Predicting student success in open and distance learning

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Student retention in distance education: are we failing our students? (2013, methodology): “9 Simpson (2013), United Kingdom Telephone calls plus motivational emails 18.”
Educational data mining and learning analytics for 21st century higher education: A review and synthesis (2019, unknown): “…Table II in Appendix), the use of statistical techniques in higher education have been widely associated with the prediction of 1) student success (Simpson, 2006), 2) self-regulated learning and online course achievement (You, 2016), 3) student motivation (Lonn et al., 2015), 4) students’…”