ChatISA: A Prompt-Engineered, In-House Multi-Modal Generative AI Chatbot for Information Systems Education
Fadel M. Megahed, Ying-Ju Chen, Joshua A. Ferris, Cameron Resatar, Kaitlyn Ross, Younghwa Lee, L. Allison Jones-Farmer

TL;DR
ChatISA is a multi-modal AI chatbot designed for Information Systems education, supporting students and faculty with coding, projects, exams, and interviews, demonstrating benefits and challenges of AI in education.
Contribution
Introduces ChatISA, an in-house multi-modal AI chatbot tailored for IS education, with four modules to enhance learning and engagement, and provides open-source code for wider adoption.
Findings
ChatISA improves student support in IS education.
Open-source code facilitates customization and adoption.
Highlights challenges and benefits of AI in education.
Abstract
As generative AI ('GenAI') continues to evolve, educators face the challenge of preparing students for a future where AI-assisted work is integral to professional success. This paper introduces ChatISA, an in-house, multi-model AI chatbot designed to support students and faculty in an Information Systems and Analytics (ISA) department. ChatISA comprises four primary modules: Coding Companion, Project Coach, Exam Ally, and Interview Mentor, each tailored to enhance different aspects of the educational experience. Through iterative development, student feedback, and leveraging open-source frameworks, we created a robust tool that addresses coding inquiries, project management, exam preparation, and interview readiness. The implementation of ChatISA provided valuable insights and highlighted key challenges. Our findings demonstrate the benefits of ChatISA for ISA education while…
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Taxonomy
TopicsArtificial Intelligence in Healthcare and Education · COVID-19 diagnosis using AI · AI in Service Interactions
