EXAMINING THE IMPACT OF RESOURCE MANAGEMENT, SELF-EFFICACY, AND MOTIVATION ON DEEP LEARNING IN A VIRTUAL LEARNING ENVIRONMENT: A PLS-SEM APPROACH

Agnes Rono, Chrispinus Oroni

Abstract


This study explores the impact of resource management and motivation on deep learning outcomes within virtual learning environments among students from Technical and Vocational Education and Training (TVET) institutions in Kenya. Effective resource management and motivation are crucial factors that influence educational success, and understanding their effects on deep learning can enhance educational practices. Data was collected from 487 students through a structured survey administered via Survey Monkey, with a preliminary pilot test conducted to ensure the survey‘s clarity. The analysis involved exploratory factor analysis and Partial Least Squares structural equation modeling (PLS-SEM). The findings indicate that effective resource management has a significant positive impact on deep learning outcomes and student motivation. Specifically, motivation and resource management were both found to significantly affect deep learning, with motivation exhibiting the strongest direct influence. Resource management also positively impacts self-efficacy, which subsequently enhances deep learning. The model explained a substantial portion of the variance in deep learning, highlighting the complex interplay between these factors. Based on these results, it is recommended that educators focus on improving resource management by providing diverse and accessible learning tools and support systems. Additionally, motivational strategies should be implemented to engage students and foster their intrinsic interest in learning. Also, by integrating these findings into virtual learning frameworks, educational institutions can create environments that better support deep learning and improve student performance. Future research should consider exploring additional factors that influence deep learning and evaluating the effectiveness of specific resource management practices in various educational contexts.
Keywords: Resource Management, Motivation, Deep Learning, VLE

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