부산대학교 도서관

The advent of generative artificial intelligence (GenAI) and large language models (LLMs) has opened new avenues for enhancing human learning. This study introduces Professor Leodar, a custom-built, Singlish-speaking Retrieval Augmented Generation (RAG) chatbot designed to enhance educational support for undergraduate engineering students. Deployed at Nanyang Technological University, Singapore, Professor Leodar offers a glimpse into the future of AI-assisted learning, offering personalized guidance, 24/7 availability, and contextually relevant information. Through a mixed-methods approach, we uncover the impact of Professor Leodar on student learning, engagement, and exam preparedness, with 97.1% of participants reporting positive experiences. These findings help define possible roles of AI in education and highlight the potential of custom GenAI chatbots. Our combination of chatbot development, in-class deployment and study of learning outcomes offers a benchmark for GenAI educational tools and serves as stepping stone for redefining the interplay between AI and human learning.
Comment: 13 pages, 5 figures, SI with Annexes A, B and C