LA Chatbot: AI-Based Multimodal and Integrated Learning Assistant Tools
This LAchatbot increases student involvement, learning results, responsible use, and easy adoption. Build a GenAI-enabled multimodal and add in analytics tools.
Presented by:
Dhananjay Singh, Penn State University
Hear it from the author:
Transcript:
Key Words:
AI in Education, Enhancing Student Engagement, Learning Assistant Tools
Abstract:
This project tackles the emerging challenges of generative AI within academic settings by implementing innovative, AI-focused pedagogical approaches. It utilizes GenAI to improve student engagement, retention, and conceptual comprehension while ensuring ethical and compliant utilization of AI technologies. At the heart of the initiative is the development of a large language model tailored for specific course material and student questions, which helps provide personalized academic support and encourages independent learning. A system for ongoing feedback and surveys will help improve the AI tools and teaching methods over time.
Outcomes:
1. Augmented conceptual comprehension and problem-solving via individualized, AI-assisted education.
2. Enhanced student engagement and autonomous learning through the utilization of adaptive generative AI techniques.
3. Enhanced ethical consciousness and prudent utilization of AI in academic settings.
References:
Hirpara, N., Weber, M., Szakonyi, A., Cardona, T., & Singh, D. (2025). Exploring the role of generative AI in shaping education. In D. Singh, J. W. van ’t Klooster, & U. S. Tiwary (Eds.), Intelligent human computer interaction (IHCI 2024) (Lecture Notes in Computer Science, Vol. 15558). Springer. https://doi.org/10.1007/978-3-031-88881-6_10
Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education: Where are the educators? International Journal of Educational Technology in Higher Education, 16(1), Article 39. https://doi.org/10.1186/s41239-019-0171-0
Ifenthaler, D., & Yau, J. Y.-K. (2020). Utilising learning analytics to support study success in higher education: A systematic review. Educational Technology Research and Development, 68, 1961–1990. https://doi.org/10.1007/s11423-020-09788-z
Luckin, R., Holmes, W., Griffiths, M., & Forcier, L. B. (2016). Intelligence unleashed: An argument for AI in education. Pearson Education.
Holmes, W., Bialik, M., & Fadel, C. (2022). Teaching and learning with artificial intelligence: Realizing the potential of AI in education. Routledge.