首页 | 本学科首页   官方微博 | 高级检索  
     检索      


Cross‐Validated Prediction of Academic Performance of First‐Year University Students: Identifying Risk Factors in a Nonselective Environment
Authors:Eline Meijer  Marc P H D Cleiren  Elise Dusseldorp  Vincent J C Buurman  Roel M Hogervorst  Willem J Heiser
Abstract:Early prediction of academic performance is important for student support. The authors explored, in a multivariate approach, whether pre‐entry data (e.g., high school study results, preparative activities, expectations, capabilities, motivation, and attitude) could predict university students’ first‐year academic performance. Preregistered applicants for a bachelor's program filled out an intake questionnaire before study entry. Outcome data (first‐year grade point average, course credits, and attrition) were obtained 1 year later. Prediction accuracy was assessed by cross‐validation. Students who performed better in preparatory education, followed a conventional educational path before entering, and expected to spend more time on a program‐related organization performed better during their first year at university. Concrete preuniversity behaviors were more predictive than psychological attributions such as self‐efficacy. Students with a “love of learning” performed better than leisure‐oriented students. The intake questionnaire may be used for identifying up front who may need additional support, but is not suitable for student selection.
Keywords:academic performance  attrition  course credits  grade point average  university students
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号