Trace-Based Microanalytic Measurement of Self-Regulated Learning Processes

Autor/inn/en	Siadaty, Melody; Gaševic, Dragan; Hatala, Marek
Titel	Trace-Based Microanalytic Measurement of Self-Regulated Learning Processes
Quelle	In: Journal of Learning Analytics, 3 (2016) 1, S.183-220 (38 Seiten)Infoseite zur Zeitschrift PDF als Volltext kostenfreie Datei Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1929-7750
Schlagwörter	Metacognition; Learning Processes; Intervention; Technology Uses in Education; Data Analysis; Measurement Techniques; Scaffolding (Teaching Technique); Outcomes of Education; Research Methodology; Work Environment; Qualitative Research; Statistical Analysis; Data Collection; Information Systems + Suchen Sie Ihr Suchwort? Meta cognitive ability; Meta-cognition; Metakognitive Fähigkeit; Metakognition; Learning process; Lernprozess; Technology enhanced learning; Technology aided learning; Technologieunterstütztes Lernen; Auswertung; Messtechnik; Lernleistung; Schulerfolg; Research method; Forschungsmethode; Arbeitsmilieu; Qualitative Forschung; Statistische Analyse; Data capture; Datensammlung
Abstract	To keep pace with today's rapidly growing knowledge-driven society, productive self-regulation of one's learning processes are essential. We introduce and discuss a trace-based measurement protocol to measure the effects of scaffolding interventions on self-regulated learning (SRL) processes. It guides tracing of learners' actions in a learning environment on the fly and translates these data into indicators of engagement in SRL processes that reflect learners' use of scaffolding interventions and contingencies between those events. Graphs of users' learning actions in a learning environment are produced. Our trace-based protocol offers a new methodological approach to investigating SRL and new ways to examine factors that affect learners' use of self-regulatory processes in technology-enhanced learning environments. Our application of the protocol was described in a study about Learn-B, a learning environment for SRL in the workplace. The findings of the work presented in this paper indicate that future research can gain substantially by using learning analytics based on users' trace data and merging them with other quantitative and qualitative techniques for researching SRL beliefs and processes. (As Provided).
Anmerkungen	Society for Learning Analytics Research. 121 Pointe Marsan, Beaumont, AB T4X 0A2, Canada. Tel: +61-429-920-838; e-mail: info@solaresearch.org; Web site: http://learning-analytics.info/journals/index.php/JLA/
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01