natural sciences as a major than were men with weaker science preparation (1987). As mentioned earlier, the self-concepts of females tend to decline as they approach adolescents. In a study which compared gender differences among Asian and Caucasian high school students who were enrolled in advanced math and 6
  • 7. Gender Differences in Math and Science 6 science courses, researchers found that both Asian and Caucasian females held less positive attitudes toward themselves than did the males who participated in the study. In addition, as a group, the Asian males held extremely negative stereotypes of the gifted females in their classes, and Caucasian males demonstrated negative perceptions of their gifted female classmates as well (Campbell & Connolly, 1984). In another study involving gender and ethnic background, results indicated a relationship between students' self-images and commonly held notions of what traits are necessary to be a scientist. Junior high and high school students who viewed themselves as intelligent, creative, self- confident, and independent demonstrated interest in science. Female respondents added competitiveness to the formula of what it takes to be a good scientist. Both gender and ethnic background were found significant in accounting for variation in how students assessed themselves and their abilities. Males and Caucasians were more likely than females and Mexican- Americans to view themselves as creative and intelligent and more likely to demonstrate more interest in science. However, Mexican-Americans reported more interest in taking math than Caucasians did (MacCorquodale, 1984). Navarro (1989) found, as the AAUW report (1992) reiterates, that men's SAT math scores tend to be higher than
  • 8. Gender Differences in Math and Science 7 women's SAT math scores. Navarro's analyses revealed that 25% of the difference between women and men's performance on the math portion of the SAT is attributable to differences between genders in terms of the number of years that physics, math, and computer science courses were taken. The disparity in the SAT scores of women and men is particularly interesting in light of the results of studies such as the one conducted by Rallis & Ahern (1986), who found that, at the high school level, girls take as many advanced math and science courses as boys and also receive higher grades in these courses than boys. Gender and computers were the focus of Wilder, Mackie, and Cooper's 1985 study. In a survey of more than 1,600 K-12 students, results indicated that both sexes view computers and video games as more male appropriate than female appropriate. In addition, both girls and boys reported that science and math are somewhat more male appropriate and are liked less and less as the years pass. Particularly noteworthy was a major downward trend in attitude toward math beginning with the eighth grade. Although responses from younger subjects consistently reveal that boys, rather than girls, are more likely to have access to home computers, in a follow-up study of ninth graders, Wilder, Mackie, and Cooper (1985) did not find that to be the case. While 35% of female respondents reported having 3
  • 9. Gender Differences in Math and Science 8 home computers, 30% of male respondents indicated they had access to home computers. While this study uncovered more positive attitudes toward the computer, gender differences in these attitudes were still evident. Females reported feeling comfortable with computers, but they felt significantly less comfortable compared to male respondents. Females also felt less well prepared to work with computers, although their experiences were not objectively different from those of their male counterparts. Gender is not necessarily the most important variable in explaining differences in math and science achievement. For example, McConeghy (1987) reported that, in analyses of high school students' math achievement, parents' education and students' race had the greatest influence on math achievement, and gender the least influence, of six significant independc-it variables identified. However, the fact remains zliati even when girls perform as well as, or better than, boys in the math and science areas, they do not perform as well on tests such as the SAT. Neither do they enter careers involving math and/or science to the extent that boys do. Consequently, gender, as it relates to students' math and science achievement, attitudes, and career interests, remains a variable deserving of further study. 9
  • 10. Gender Differences in Math and Science 9 Need for the Study As researchers, as well as teacher educators and advocates for providing appropriate educational opportunities that lead to the fullest possible development of 100% of the population, rather than just 48%, the authors of this paper were interested in determining to what extent emerging adolescents already have incorporated traditional gender role expectations into their academic choices and personal career aspirations. Building on the premise that girls' self-concepts, as well as their math and science achievement, suffer significantly during the emerging adolescent stage, the matter of pinpointing when this decline occurs becomes important. Certainly it is an issue significant to the study of students who have been identified for notable achievements, since the continuing development of their skills and abilities is imperative to students' continued success. Consequently, the study described here was undertaken as a small step toward achieving a better understanding of gender differences that may exist among middle school-aged gifted students, regarding their interest in math and science and careers involving math and/or science. Purpose of the Study This study focused on the math and science interests of fifth and sixth grade students. The specific questions posed by the study follow. 10
  • 11. Gender Differences in Math and Science 10 1. What is the relationship between gender and students' desire to take math and science courses? 2. What is the relationship between gender and students° interests in careers involving math and/or science? 3. What is the relationship between gender and home computers? 4. What is the relationship between being a fu-st-born or only child and interests in careers involving math and/or science? 5. What is the relationship between parents' careers and their children's interests in careers involving math and/or science? METHODOLOGY Subjects The subjects who participated in this study consisted of 105 students in grades five and six who attended one or more summer courses of the Bradley University Institute for Gifted and Talented Youth. Of this total, 55 students (29 male and 26 female) were in the fifth grade, 50 of the students (27 male and 23 female) were in the sixth grade, and almost all were Caucasian. Institute staff determine students' eligibility for the summer program based on objective measures (e.g., achievement test scores, IQtest scores, grades) and on 11.
