Designing a Causal Model for Fostering Academic Engagement and Verification of its Effect on Educational Performance
Author(s) -
Molouk Khademi Ashkzari,
Salehe Piryaei,
Leila Kamelifar
Publication year - 2018
Publication title -
international journal of psychology
Language(s) - English
Resource type - Journals
eISSN - 2676-4326
pISSN - 2008-1251
DOI - 10.24200/ijpb.2018.58146
Subject(s) - psychology , structural equation modeling , academic achievement , metacognition , scale (ratio) , social psychology , student engagement , credence , psychosocial , perception , academic year , mathematics education , cognition , statistics , physics , mathematics , quantum mechanics , neuroscience , psychiatry
Academic engagement explains the extent to which learners identify with and value academic conclusions, and take part in academic and non-academic activities. The present study explores, quantitatively, a causal model of both psycho-social and motivational factors in academic engagement and their potential impacts on academic achievement outcome. The sample of this research consisted of 480 undergraduate students at Alzahra University, Tehran, Iran who were selected by stratified random sampling method. The instruments which used in this study were The Academic Success Inventory, Boekaerts’ Motivation control scale (1987), Kuhl's Action Control scale (ACS-90) (1994), Pintrich et al.'s Motivated Strategies for Learning Questionnaire (MSLQ) (1991), Schraw & Dennison's Metacognitive awareness inventory (MAI) (1994), Boekaerts' Intended/actual goals scale (1987), Zimbardo & Boyd's future time perception inventory (ZPTI) (1999), & Schaufeli, et al’s Academic Engagement scale (2002). Structural equation modeling (SEM) through AMOS-22 was used for data analysis. The results indicated that motivational control–emotional states & competencies, self-efficacy, metacognition, action control–initiative persistence & disengage persistence- had significant effects on academic engagement. Also academic engagement can affect academic performance mediating by learner's intended/actual goals and future time perception in the current model. There is credence then, from our point of view, that policymakers and educators should consider advancing conceptualized complex psychosocial-motivational models to verify.
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