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Information Journal Paper

Title

PREDICTING HOMEWORK TIME MANAGEMENT SKILLS BASED ON COOPER’S MODEL IN FIRST HIGH SCHOOL FEMALE STUDENTS IN TABRIZ

Pages

  17-24

Abstract

 The TIME MANAGEMENT is one of the skills needed for academic success of students. This is one of the components of self-regulated learning skills of students. This research was conducted to study the predictive role of various variables of Cooper’s model in prediction of homework TIME MANAGEMENT skills.400 female secondary school students were selected from districts of Tabriz Office of Education with multi-stage cluster random sampling method. Data were gathered through Teacher FEEDBACK Scale, Reasons for Doing Homework Questionnaire, ARRANGING THE ENVIRONMENT Scale, and Homework TIME MANAGEMENT Scale. Data was analyzed by multiple regression method in SPSS software. The results showed that ARRANGING THE ENVIRONMENT, Teacher FEEDBACK, and Learning-oriented reasons were important predictive factors of homework TIME MANAGEMENT skills of students. In addition, it was found that 26% of the variance of homework TIME MANAGEMENT skills accounted by these variables. The findings can be used to guide school students.

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    APA: Copy

    BADRI G., R., MANSOORI, P., & FARAJIAN, F.. (2016). PREDICTING HOMEWORK TIME MANAGEMENT SKILLS BASED ON COOPER’S MODEL IN FIRST HIGH SCHOOL FEMALE STUDENTS IN TABRIZ. JOURNAL OF RESEARCH IN SCHOOL AND VIRTUAL LEARNING, 3(11 ), 17-24. SID. https://sid.ir/paper/262978/en

    Vancouver: Copy

    BADRI G. R., MANSOORI P., FARAJIAN F.. PREDICTING HOMEWORK TIME MANAGEMENT SKILLS BASED ON COOPER’S MODEL IN FIRST HIGH SCHOOL FEMALE STUDENTS IN TABRIZ. JOURNAL OF RESEARCH IN SCHOOL AND VIRTUAL LEARNING[Internet]. 2016;3(11 ):17-24. Available from: https://sid.ir/paper/262978/en

    IEEE: Copy

    R. BADRI G., P. MANSOORI, and F. FARAJIAN, “PREDICTING HOMEWORK TIME MANAGEMENT SKILLS BASED ON COOPER’S MODEL IN FIRST HIGH SCHOOL FEMALE STUDENTS IN TABRIZ,” JOURNAL OF RESEARCH IN SCHOOL AND VIRTUAL LEARNING, vol. 3, no. 11 , pp. 17–24, 2016, [Online]. Available: https://sid.ir/paper/262978/en

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