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

Autor/inn/en	Halem, Nicolette van; Klaveren, Chris van; Drachsler, Hendrik; Schmitz, Marcel; Cornelisz, Ilja
Titel	Tracking patterns in self-regulated learning using students' self-reports and online trace data.
Quelle	In: Frontline Learning Research, 8 (2020) 3, S. 140-163Infoseite zur Zeitschrift PDF als Volltext kostenfreie Datei Link als defekt meldenVerfügbarkeit
Sprache	englisch
Dokumenttyp	online; Zeitschriftenaufsatz
ISSN	2295-3159
DOI	10.14786/flr.v8i3.497
Schlagwörter	Methode; Verhaltensmuster; Selbstbeobachtung; Lernen; Lernverhalten; Motivation; Komplementarität; Varianz; Messung; E-Learning; Daten; Ereignis; Strategie; Student; Online
Abstract	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.).
Erfasst von	DIPF \| Leibniz-Institut für Bildungsforschung und Bildungsinformation, Frankfurt am Main
Update	2021/1