This study explores the reimagining of higher education through hybrid and online learning models among college students in and around Chennai, including Chengalpattu and Kanchipuram districts of Tamil Nadu, India. A structured survey of undergraduate and postgraduate students was conducted to assess key dimensions of digital education such as student engagement, satisfaction, access to technology, instructional effectiveness, institutional support, and academic performance. Statistical tools including correlation, regression, and chi-square tests were applied to identify significant predictors of learning outcomes in hybrid and remote learning environments.
The findings reveal a strong student preference for hybrid learning, emphasizing benefits such as flexible schedules, self-paced learning, reduced commuting time, and access to recorded lectures. Despite these advantages, students reported challenges such as inconsistent internet connectivity, lack of peer interaction, and inadequate technical support. A multiple regression analysis indicated that approximately 37.7% of the variance in academic performance could be explained by key factors such as access to technology, quality of student support services, digital literacy, and an inclusive learning environment. Notably, no significant association was observed between students' age group and their preferred learning mode, suggesting generational adaptability to digital formats.
The study highlights the critical importance of institutional readiness, robust digital infrastructure, and inclusive pedagogical practices in ensuring effective and equitable digital learning. It also reflects on the long-term implications of the post-pandemic educational shift, advocating for sustained investments in hybrid learning models that balance technological innovation with student-centric design. These insights offer valuable guidance for educators, administrators, and policymakers aiming to transform higher education in the Chennai region through resilient, flexible, and future-ready learning systems.