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 language | English |
|---|---|
| Article number | 264 |
| Journal | Information (Switzerland) |
| Volume | 16 |
| Issue number | 4 |
| DOIs | |
| State | Published - Apr 2025 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 4 Quality Education
Keywords
- AI
- LLM
- digital tutoring
- higher education
ASJC Scopus subject areas
- Information Systems
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