  • 12. Gender Differences in Math and Science 11 professional judgment (e.g., teacher recomniendations, work samples). The process of identification is intended to be inclusive rather than exclusive, with a focus on students' strengths and what they do well, rather than an obsession with students' weaknesses and what they do not do well. In selecting students for the Summer Institute, program personnel consider these questions: "Will this student benefit from the courses offered by the Summer Institute?" and "Is this student described by the definition of gifted and talented children found in The Illinois School Code? Article 14-A of the state's code states: "Gifted and talented children in Illinois are identified as those children whose mental development is accelerated beyond the average or who have demonstrated a specific aptitude or talent...those with exceptional ability in academic subjects, high level though processes, divergent thinking, creativity in the arts." Materials A researcher-developed questionnaire was utilized in this study. The questionnaire was designed to obtain demographic data about the students and their intent or desire to pursue careers in math and/or science fields. The questionnaire addressed factors such as students' attitudes toward math and science, students' career interests, students' use of home computers, and parents' careers. f")
  • 13. Gender Differences in Math and Science 12 Procedures All fifth and sixth grade students who attended one or more Summer Institute courses completed the questionnaire, which was administered by the researchers within the Institute's regularly scheduled classses. Small groups of 10 to 20 students were given approximately 20 minutes to comply, _2 the questionnaire, following an explanation of its purpose. Respondents were encouraged to ask questions regarding directions and any parts of the questionnaire which they did not understand clearly. Data Analyses The data from all subjects were entered into the Statview statistical program for analysis. A correlation matrix was calculated to determine if relationships existed among the following variables: gender, first born, only child, mother's career choice, father's career choice, child's interest in careers involving math and/or science, desire to take more math courses, desire to take more science courses, and computers in the home. An artificial dichotomy was created for career choice, with careers in math and science fields assigned to yes and other career choices assigned to no. The correlation matrix was also calculated separately for grade five, and again for grade six. 13
  • 14. Gender Differences in Math and Science 13 RESULTS The compilation of responses from all students demonstrated a significant (alpha = .05) relationship between gender and students' desire to pursue careers involving math and/or science (r=+.232), with males more frequently indicating interest in math and/or science careers. The results from all students also indicated the existence of a significant relationship between students' interest in careers involving math and/or science and their desire to take more science courses (r=+.384). The same was not true of the desire to take more math courses. Also insignificant was the relationship between the respondents' career interests and their mothers' and fathers' careers. Neither was a relationship demonstrated between being a first born or only child and the respondents' career interests, nor between a computer in the home and career interests. The results from the fifth grade students revealed a significant (alpha = .05) relationship between students' interest in careers involving math and/or science and their desire to take more science courses (r=+.378). However, there was not a significant relationship between students' interest in careers involving math and/or science and their desire to take more math courses. Neither was there a significant relationship demonstrated between: gender and students' interest in 14
  • 15. Gender Differences in Math and Science 14 careers involving math and/or science, respondents' career interests and their mother and fathers' career choices, being a first born or only child and the respondents' career interests, nor between a computer in the home and career interests. The results from the sixth grade students showed a significant (alpha = .05) relationship between gender and students' interest in careers involving math and/or science (r=+.329). There also were significant relationships between gender and a computer in the home (r=+.322), and between students' interest in careers involving math and/or science and their desire to take more science courses (r=+.465). However, here again there was not a significant relationship between students' interest in careers involving math and/or science and their desire to take more math courses or between being a first born or only child and career interests. In addition, the relationship between the respondents' career interests and their mother and fathers' career choices was not significant. CONCLUSIONS AND RECOMMENDATIONS Disaggregating the data by grade level revealed two differences between the responses of the fifth and sixth grade students who participated in this study. Fifth grade results demonstrated no significant relationship between gender and students' interest in careers involving math and/or science, in contrast to results from the total sample. However, sixth grade
