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Showing 2 results for Academic Motivation

Ramin Habibi-Kaleybar, Leila Gobadi,
Volume 7, Issue 41 (10-2020)
Abstract

The aim of this study was to investigate the mediating role of academic motivation in self-directed learning and academic vitality. The research method was descriptive-correlational (path analysis of structural equations). The statistical population included all students of Shahid Madani University of Azerbaijan in the academic year 2019-2020, whose number was 8000, of which 244 students (172 girls and 72 boys) were selected as a sample by multi-stage cluster sampling were examined. In the present study, self-directed learning questionnaires of Fisher et al. (2001), academic motivation of Leper et al. (2005) and academic vitality of Hossein Chari and Dehghanizadeh (2012) were used as data collection tools. Structural equation method and Emos software were used to analyze the data. The results of path analysis showed that in the proposed model, the assumed model fits with the research data. The direct effect of self-directed learning on academic motivation and the direct effect of academic motivation on academic vitality were both significant at the level (P <0.01). Also, the indirect effect of self-directed learning on academic vitality (P <0.05) was significant. Self-directed learning explains 0.26 percent of motivation changes and 0.16 percent of vitality variance. Therefore, paying attention to self-directed learning has an important role in students' academic motivation and academic vitality.

Phd Student Manouchehr Falah, Dr Ahmad Ghazanfari, Dr Maryam Charami, Dr Reza Ahmadi,
Volume 9, Issue 43 (12-2021)
Abstract

The aim of the present study was to investigate the mediating role of perceived competence in the relationship between perception of parental support and socio-economic status with s academic motivation of adolescent students. The research method was descriptive-correlational which was done by structural equation modeling. The statistical population of the study included all high school students in Yazd studying in the academic year 2020-2021. 421 of them were selected by multi-stage cluster sampling method. Measurement tools included Harter (1981) Academic Motivation Questionnaire, Perceived Social Support from Family Procidano & Heller (1983), and Self-Perception Profile for Children Harter (1989) and Socio-Economic Status Silwan (2007). The final model showed good fit. The results of showed that the perception of parental support indirectly and through the perception of competence had a significant effect on students' academic motivation. According to the research findings, increasing the perception of parental support in students can reduce their academic lack of motivation indirectly through perception of competence.


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