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Tapping into Early PhD Aspirations to Advance Gender Equity in Computing: Predicting PhD Interest among Upward Transfer Students

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Title: Tapping into Early PhD Aspirations to Advance Gender Equity in Computing: Predicting PhD Interest among Upward Transfer Students
Language: English
Authors: Jennifer M. Blaney, David F. Feldon, Kaylee Litson
Source: Studies in Graduate and Postdoctoral Education. 2024 15(3):240-257.
Availability: Emerald Publishing Limited. Howard House, Wagon Lane, Bingley, West Yorkshire, BD16 1WA, UK. Tel: +44-1274-777700; Fax: +44-1274-785201; e-mail: emerald@emeraldinsight.com; Web site: http://www.emerald.com/insight
Peer Reviewed: Y
Page Count: 18
Publication Date: 2024
Sponsoring Agency: National Science Foundation (NSF)
Contract Number: 2044858
Document Type: Journal Articles
Reports - Research
Education Level: Higher Education
Postsecondary Education
Two Year Colleges
Descriptors: Community College Students, College Transfer Students, STEM Education, Doctoral Programs, Student Interests, Prediction, Computer Science, Academic Aspiration, Knowledge Level, Information Dissemination, Sex Fairness
Geographic Terms: California
DOI: 10.1108/SGPE-06-2023-0057
ISSN: 2398-4686
Abstract: Purpose: Supporting community college transfer students represents a critical strategy for broadening participation in STEM. In addition to being a racially diverse group, students who pursue STEM degrees by way of community college report frequent interests in graduate study and academic careers. Thus, supporting and expanding transfer students' PhD interests can help to diversify the STEM professoriate. This study aims to identify the experiences that predict PhD interests among students who transferred into the computer science major from a community college. Design/methodology/approach: Relying on longitudinal survey data from over 150 community college transfer students throughout their first year at their receiving four-year university, we used regression analysis to identify the post-transfer college experiences that predict early interest in PhDs. Findings: We found that receiving information about PhDs from a professor strongly predicted PhD interest among transfer students. Relationships with other variables indicate that the provision of information about graduate school was more likely to occur for students who participated in undergraduate research experiences than for those participating in internships. Descriptive data document inequities in who has access to these types of experiences. Originality/value: This paper provides new insight into how STEM departments can develop targeted efforts to ensure that information about PhD training is equitably available to all transfer students. Working to ensure that faculty equitably communicate with students about PhD opportunities may go a long way in countering potential deterrents among transfer students who may be interested in such pathways.
Abstractor: As Provided
Entry Date: 2024
Accession Number: EJ1436780
Database: ERIC
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  Data: Tapping into Early PhD Aspirations to Advance Gender Equity in Computing: Predicting PhD Interest among Upward Transfer Students
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  Data: <searchLink fieldCode="SO" term="%22Studies+in+Graduate+and+Postdoctoral+Education%22"><i>Studies in Graduate and Postdoctoral Education</i></searchLink>. 2024 15(3):240-257.
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  Data: Emerald Publishing Limited. Howard House, Wagon Lane, Bingley, West Yorkshire, BD16 1WA, UK. Tel: +44-1274-777700; Fax: +44-1274-785201; e-mail: emerald@emeraldinsight.com; Web site: http://www.emerald.com/insight
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  Data: Y
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  Data: 18
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  Data: 2024
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  Data: National Science Foundation (NSF)
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  Data: <searchLink fieldCode="DE" term="%22California%22">California</searchLink>
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  Data: 10.1108/SGPE-06-2023-0057
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  Data: 2398-4686
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Purpose: Supporting community college transfer students represents a critical strategy for broadening participation in STEM. In addition to being a racially diverse group, students who pursue STEM degrees by way of community college report frequent interests in graduate study and academic careers. Thus, supporting and expanding transfer students' PhD interests can help to diversify the STEM professoriate. This study aims to identify the experiences that predict PhD interests among students who transferred into the computer science major from a community college. Design/methodology/approach: Relying on longitudinal survey data from over 150 community college transfer students throughout their first year at their receiving four-year university, we used regression analysis to identify the post-transfer college experiences that predict early interest in PhDs. Findings: We found that receiving information about PhDs from a professor strongly predicted PhD interest among transfer students. Relationships with other variables indicate that the provision of information about graduate school was more likely to occur for students who participated in undergraduate research experiences than for those participating in internships. Descriptive data document inequities in who has access to these types of experiences. Originality/value: This paper provides new insight into how STEM departments can develop targeted efforts to ensure that information about PhD training is equitably available to all transfer students. Working to ensure that faculty equitably communicate with students about PhD opportunities may go a long way in countering potential deterrents among transfer students who may be interested in such pathways.
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        Value: 10.1108/SGPE-06-2023-0057
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      – Text: English
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        PageCount: 18
        StartPage: 240
    Subjects:
      – SubjectFull: Community College Students
        Type: general
      – SubjectFull: College Transfer Students
        Type: general
      – SubjectFull: STEM Education
        Type: general
      – SubjectFull: Doctoral Programs
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      – SubjectFull: Student Interests
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      – SubjectFull: Prediction
        Type: general
      – SubjectFull: Computer Science
        Type: general
      – SubjectFull: Academic Aspiration
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      – SubjectFull: Knowledge Level
        Type: general
      – SubjectFull: Information Dissemination
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      – SubjectFull: Sex Fairness
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      – SubjectFull: California
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      – TitleFull: Tapping into Early PhD Aspirations to Advance Gender Equity in Computing: Predicting PhD Interest among Upward Transfer Students
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