Nagaland University researchers have developed a pioneering Flexible Learning System (FLS), harnessing Multi-Access Edge Computing (MEC) to personalise education. This adaptive system enables students to learn at their own pace through customised course content, enhancing engagement and academic success.
The research, conducted at the School of Engineering & Technology, has demonstrated a 94% reduction in task processing time, significantly improving response rates for real-time learning. By categorising students based on their performance, the system ensures tailored educational experiences with easy, moderate, or advanced content.
The study, led by Ramesh Singh, Chenlep Yakha Konyak, and Akangjungshi Longkumer from the Department of Computer Science and Engineering, was published in the International Journal of Information Technology. The FLS framework overcomes key limitations of Intelligent Tutoring Systems (ITS) by integrating MEC technology, optimising bandwidth usage, and enhancing student-instructor interaction.
Vice-Chancellor Prof. Jagadish K. Patnaik acknowledged the system’s potential, stating that future iterations will incorporate IoT, Augmented Reality (AR), and Virtual Reality (VR) for more immersive learning. These advancements will ensure real-time performance tracking, making the system particularly beneficial for regions with limited educational infrastructure.
Assistant Professor Chenlep Yakha Konyak confirmed that the system is still in development, with further testing and commercialisation planned. With its potential to redefine personalised education, the FLS framework could see widespread adoption in educational institutions, offering real-time, tailored learning experiences that improve student engagement and outcomes.
