How learning analytics can early predict under-achieving students in a blended medical education course

The Effectiveness of Blended Learning in Health Professions: Systematic Review and Meta-Analysis

(2016) Qian Liu et al.   JOURNAL OF MEDICAL INTERNET RESEARCH

Predicting performance: relative importance of students’ background and past performance

(2015) Karen M Stegers-Jager et al.   MEDICAL EDUCATION

Contemporary and future eLearning trends in medical education

(2014) Iain Doherty et al.   MEDICAL TEACHER

Developing the role of big data and analytics in health professional education

(2014) Rachel H. Ellaway et al.   MEDICAL TEACHER

Factors associated with dropout in medical education: a literature review

(2011) Lotte Dyhrberg O’Neill et al.   MEDICAL EDUCATION

Mining LMS data to develop an “early warning system” for educators: A proof of concept

(2009) Leah P. Macfadyen et al.   COMPUTERS & EDUCATION

AMEE Guide 32: e-Learning in medical education Part 1: Learning, teaching and assessment

(2008) Rachel Ellaway et al.   MEDICAL TEACHER

“Hits” (not “Discussion Posts”) predict student success in online courses: A double cross-validation study

(2007) Cheryl Ramos et al.   COMPUTERS & EDUCATION