Revolutionizing Undergraduate Learning: CourseGPT and Its Generative AI Advancements
Ahmad M. Nazar, Mohamed Y. Selim, Ashraf Gaffar, Shakil Ahmed

TL;DR
This paper presents CourseGPT, an AI tool built on open-source LLMs to support undergraduate education by providing dynamic, course-specific responses, improving learning experiences, and streamlining administrative tasks.
Contribution
The paper introduces CourseGPT, a novel generative AI system tailored for educational support, utilizing open-source LLMs and enabling instructor control over responses.
Findings
Higher parameter models like Mixtral-8x7b outperform smaller models.
CourseGPT achieves 88.0% correctness and 66.6% faithfulness scores.
Students and TAs find CourseGPT accurate and helpful.
Abstract
Integrating Generative AI (GenAI) into educational contexts presents a transformative potential for enhancing learning experiences. This paper introduces CourseGPT, a generative AI tool designed to support instructors and enhance the educational experiences of undergraduate students. Built on open-source Large Language Models (LLMs) from Mistral AI, CourseGPT offers continuous instructor support and regular updates to course materials, enriching the learning environment. By utilizing course-specific content, such as slide decks and supplementary readings and references, CourseGPT provides precise, dynamically generated responses to student inquiries. Unlike generic AI models, CourseGPT allows instructors to manage and control the responses, thus extending the course scope without overwhelming details. The paper demonstrates the application of CourseGPT using the CPR E 431 - Basics of…
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Taxonomy
TopicsHigher Education Learning Practices · Online Learning and Analytics
