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Anke Braunstein; Maximilian Krötz; Viola Deutscher; Jürgen Seifried – Empirical Research in Vocational Education and Training, 2024
Extensive research has focused on various dimensions of dropout reasons, yet it often overlooks the importance of considering different dropout directions in the analysis. Our cross-sectional study examines the association of factors of six dimensions of dropout reasons (learner, professional, company, school, activity, and context) with four…
Descriptors: Dropouts, Intention, Vocational Education, Influences
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Julia Hormuth; Marlene Ferencz; Jutta Heikkilä; Taija Ihamäki – Research in Comparative and International Education, 2025
Student academic success plays an important role in higher education institutions, as it is often used as a core measure of university performance. Internationally, there is an extensive literature on the predictors of academic success. In addition to intellectual variables, the effects of psychological factors have received increased attention.…
Descriptors: Self Efficacy, Personality Traits, Student Motivation, Predictor Variables
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Dorothea Glaesser; Christopher Holl; Julia Malinka; Laura McCullagh; Lydia Meissner; Nicole Syringa Harth; Maya Machunsky; Kristin Mitte – Social Psychology of Education: An International Journal, 2024
Disengagement is a concept that captures the gradual behavioral, affective, and cognitive distancing from school, and is thus an early indicator of students being at risk for dropout. Based on a social identity framework, we predicted that higher social identification with the class and a positive classroom climate would be associated with lower…
Descriptors: Learner Engagement, Social Environment, At Risk Students, Educational Environment
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Carmen Köhler; Johannes Hartig – Contemporary Educational Technology, 2024
Since ChatGPT-3.5 has been available to the public, the potentials and challenges regarding chatbot usage in education have been widely discussed. However, little evidence exists whether and for which purposes students even apply generative AI tools. The first main purpose of the present study was to develop and test scales that assess students'…
Descriptors: Artificial Intelligence, College Students, Natural Language Processing, Technology Uses in Education