{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,24]],"date-time":"2025-09-24T00:15:10Z","timestamp":1758672910090,"version":"3.44.0"},"publisher-location":"California","reference-count":0,"publisher":"International Joint Conferences on Artificial Intelligence Organization","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,9]]},"abstract":"<jats:p>Concept prerequisite relations determine the learning order of knowledge concepts in one domain, which has an important impact on teachers' course design and students' personalized learning. Current research usually predicts concept prerequisite relations from the perspective of knowledge, and rarely pays attention to the role of learners' learning behavior. We propose a Dual Graph Distillation Method for Concept Prerequisite Relation Learning (DGCPL). Specifically, DGCPL constructs a dual graph structure from both the knowledge and learning behavior perspectives, and captures the high-order knowledge features and learning behavior features through the concept-resource hypergraph and the learning behavior graph respectively. In addition, we introduce a gated knowledge distillation to fuse the structural information of concept nodes in the two graphs, so as to obtain a more comprehensive concept embedding representation and achieve accurate prediction of prerequisite relations. On three public benchmark datasets, we compare DGCPL with eight graph-based baseline methods and five traditional classification baseline methods. The experimental results show that DGCPL achieves state-of-the-art performance in learning concept prerequisite relations. Our code is available at https:\/\/github.com\/wisejw\/DGCPL.<\/jats:p>","DOI":"10.24963\/ijcai.2025\/930","type":"proceedings-article","created":{"date-parts":[[2025,9,19]],"date-time":"2025-09-19T08:10:40Z","timestamp":1758269440000},"page":"8366-8374","source":"Crossref","is-referenced-by-count":0,"title":["DGCPL: Dual Graph Distillation for Concept Prerequisite Relation Learning"],"prefix":"10.24963","author":[{"given":"Miao","family":"Zhang","sequence":"first","affiliation":[{"name":"School of Computer Science, Hubei University, China"},{"name":"Hubei Key Laboratory of Big Data Intelligent Analysis and Application, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiawei","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Computer Science, Hubei University, China"},{"name":"Key Laboratory of Intelligent Sensing System and Security, Ministry of Education, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jinying","family":"Han","sequence":"additional","affiliation":[{"name":"School of Computer Science, Hubei University, China"},{"name":"Key Laboratory of Intelligent Sensing System and Security, Ministry of Education, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kui","family":"Xiao","sequence":"additional","affiliation":[{"name":"School of Computer Science, Hubei University, China"},{"name":"Key Laboratory of Intelligent Sensing System and Security, Ministry of Education, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhifei","family":"Li","sequence":"additional","affiliation":[{"name":"School of Computer Science, Hubei University, China"},{"name":"Hubei Key Laboratory of Big Data Intelligent Analysis and Application, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yan","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Computer Science, Hubei University, China"},{"name":"Key Laboratory of Intelligent Sensing System and Security, Ministry of Education, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hao","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Computer Science, Hubei University, China"},{"name":"Key Laboratory of Intelligent Sensing System and Security, Ministry of Education, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shihui","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Computer Science, Hubei University, China"},{"name":"Key Laboratory of Intelligent Sensing System and Security, Ministry of Education, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"10584","event":{"number":"34","sponsor":["International Joint Conferences on Artificial Intelligence Organization (IJCAI)"],"acronym":"IJCAI-2025","name":"Thirty-Fourth International Joint Conference on Artificial Intelligence {IJCAI-25}","start":{"date-parts":[[2025,8,16]]},"theme":"Artificial Intelligence","location":"Montreal, Canada","end":{"date-parts":[[2025,8,22]]}},"container-title":["Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence"],"original-title":[],"deposited":{"date-parts":[[2025,9,23]],"date-time":"2025-09-23T11:35:30Z","timestamp":1758627330000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.ijcai.org\/proceedings\/2025\/930"}},"subtitle":[],"proceedings-subject":"Artificial Intelligence Research Articles","short-title":[],"issued":{"date-parts":[[2025,9]]},"references-count":0,"URL":"https:\/\/doi.org\/10.24963\/ijcai.2025\/930","relation":{},"subject":[],"published":{"date-parts":[[2025,9]]}}}