Learning Analytics and Educational Data Mining in Practice: A Systematic Literature Review of Empirical Evidence

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Learning Analytics for Learning Design: A Systematic Literature Review of Analytics-Driven Design to Enhance Learning (2019, methodology): “Despite the limitations of the selected methodology, it is a well-accepted and widely used literature review method [9], [18] in TEL providing certain assurance of the results.”
A systematic literature review of personalized learning terms (2020, background): “…of significant data capabilities in education: Educational Data Mining (EDM) and Learning Analytics (LA) and their respective communities (Papamitsiou and Economides, 2014) which seems to adding another perspective to personalized learning and make it easier modify the learning according…”
Fairness in Machine Learning (2020, background): “…serious implications for individuals and society, including ﬁnancial lending [20, 120], hiring [17, 77], online advertising [72, 150], pretrial and immigration detention [10, 158], child maltreatment screening [30, 171], health care [40, 105], social services [4, 48], and education [140, 143, 144].”
Utilising learning analytics to support study success in higher education: a systematic review (2020, background): “…as on policy recommendations for learning analytics (Ferguson et al. 2016), identification of learning analytics research objectives and challenges (Papamitsiou and Economides 2014), learning analytics in the context of distance education (Kilis and Gulbahar 2016), and more recently on the…”