A Generative AI-Empowered Digital Tutor for Higher Education Courses

Hila Reicher, Yarden Frenkel, Maor Juliet Lavi, Rami Nasser, Yuval Ran-milo, Ron Sheinin, Mark Shtaif, Tova Milo*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

This paper explores the potential of AI-based digital tutors to enhance student learning by providing accurate, course-specific answers to complex questions, anchored in validated course materials. The Tel Aviv University Digital Tutor (TAUDT) exemplifies this approach, enabling students to navigate and comprehend academic content with ease. By citing specific passages in course materials, TAUDT ensures pedagogical accuracy and relevance while fostering independent learning. Its modular design allows for the seamless integration of advancements in AI and state-of-the-art technologies, ensuring long-term adaptability and performance. Designed to integrate effortlessly into existing academic workflows, TAUDT requires no technological expertise from instructors, addressing barriers posed by technophobia among faculty. A pilot study demonstrated high levels of student engagement, highlighting its potential as a scalable, adaptive solution for higher education.

Original languageEnglish
Article number264
JournalInformation (Switzerland)
Volume16
Issue number4
DOIs
StatePublished - Apr 2025

Funding

FundersFunder number
Tel Aviv University

    Keywords

    • AI
    • LLM
    • digital tutoring
    • higher education

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