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Halem, Nicolette van; Klaveren, Chris van; Drachsler, Hendrik; Schmitz, Marcel; Cornelisz, Ilja:

Tracking patterns in self-regulated learning using students' self-reports and online trace data

In: Frontline Learning Research, 8 (2020) 3 , 140-163

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3a. Beiträge in begutachteten Zeitschriften; Beitrag in Sonderheft

Selbstgesteuertes Lernen, Motivation, Lernen, Strategie, Selbstbeobachtung, Online, Lernverhalten, Verhaltensmuster, Daten, Komplementarität, Ereignis, Messung, Methode, Varianz, Student, E-Learning

For decades, self-report instruments - which rely heavily on students' perceptions and beliefs - have been the dominant way of measuring motivation and strategy use. An event-based measure based on online trace data arguably has the potential to remove analytical restrictions of self-report measures. The purpose of this study is therefore to triangulate constructs suggested in theory and measured using self-reported data with revealed online traces of learning behaviour. The results show that online trace data of learning behaviour are complementary to self-reports, as they explained a unique proportion of variance in student academic performance and reveal that self-reports explain more variance in online learning behaviour of prior weeks than variance in learning behaviour in succeeding weeks. Student motivation is, however, to a lesser extent captured with online trace data, likely because of its covert nature. In that respect, it is of importance to recognize the crucial role of self-reports in capturing student learning holistically. This manuscript is 'frontline' in the sense that event-based measurement methodologies using online trace data are relatively unexplored. The comparison with self-report data made in this manuscript sheds new light on the added value of innovative and traditional methods of measuring motivation and strategy use. (DIPF/Orig.)

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