Intelligent Model to Implement Blended Learning Using Cloud Computing in Higher Education Institutes

Abstract

“Blended learning”, a pedagogical approach combining traditional face-to-face instruction with online components, has garnered substantial attention in higher education. This study delves into the integration of an intelligent model for blended learning leveraging cloud computing technologies within the context of higher education institutes. Employing a comprehensive survey-based methodology involving 80 participants from diverse backgrounds, this research aimed to explore the correlation between blended learning and cloud computing. The findings of this study reveal robust positive correlation between blended learning and cloud computing. Statistical analysis, including a Pearson correlation coefficient (R) of 0.897 and a statistically significant F-statistic of 97.885 (sig. = 0.000, p < 0.05), underscore the strong relationship between these two domains. These results emphasize the substantial potential for enhancing educational practices and experiences in higher education through the strategic integration of cloud computing technologies into blended learning. Implications of this correlation are multifaceted and bear significant relevance for educational institutions. The synergy between blended learning and cloud computing offers opportunities for improved efficiency, scalability, cost-effectiveness, innovation in pedagogy, student engagement, data-driven decision-making, and continuous improvement. It calls for a holistic approach to educational transformation that accommodates diverse demographics and learning preferences.