  • 16. Gender Differences in Math and Science 15 results showed a significant (alpha = .05) relationship between gender and students' interest in careers involving math and/or science. Sixth grade results also indicated a significant relationship between gender and a computer in the home (r = +.322), a relationship which did not prove significant iri a separate analysis of fifth grade results. Summary It appears from these data that the relationship between gender and students' interest in careers involving math and/or science may develop in the middle school years. No significant relationship was present between these two variables in fifth grade, but a significant relationship was apparent for sixth grade students. A similar pattern was revealed for the variable of computers in the home, where there was no significant relationship with career interests at the fifth grade level, but there was a significant relationship between computers in the home and career interests at the sixth grade level. It also appears that, among students who indicate interest in careers involving math and/or science, there is the desire to take additional science courses, but not additional math courses. Finally, the relationship between the respondents' career interests and their mother and fathers' career choices was not significant. 16
  • 17. Gender Differences in Math and Science 16 Educational Significance The key finding that separates this study's results from the results of other studies lies in the fact that no significant relationship was found between gender and fifth grade students' interest in pursuing careers involving math and/or science, although a significant relationship between these two variables was demonstrated for sixth grade students. Such results, when considered in light of what is known about the tendency for girls' self-concept, and subsequently their achievement, to drop during early adolescence, lead to the conclusion that further study is warranted. Particular attention needs to be paid to the possibility of pinpointing exactly when the relationship between gender and students' interest in math and/or science careers begins to develop. Such knowledge would enable educators, parents, and other adults who play roles in the development of emerging adolescents to provide the support and opportunities which may result in more girls acknowledging their math and science abilities and, in turn, pursuing careers which match those abilities. Parents and teachers can assign competence to girls, as well as to boys, by communicating to them both verbally and non-verbally that they are mathematically and scientifically competent and capable of high achievement in these areas. _17
  • 18. Gender Differences in Math and Science 17 Schools and colleges can offer a variety of math and science courses which actively involve all students in the learning process, regardless of gender. They can make clear that they do not view certain courses and careers as female options and other courses and careers as male options. Finally, schools and colleges can encourage parents, students, and teachers to view anatomy, geometry, physics, calculus, architecture, computers, and other topics which feature mathematical and scientific concepts as viable options for all students--regardless of gender. Recommendations for Further Study The relationships found through this research suggest that further study is warranted. First of all, it would seem logical to replicate this study on a larger scale to determine if the results would be similar and to focus on subjects that are more representative of the general population in terms of achievement and race. Secondly, it would be interesting to explore the same variables in a follow-up study using the original study's sample to determine if the gender differences have increased, decreased, or remained the same. Finally, of particular interest would be studies which attempt to uncover the reasons for the differing results of fifth and sixth grade respondents, with regard to gender and career interests. 16
  • 19. Gender Differences in Math and Science 18 REFERENCES The AAUW report: How schools shortchange girls. (1992). Washington, D. C.: American Association of University Women Educational Foundation. Campbell, J. R., & Connolly, C. (1984). Impact of ethnicity on math and science among the gifted. Paper presented at the Annual Meeting of the American Educational Research Association, New Orleans, LA. Horn, L. (1990). Trends in high school math and science course taking: Effects of gender and ethnicity. Paper presented at the Annual Meeting of the American Educational Research Association, Boston, MA. How schools shortchange girls: Executive summary. (1992). Washington, D. C.: American Association of University Women Educational Foundation. Lovely, R. (1987). Selection of undergraduate majors by high ability students: Sex differences and the attrition of science majors. Paper presented at the Annual Meeting of the Association for the Study of Higher Education, San Diego, CA. MacCorquodale, P. (1984). Self-image, science and math: Does the image of the "scientist" keep girls and minorities from pursuing science and math? Paper presented at the 15
  • 20. Gender Differences in Math and Science 19 Annual Meeting of the American Sociological Association, San Antonio, TX. McConeghy, J. I. (1987). Mathematics attitudes and achievement: Gender differences in a multivariate context. Paper presented at the Annual Meeting of the American Educational Research Association, Washington, D.C. Navarro, C. (1989). Why do women have lower average SAT- math scores than men? Paper presented at the Annual Meeting of the American Educational Research Association, San Francisco, CA. Rallis, S. F., & Ahern, S. A. (1986). Math and science education in high schools: A question of sex equity? Paper presented at the Annual Meeting of the American Educational Research Association, San Francisco, CA. Tsuji, G., & Ziegler, S. (1990). What research says about increasing the numbers of female students taking math and science in secondary school. Ontario: Toronto Board of Education Research Department. Wilder, G., Mackie, D., & Cooper, J. (1985). Gender and computers: Two surveys of computer-related attitudes. Sex Roles, 13(3/4), 215-228. 20