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Gender Disparities in AP Computer Science Exams: Analysis of Trends in Participation and top Achievement.

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Title: Gender Disparities in AP Computer Science Exams: Analysis of Trends in Participation and top Achievement.
Authors: Bahar, A. Kadir1 (AUTHOR) kbahar@uga.edu, Kaya, Erdogan2 (AUTHOR), Zhang, Xiaolu2 (AUTHOR)
Source: Journal of Advanced Academics. Nov2022, Vol. 33 Issue 4, p574-603. 30p. 3 Charts, 2 Graphs.
Subject Terms: *Gender inequality, *Computer science, *Student counselors, *Achievement, Trend analysis
Abstract: Using the test scores of more than 1,000,000 students who participated in the Advanced Placement Computer Science (AP CS) exams from 1997 to 2020, this study examined the direction and magnitude of the trends in gender disparity in participation and top achievement in advanced exams. The findings indicated that the male-to-female ratio (MFR) among AP Computer Science (CS) exam participants declined from 4.87 to 2.26 between 1997 and 2020. Similarly, the MFR among top scorers (students who scored 5 out of 5) in any type of AP CS exams declined rapidly, in favor of female students, from 8.00 to 2.14 during the same period. Possible implications of these findings for educators, particularly for AP CS teachers and school counselors, were also discussed in the context of the underrepresentation of females in computing fields. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Advanced Academics is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Education Research Complete
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  Data: Gender Disparities in AP Computer Science Exams: Analysis of Trends in Participation and top Achievement.
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  Data: <searchLink fieldCode="AR" term="%22Bahar%2C+A%2E+Kadir%22">Bahar, A. Kadir</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> kbahar@uga.edu</i><br /><searchLink fieldCode="AR" term="%22Kaya%2C+Erdogan%22">Kaya, Erdogan</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhang%2C+Xiaolu%22">Zhang, Xiaolu</searchLink><relatesTo>2</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Advanced+Academics%22">Journal of Advanced Academics</searchLink>. Nov2022, Vol. 33 Issue 4, p574-603. 30p. 3 Charts, 2 Graphs.
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  Data: *<searchLink fieldCode="DE" term="%22Gender+inequality%22">Gender inequality</searchLink><br />*<searchLink fieldCode="DE" term="%22Computer+science%22">Computer science</searchLink><br />*<searchLink fieldCode="DE" term="%22Student+counselors%22">Student counselors</searchLink><br />*<searchLink fieldCode="DE" term="%22Achievement%22">Achievement</searchLink><br /><searchLink fieldCode="DE" term="%22Trend+analysis%22">Trend analysis</searchLink>
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  Label: Abstract
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  Data: Using the test scores of more than 1,000,000 students who participated in the Advanced Placement Computer Science (AP CS) exams from 1997 to 2020, this study examined the direction and magnitude of the trends in gender disparity in participation and top achievement in advanced exams. The findings indicated that the male-to-female ratio (MFR) among AP Computer Science (CS) exam participants declined from 4.87 to 2.26 between 1997 and 2020. Similarly, the MFR among top scorers (students who scored 5 out of 5) in any type of AP CS exams declined rapidly, in favor of female students, from 8.00 to 2.14 during the same period. Possible implications of these findings for educators, particularly for AP CS teachers and school counselors, were also discussed in the context of the underrepresentation of females in computing fields. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Journal of Advanced Academics is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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      – SubjectFull: Computer science
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      – SubjectFull: Student counselors
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      – SubjectFull: Achievement
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              Text: Nov2022
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