The main aim of this project is to analyze how IT infrastructure, tools, and digital innovations enhance the delivery and adoption of online education via MOOC platforms. It seeks to explore how technologies like cloud computing, learning analytics, artificial intelligence, and interactive media are being integrated into MOOC platforms (such as Coursera, edX, Udemy, or SWAYAM) to improve user experience, personalization, content delivery, and learner engagement. The project also examines the role of IT in expanding access to education, particularly in remote and under-resourced regions, while addressing the challenges of digital divide, platform scalability, and data security. By the end of the project, students will present strategic recommendations to improve the overall impact of IT in modern digital learning ecosystems.
To execute this project, students will begin by conducting a comprehensive review of how MOOC platforms function and the core IT components that support them, such as content management systems (CMS), learning management systems (LMS), cloud infrastructure, and recommendation engines. Students will explore use cases of AI in personalized learning, chatbots for learner support, and real-time analytics to track progress.
They will also identify and analyze the key challenges in technology adoption on MOOCs such as bandwidth issues, lack of user readiness, or data privacy concerns and evaluate how these can be mitigated through innovative IT solutions. Primary data collection (via learner surveys or platform reviews) and secondary research (case studies of successful MOOC models) will form the basis of their analysis. The final deliverables will include a strategic report featuring IT-led improvements, learner impact insights, and a group presentation highlighting their findings.
