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  • 标题:Tracking Patterns in Self-Regulated Learning Using Students’ Self-Reports and Online Trace Data
  • 本地全文:下载
  • 作者:Nicolette van Halem ; Chris van Klaveren ; Hendrik Drachsler
  • 期刊名称:Frontline Learning Research
  • 电子版ISSN:2295-3159
  • 出版年度:2020
  • 卷号:8
  • 期号:3
  • DOI:10.14786/flr.v8i3.497
  • 语种:English
  • 出版社:EARLI
  • 摘要: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.
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