Perceived Peer Exclusion as Predictor of Students' Help-Seeking Strategies in Higher Education: Differences by Gender and University Major

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Original languageEnglish
Pages (from-to)27-41
Number of pages15
JournalZeitschrift fur Entwicklungspsychologie und Padagogische Psychologie
Volume53
Issue number1-2
Publication statusPublished - Jan 2021

Abstract

Feeling excluded by fellow students may be associated with lower levels of adaptive help-seeking. In a cross-sectional study, we compared self-reported help-seeking strategies (autonomy-oriented, dependency-oriented, help-seeking avoidance) among N = 418 students in 25 seminar and tutorial groups in the undergraduate introductory courses of two subject domains: computer science and education. Analyses showed that, overall, students reported lower autonomy-oriented help-seeking and higher help-seeking avoidance in computer science than in education. In computer science, perceived peer exclusion predicted more help-seeking avoidance among both male and female students and less autonomy-oriented help-seeking among females. In education, however, perceived peer exclusion was a significant predictor of both male and female students' lower autonomy-oriented help-seeking. Results suggest that, in computer science, help-seeking appears to have an "image problem" signaling competence-related inferiority rather than being a form of effective selfregulated learning. Implications for enhancing adaptive help exchange cultures in computer science are discussed.

Keywords

    computer science, education, help-seeking, higher education, social and academic exclusion

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abstract = "Feeling excluded by fellow students may be associated with lower levels of adaptive help-seeking. In a cross-sectional study, we compared self-reported help-seeking strategies (autonomy-oriented, dependency-oriented, help-seeking avoidance) among N = 418 students in 25 seminar and tutorial groups in the undergraduate introductory courses of two subject domains: computer science and education. Analyses showed that, overall, students reported lower autonomy-oriented help-seeking and higher help-seeking avoidance in computer science than in education. In computer science, perceived peer exclusion predicted more help-seeking avoidance among both male and female students and less autonomy-oriented help-seeking among females. In education, however, perceived peer exclusion was a significant predictor of both male and female students' lower autonomy-oriented help-seeking. Results suggest that, in computer science, help-seeking appears to have an {"}image problem{"} signaling competence-related inferiority rather than being a form of effective selfregulated learning. Implications for enhancing adaptive help exchange cultures in computer science are discussed.",
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T1 - Perceived Peer Exclusion as Predictor of Students' Help-Seeking Strategies in Higher Education

T2 - Differences by Gender and University Major

AU - Zander, Lysann

AU - Höhne, Elisabeth

PY - 2021/1

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N2 - Feeling excluded by fellow students may be associated with lower levels of adaptive help-seeking. In a cross-sectional study, we compared self-reported help-seeking strategies (autonomy-oriented, dependency-oriented, help-seeking avoidance) among N = 418 students in 25 seminar and tutorial groups in the undergraduate introductory courses of two subject domains: computer science and education. Analyses showed that, overall, students reported lower autonomy-oriented help-seeking and higher help-seeking avoidance in computer science than in education. In computer science, perceived peer exclusion predicted more help-seeking avoidance among both male and female students and less autonomy-oriented help-seeking among females. In education, however, perceived peer exclusion was a significant predictor of both male and female students' lower autonomy-oriented help-seeking. Results suggest that, in computer science, help-seeking appears to have an "image problem" signaling competence-related inferiority rather than being a form of effective selfregulated learning. Implications for enhancing adaptive help exchange cultures in computer science are discussed.

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