Can we predict success from log data in VLEs? Classification of interactions for learning analytics and their relation with performance in VLE-supported F2F and online learning

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In search for the most informative data for feedback generation: Learning analytics in a data-rich context (2015, methodology): “Recent studies in learning analytics (Agudo-Peregrina et al., 2014; Author A, 2013a; Macfadyen & Dawson, 2010; Wolff et al., 2013) seem to indicate that adding LMS user behaviour to these models can substantially improve the explained variance of academic performance.”
Predicting Student Performance from LMS Data: A Comparison of 17 Blended Courses Using Moodle LMS (2017, methodology): “Total number of clicks [13], [17], [34], [37], [42] 4,989 605 630 Number of online sessions [10], [18], [29], [31], [32], [33], [35], [36], [39], [43], [44] 4,989 30.”