Enabling Learning of Programming through Educational Chatbot

Nantha Kumar Subramaniam
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Nantha Kumar Subramaniam: Open University Malaysia (OUM)

International Journal of Research and Innovation in Applied Science, 2024, vol. 9, issue 12, 470-477

Abstract: This research investigates the integration of AI-powered chatbots as transformative tools to enhance the teaching and learning of programming, specifically targeting Java programming in an open and distance learning (ODL) environment. The chatbot was conceptualized and developed using principles from constructivist, problem-based, and active learning theories to support a learner-centric approach. Designed to offer multimodal content, real-time feedback, and interactive problem-solving exercises, the chatbot aims to reduce cognitive load and facilitate a deeper understanding of complex programming concepts. The implementation involved deploying the chatbot in an online Java programming course over one semester, engaging 32 ODL learners in a blended learning mode. Learners utilized the chatbot for interactive, one-on-one tutoring sessions, benefiting from multimodal materials such as animations, visualizations, and interactive exercises. These resources supported learners in addressing challenging concepts and completing programming tasks, enhancing their engagement and comprehension. Evaluation was conducted through a structured survey using a 4-point Likert scale, capturing learner perceptions on the chatbot’s effectiveness. The findings revealed high levels of satisfaction, with learners highlighting the chatbot’s ability to provide learning support and its unique learning experience. The survey further underscored the chatbot’s role in alleviating cognitive load and bridging the gap between abstract programming theories and their practical applications. The study demonstrates the potential of AI-powered chatbots to transform programming education.

Date: 2024
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