Literaturnachweis - Detailanzeige
Autor/inn/en | Halem, Nicolette van; Klaveren, Chris van; Drachsler, Hendrik; Schmitz, Marcel; Cornelisz, Ilja |
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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 |
Sprache | englisch |
Dokumenttyp | online; Zeitschriftenaufsatz |
ISSN | 2295-3159 |
DOI | 10.14786/flr.v8i3.497 |
Schlagwörter | Methode; Verhaltensmuster; Selbstbeobachtung; Lernen; Messung; Methode; Motivation; Strategie; Student; Selbstbeobachtung; Varianz; Verhaltensmuster; Daten; Ereignis; Komplementarität; Lernverhalten; E-Learning; 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 |