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.

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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
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article

Integrating Educational Assessment and Generative AI for Personalized Knowledge Building: An Exploratory Study

Yuan Sun, Wenbin Gan, Xinguo Yu
1 citations
Intelligent Tutoring Systems and Adaptive Learning
0.35
article

Integrating Educational Assessment and Generative AI for Personalized Knowledge Building: An Exploratory Study

Yuan Sun, Wenbin Gan, Xinguo Yu
article en
1 citations

Abstract

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.

National Institute of Informatics (JP), Central China Normal University (CN), National Institute of Information and Communications Technology (JP)
Quality Education
Openalex Percentile: Top 29%
Intelligent Tutoring Systems and Adaptive Learning
0.35
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