Predictors of Self-Regulated Learning in Malaysian Smart Schools

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 we...

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Bibliographic Details
Published inInternational Education Journal Vol. 6; no. 3; pp. 343 - 353
Main Authors Yen, Ng Lee, Bakar, Kamariah Abu, Roslan, Samsilah, Luan, Wong Su, Abd Rahman, Petri Zabariah Mega
Format Journal Article
LanguageEnglish
Published Shannon Research Press 01.07.2005
Subjects
Correlation
Foreign Countries
Information Literacy
Information Technology
Malaysia
Measures (Individuals)
Metacognition
Multiple Regression Analysis
Predictor Variables
Secondary School Students
Self Management
Student Motivation
Surveys
Teacher Student Relationship
Teaching Methods
Technology Integration
Malaysia
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Summary: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.)
ISSN:1443-1475