Predicting Student Success Rate Using Knowledge Graph
Date Published : 24 September 2024
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Contributors
Riana Watson
Author
Debri Sumule
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