Exploring Online Students' Self-Regulated Learning with Self-Reported Surveys and Log Files: A Data Mining Approach

Autor/inn/en	Cho, Moon-Heum; Yoo, Jin Soung
Titel	Exploring Online Students' Self-Regulated Learning with Self-Reported Surveys and Log Files: A Data Mining Approach
Quelle	In: Interactive Learning Environments, 25 (2017) 8, S.970-982 (13 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1049-4820
DOI	10.1080/10494820.2016.1232278
Schlagwörter	Online Courses; Self Management; Active Learning; Data Analysis; Student Records; Student Surveys; Evaluation Methods; Predictive Validity; Academic Achievement; Likert Scales; Database Management Systems; Technology Uses in Education; Learning Strategies; Questionnaires; College Students; Motivated Strategies for Learning Questionnaire + Suchen Sie Ihr Suchwort? Online course; Online-Kurs; Selbstmanagement; Aktives Lernen; Auswertung; Schülerakte; Schülerbefragung; Schulleistung; Likert-Skala; Datenbanksystem; Technology enhanced learning; Technology aided learning; Technologieunterstütztes Lernen; Learning methode; Learning techniques; Lernmethode; Lernstrategie; Fragebogen; Collegestudent
Abstract	Many researchers who are interested in studying students' online self-regulated learning (SRL) have heavily relied on self-reported surveys. Data mining is an alternative technique that can be used to discover students' SRL patterns from large data logs saved on a course management system. The purpose of this study was to identify students' online SRL patterns with the use of data mining techniques. We examined both self-reported self-regulation surveys and log files to predict online students' achievements and found using log files was more powerful in predicting students' achievements in an online course than self-reported survey data. Discussions to enhance teaching and learning practices with the use of data mining are provided. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01