Integration of Chatbots into LMS for Real-Time Academic Support and Resource Discovery

Abstract

The chatbots potential in automating repetitive tasks and fostering self-directed learning enables overcoming
communication barriers in educational technologies. These technologies provides feasible improvements in
enhancing electronic educational environments. This paper aims to address the challenge of providing prompt
academic assistance and proficient resource searching through the inclusion of chatbots in learning management
system. This system harnesses the power of machine learning and NLP to create an intelligent chatbot that assists
students with their inquiries, provides contextual resource pointers, and performs administrative functions. The
research focuses on the design and implementation of a modular chatbot framework, beginning with an LMS called
Moodle, followed by user engagement testing and benchmarking performance metrics using a task-centric approach.
This research compares LMS navigational experience with chatbot-assisted navigation from the perspectives of
response time to queries, enhancement of user satisfaction, and increase in completion rate for tasks evaluation.
Chatbots are potential accomplices to assist in automating monotonous academic activities which help learners take
charge of their learning by allowing them to set their suitable schedule and work on tasks autonomously. Findings
depict that the user experience in elture is significantly improved, support response time is reduced, and learner
performance is sharpened.