Using learning analytics to explore self‐regulated learning in flipped blended learning music teacher education
Blended 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 on...
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| Veröffentlicht in: | British journal of educational technology 2019-01, Vol.50 (1), p.114-127 |
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| container_title | British journal of educational technology |
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| creator | Montgomery, Amanda P. Mousavi, Amin Carbonaro, Michael Hayward, Denyse V. Dunn, William |
| description | Blended 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. |
| doi_str_mv | 10.1111/bjet.12590 |
| format | Article |
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| language | eng |
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| source | EBSCOhost Education Source; Wiley Online Library All Journals |
| subjects | Academic Achievement Blended Learning Correlation Data Analysis Data Collection Distance learning Education Educational Research Educational Technology Flipped classroom Higher Education Integrated Learning Systems Learning Learning Analytics Materials selection Music Teachers Predictor Variables Regularity Scaffolding Self Management Student Behavior Students Teacher education Teacher Education Programs Teachers Undergraduate Students |
| title | Using learning analytics to explore self‐regulated learning in flipped blended learning music teacher education |
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