Predicting Student Success Rate Using Knowledge Graph
Date Published : 24 September 2024
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Contributors
Riana Watson
University of Copenhagen
Author
Debri Sumule
University of Oslo
Translator
DOI
Proceeding
Track
General Track
License
Copyright (c) 2024 International Symposium on Artificial Intelligence (ISAI)
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Abstract
This paper proposes a new approach to predict student success rate using knowledge graph. Knowledge graph represents the relationship between concepts in a knowledge domain. By analyzing students’ learning paths in the knowledge graph, we can identify students’ learning difficulties and provide more effective learning recommendations.
References
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How to Cite
Watson, R. (2024). Predicting Student Success Rate Using Knowledge Graph (D. Sumule, Trans.). International Symposium on Artificial Intelligence (ISAI), 1(1), 2-11. https://doi.org/10.12821/exmpw696