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Predictors of Self-Regulated Learning in Malaysian Smart Schools
ARTICLE

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International Education Journal Volume 6, Number 3, ISSN 1443-1475

Abstract

This 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.)

Citation

Yen, N.L., Bakar, K.A., Roslan, S., Luan, W.S. & Abd Rahman, P.Z.M. (2005). Predictors of Self-Regulated Learning in Malaysian Smart Schools. International Education Journal, 6(3), 343-353. Retrieved February 21, 2019 from .

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