作者: Eitel J. M. Lauría , Erik W. Moody , Sandeep M. Jayaprakash , Nagamani Jonnalagadda , Joshua D. Baron
关键词: Knowledge management 、 Early detection 、 Academic analytics 、 Software portability 、 Analytics 、 Psychological intervention 、 Research findings 、 Work (electrical) 、 Learning analytics 、 Computer science
摘要: This paper describes the results on research work performed by Open Academic Analytics Initiative, an on-going project aimed at developing early detection system of college students academic risk, using data mining models trained student personal and demographic data, as well course management data. We report initial findings predictive performance those models, their portability across pilot programs in different institutions interventions applied pilots.