A Generative AI-Empowered Digital Tutor for Higher Education Courses
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.
Authors
- Mark Shtaif (ORCID: https://orcid.org/0000-0003-2580-610X)
- Mosik Lavi
- Rami Nasser (ORCID: https://orcid.org/0000-0003-2670-6856)
- Ron Sheinin (ORCID: https://orcid.org/0000-0001-9154-705X)
- Yarden Frenkel
- Tova Milo
- Hila Reicher
- Yuval Ran-milo
Institutions
- Tel Aviv University (IL)
Publication Details
- Journal
- Information
- Published
- 2025-03-26
- DOI
- https://doi.org/10.3390/info16040264
- Citations
- 3
- Primary Topic
- Online Learning and Analytics
- Type
- article
- Field-Weighted Citation Impact
- 5.08
Funders
- Tel Aviv University