![]() This proportion is considered as moderate effect in affecting performance of AFL undergraduate students.Ībid, N., & Akhtar, M. The coefficient of determination R2 values predicting performance are 0.588 (R2 = 0.588), which means can explain 58.8% of variance in students’ performance. As a result, cognitive engagement demonstrated to be critical predictor that can moderately affect students’ performance on the use of virtual learning environment. ![]() The study indicated that the strongest predictor among the three factors of cognitive engagement is Self-Regulatory Strategy Use (SR), followed by Shallow Strategy Use (SSU) and Deep Strategy Use (DSU). The findings demonstrated positive correlation between cognitive engagement and student performance. In evaluating the correlation and factors of cognitive engagement that affect student performance, this study employed the Partial Least Square Structural Equation Modelling (PLS-SEM) and a conceptual model was designed. The using survey items adapted from Greene and Miller (1993) and data were collected from 216 Arabic Foreign Language (AFL) students. ![]() This study aims to examine the correlation between cognitive engagement and performance among undergraduate students in an online learning environment. It has been implemented by many Malaysian higher educational institutions. The virtual learning environment (VLEs) is becoming an essential instructional technology in this new era due to its effects and impacts on learning process. Kulliyah of Education, International Islamic University MalaysiaĬognitive Engagement, Learning Performance, Virtual Learning Environment (VLE), Arabic, Structural Equation Modeling (SEM) Abstract
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