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Autor/inn/enMontgomery, Amanda P.; Mousavi, Amin; Carbonaro, Michael; Hayward, Denyse V.; Dunn, William
TitelUsing Learning Analytics to Explore Self-Regulated Learning in Flipped Blended Learning Music Teacher Education
QuelleIn: British Journal of Educational Technology, 50 (2019) 1, S.114-127 (14 Seiten)Infoseite zur Zeitschrift
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ZusatzinformationORCID (Montgomery, Amanda P.)
Spracheenglisch
Dokumenttypgedruckt; online; Zeitschriftenaufsatz
ISSN0007-1013
DOI10.1111/bjet.12590
SchlagwörterBlended Learning; Educational Technology; Higher Education; Undergraduate Students; Self Management; Music Teachers; Teacher Education Programs; Student Behavior; Integrated Learning Systems; Correlation; Academic Achievement; Predictor Variables; Educational Research; Data Collection; Data Analysis
AbstractBlended learning (BL) is a popular e-Learning model in higher education that has the potential to take advantage of learning analytics (LA) to support student learning. This study utilized LA to investigate fourth-year undergraduates' (n = 157) use of self-regulated learning (SRL) within the online components of a previously unexamined BL discipline, Music Teacher Education. SRL behaviors were captured unobtrusively in real time through students' interaction with course materials in Moodle. Categorized by function: (1) "activating"--online access location, day-of-the-week, time-of-day; (2) "sustaining"--online frequency; and (3) "structuring"--online regularity and exam review patterns, all six SRL behaviors were revealed to have weak to moderate significant relationships with academic achievement. Results indicated access day-of-the-week and access frequency as the strongest predictors for student success. Findings regarding access regularity when viewed through results from previous SRL-LA research may suggest the importance of this SRL behavior for successful students within several BL discipline areas. In addition, the role of learning design (eg, flipped instruction) in potentially scaffolding students' choices toward specific SRL behaviors, was revealed as an important context for future researchers' consideration. (As Provided).
AnmerkungenWiley-Blackwell. 350 Main Street, Malden, MA 02148. Tel: 800-835-6770; Tel: 781-388-8598; Fax: 781-388-8232; e-mail: cs-journals@wiley.com; Web site: http://www.wiley.com/WileyCDA
Erfasst vonERIC (Education Resources Information Center), Washington, DC
Update2020/1/01
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