Insights on Implications of Cognitive Computing in Leveraging Online Education Systems
MVV Prasad Kantipudi, Rajanikanth Aluvalu, V. Uma Maheswari, Mahesh S. Raisinghani
Abstract
Cognitive computing offers a good range of technological platforms that enhance the performance of online learning systems and is meant for assisting both instructors as well as students in leveraging the delivery of enriched content. In comparison to conventional e-learning systems, the inclusion of cognitive computing can escalate the performance efficiency of online learning. As a result, natural language processing and machine learning have generated a lot of interest in the research community. At present, it is an ongoing exploration towards finding the best possible means to use cognitive computing. The manuscript proposes a tentative plan for the next level of implementation using contextual analysis in order to improve the interaction between the computational model and user, as well as a proposition of using the network for analyzing massive educational data. This manuscript offers insights into the strength of using cognitive computing in an educational system and offers a future plan to integrate it for an optimal learning experience by each learner/student.