Integrating Educational Assessment and Generative AI for Personalized Knowledge Building: An Exploratory Study
This study investigates the integration of educational assessment (EA) and generative artificial intelligence (GenAI) for personalized knowledge building in online learning environments. We propose a framework that combines cognitive diagnostic assessment with constrained GenAI to create tailored learning experiences. Our web-based system, built on content from an international assessment study, evaluates learners’ skill mastery and generates personalized remedial content. The preliminary results demonstrate the system’s capacity to provide detailed skill mastery information and generate adaptive remedial questions. While long-term efficacy research is ongoing, initial findings suggest that this EA-GenAI integration enhances the personalization and effectiveness of online learning. This study advances adaptive learning technologies by exploring innovative applications of AI for personalized assessment and dynamic content creation.
Authors
- Yuan Sun (ORCID: https://orcid.org/0000-0002-4595-9237)
- Wenbin Gan (ORCID: https://orcid.org/0000-0003-3342-5534)
- Xinguo Yu
Institutions
- National Institute of Informatics (JP)
- Central China Normal University (CN)
- National Institute of Information and Communications Technology (JP)
Publication Details
- Published
- 2024-11-06
- DOI
- https://doi.org/10.1109/ieir62538.2024.10960029
- Citations
- 1
- Primary Topic
- Intelligent Tutoring Systems and Adaptive Learning
- Type
- article
- Field-Weighted Citation Impact
- 0.35