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<p>This study explores the relationship between psychological characteristics and dropout, and also assesses the various group specific problems of computer science (CS) students in a large public university in Europe. In order to reduce attrition through developing a relevant retention policy, a comprehensive group specific analysis of academic and psychological characteristics was necessary. Using different psychological measures and students’ academic performance allowed us to conduct a cluster analysis to find different patterns among the students’ group. Results indicated six different cluster groups, two of which were described as dropping out students. University leavers had low scores in the Big 5 personality traits (TIPI), EPQR-A, GRIT, coping strategies (PICI), and occupational identity; however, they showed high scores in bravery (VIA-S). An important outcome of this study was the existence of different psychological characteristics which can help to develop interventions. Finally, implications and recommendations for future research are suggested.</p>

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Profiling computer science students through their performance and psychological characteristics using cluster analysis

  • 期刊论文

  • 发表日期：

    2025年12月1日

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  • Rita Takács,
  • Judit T. Kárász,
  • Szabolcs Takács,
  • Zoltán Horváth,
  • Attila Oláh

摘要

This study explores the relationship between psychological characteristics and dropout, and also assesses the various group specific problems of computer science (CS) students in a large public university in Europe. In order to reduce attrition through developing a relevant retention policy, a comprehensive group specific analysis of academic and psychological characteristics was necessary. Using different psychological measures and students’ academic performance allowed us to conduct a cluster analysis to find different patterns among the students’ group. Results indicated six different cluster groups, two of which were described as dropping out students. University leavers had low scores in the Big 5 personality traits (TIPI), EPQR-A, GRIT, coping strategies (PICI), and occupational identity; however, they showed high scores in bravery (VIA-S). An important outcome of this study was the existence of different psychological characteristics which can help to develop interventions. Finally, implications and recommendations for future research are suggested.