Using a Chat Interface for a Data-Driven Course Planning Wizard
DOI:
https://doi.org/10.32473/flairs.39.1.141829Keywords:
Education, chatbot, Recommender System, Course Advising, Markov Decision ProcessAbstract
Students often rely on academic advisors to plan their course schedules, but limited advising availability can make it difficult to receive timely guidance. Prior research at Georgia Gwinnett College proposed a course planning wizard using a Markov Decision Process (MDP) to analyze historical enrollment patterns and recommend courses for Data Science and Analytics students. Building on this work, this project develops a course recommendation system for all Information Technology majors. The system features a chat-style interface that allows students to easily interact with the tool and receive course suggestions. Using curriculum requirements and historical course success trends, the system generates ranked recommendations to support more informed course planning while reducing reliance on advisor availability.
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Copyright (c) 2026 Francis Bolay, Anca Doloc-Mihu, Cengiz Gunay

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.