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Autor/inn/enYen, Ng Lee; Bakar, Kamariah Abu; Roslan, Samsilah; Luan, Wong Su; Abd Rahman, Petri Zabariah Mega
TitelPredictors of Self-Regulated Learning in Malaysian Smart Schools
QuelleIn: International Education Journal, 6 (2005) 3, S.343-353 (11 Seiten)Infoseite zur Zeitschrift
PDF als Volltext (1); PDF als Volltext kostenfreie Datei (2) Verfügbarkeit 
Spracheenglisch
Dokumenttypgedruckt; online; Zeitschriftenaufsatz
ISSN1443-1475
SchlagwörterSurveys; Student Motivation; Multiple Regression Analysis; Information Literacy; Self Management; Correlation; Information Technology; Predictor Variables; Teacher Student Relationship; Metacognition; Foreign Countries; Technology Integration; Teaching Methods; Measures (Individuals); Secondary School Students; Malaysia
AbstractThis study sought to uncover the predictors of self-regulated learning in Malaysian smart schools. The sample consisted of 409 students, from six randomly chosen smart schools. A quantitative correlational research design was employed and the data were collected through survey method. Six factors were examined in relation to the predictors of self-regulated learning. These factors were levels of IT-integration, student-teacher interactions, motivational beliefs, self-regulative knowledge, information literacy, and attitudes towards IT. Multiple regression analysis showed that levels of IT-integration, student-teacher interactions, motivational beliefs, and self-regulative knowledge significantly predict self-regulated learning in Malaysian smart schools. (Contains 2 tables.) (As Provided).
AnmerkungenShannon Research Press. Available from: Australian and New Zealand Comparative and International Education Society. ANZCIES Secretariat, Curtin University, Box U1987, Perth, WA Australia. Tel: +61-8-9266-7106; Fax: +61-8-9266-3222; e-mail: editor@iejcomparative.org; Web site: http://www.iejcomparative.org
Erfasst vonERIC (Education Resources Information Center), Washington, DC
Update2017/4/10
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