心理学
辍学(神经网络)
背景(考古学)
学业成绩
相关性(法律)
发展心理学
社会心理学
政治学
计算机科学
生物
机器学习
古生物学
法学
作者
Olena Kryshko,Jens Fleischer,Julia Waldeyer,Joachim Wirth,Detlev Leutner
标识
DOI:10.1016/j.lindif.2020.101912
摘要
Based on the framework of self-regulated learning, we conducted a cross-sectional and a longitudinal study with university undergraduates (N1 = 249; N2 = 210) to examine the associations of using different motivational regulation strategies and two important aspects of academic success: academic performance and dropout intention. According to the Motivational Regulation Model of Schwinger and Stiensmeier-Pelster (2012), we assumed that motivational regulation strategies will positively predict academic performance and negatively predict dropout intention via increased academic effort. Results of both studies largely supported our assumptions. Furthermore, the overall score of motivational regulation strategies and most specific strategies significantly predicted both examined aspects of academic success after controlling for high school GPA as their major traditional predictor. Thus, our findings replicate and extend previous research on the relevance of motivational regulation strategies in the context of higher education, by highlighting their significant contributions to improving academic performance and reducing dropout intention.
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