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Exercise Hierarchical Feature Enhanced Knowledge Tracing
Knowledge tracing is a fundamental task in the computer-aid educational system. In this paper, we propose a hierarchical exercise feature enhanced knowledge tracing framework, which could enhance the ability of knowledge tracing by incorporating knowledge distribution, semantic features, and difficu...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7334699/ http://dx.doi.org/10.1007/978-3-030-52240-7_59 |
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author | Tong, Hanshuang Zhou, Yun Wang, Zhen |
author_facet | Tong, Hanshuang Zhou, Yun Wang, Zhen |
author_sort | Tong, Hanshuang |
collection | PubMed |
description | Knowledge tracing is a fundamental task in the computer-aid educational system. In this paper, we propose a hierarchical exercise feature enhanced knowledge tracing framework, which could enhance the ability of knowledge tracing by incorporating knowledge distribution, semantic features, and difficulty features from exercise text. Extensive experiments show the high performance of our framework. |
format | Online Article Text |
id | pubmed-7334699 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
record_format | MEDLINE/PubMed |
spelling | pubmed-73346992020-07-06 Exercise Hierarchical Feature Enhanced Knowledge Tracing Tong, Hanshuang Zhou, Yun Wang, Zhen Artificial Intelligence in Education Article Knowledge tracing is a fundamental task in the computer-aid educational system. In this paper, we propose a hierarchical exercise feature enhanced knowledge tracing framework, which could enhance the ability of knowledge tracing by incorporating knowledge distribution, semantic features, and difficulty features from exercise text. Extensive experiments show the high performance of our framework. 2020-06-10 /pmc/articles/PMC7334699/ http://dx.doi.org/10.1007/978-3-030-52240-7_59 Text en © Springer Nature Switzerland AG 2020 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article Tong, Hanshuang Zhou, Yun Wang, Zhen Exercise Hierarchical Feature Enhanced Knowledge Tracing |
title | Exercise Hierarchical Feature Enhanced Knowledge Tracing |
title_full | Exercise Hierarchical Feature Enhanced Knowledge Tracing |
title_fullStr | Exercise Hierarchical Feature Enhanced Knowledge Tracing |
title_full_unstemmed | Exercise Hierarchical Feature Enhanced Knowledge Tracing |
title_short | Exercise Hierarchical Feature Enhanced Knowledge Tracing |
title_sort | exercise hierarchical feature enhanced knowledge tracing |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7334699/ http://dx.doi.org/10.1007/978-3-030-52240-7_59 |
work_keys_str_mv | AT tonghanshuang exercisehierarchicalfeatureenhancedknowledgetracing AT zhouyun exercisehierarchicalfeatureenhancedknowledgetracing AT wangzhen exercisehierarchicalfeatureenhancedknowledgetracing |