{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T05:06:11Z","timestamp":1750309571337,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":14,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,11,15]],"date-time":"2024-11-15T00:00:00Z","timestamp":1731628800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,11,15]]},"DOI":"10.1145\/3718751.3718887","type":"proceedings-article","created":{"date-parts":[[2025,4,28]],"date-time":"2025-04-28T06:31:46Z","timestamp":1745821906000},"page":"835-840","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["GLU-Transformer for Predicting Withdrawal in VLE"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0009-0413-5010","authenticated-orcid":false,"given":"Haoxin","family":"Luo","sequence":"first","affiliation":[{"name":"Shantou Polytechnic, Shantou, Guangdong, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-6228-3054","authenticated-orcid":false,"given":"Qianyu","family":"Yu","sequence":"additional","affiliation":[{"name":"Shantou Polytechnic, Shantou, Guangdong, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-0958-5269","authenticated-orcid":false,"given":"Shaohao","family":"Xie","sequence":"additional","affiliation":[{"name":"Shantou Polytechnic, Shantou, Guangdong, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-8173-5474","authenticated-orcid":false,"given":"Haohai","family":"Wu","sequence":"additional","affiliation":[{"name":"Shantou Polytechnic, Shantou, Guangdong, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-5613-3347","authenticated-orcid":false,"given":"Kaibin","family":"Xu","sequence":"additional","affiliation":[{"name":"Shantou Polytechnic, Shantou, Guangdong, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2025,4,27]]},"reference":[{"key":"e_1_3_3_1_1_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.chb.2018.05.033"},{"volume-title":"Proceedings of the 8th International Conference on Learning Analytics and Knowledge. ACM; 2018:141\u2013150","author":"Nguyen Q","key":"e_1_3_3_1_2_2","unstructured":"Nguyen Q, Huptych M, Rienties B Linking students' timing of engagement to learning design and academic performance. In: Proceedings of the 8th International Conference on Learning Analytics and Knowledge. ACM; 2018:141\u2013150."},{"key":"e_1_3_3_1_3_2","doi-asserted-by":"publisher","DOI":"10.1155\/2022\/7099963"},{"key":"e_1_3_3_1_4_2","doi-asserted-by":"publisher","DOI":"10.1038\/sdata.2017.171"},{"key":"e_1_3_3_1_5_2","doi-asserted-by":"publisher","DOI":"10.1002\/int.22129"},{"issue":"11","key":"e_1_3_3_1_6_2","first-page":"290","article-title":"Students\u2019 academic failure prediction using data mining[J]","volume":"4","author":"Khobragade L P","year":"2015","unstructured":"Khobragade L P, Mahadik P. Students\u2019 academic failure prediction using data mining[J]. International Journal of Advanced Research in Computer and Communication Engineering, 2015, 4(11): 290-298.","journal-title":"International Journal of Advanced Research in Computer and Communication Engineering"},{"key":"e_1_3_3_1_7_2","first-page":"1630","volume-title":"A hybrid method based on mlfs approach to analyze students\u2019 academic achievement","author":"Liu C.-H.","unstructured":"W.-X. Liu and C.-H. Cheng, \u201cA hybrid method based on mlfs approach to analyze students\u2019 academic achievement,\u201d pp. 1625\u20131630. 08, 2016."},{"key":"e_1_3_3_1_8_2","volume-title":"The role of demographics in online learning","author":"Rizvi S.","year":"2019","unstructured":"Rizvi, S., Rienties, B., & Khoja, S. A. (2019). The role of demographics in online learning; A decision tree based approach. Computers & Education, 137, 32\u201347."},{"key":"e_1_3_3_1_9_2","volume-title":"Temporal models for predicting student dropout in massive open online courses[C]\/\/2015 IEEE international conference on data mining workshop (ICDMW)","author":"Fei M","year":"2015","unstructured":"Fei M, Yeung D Y. Temporal models for predicting student dropout in massive open online courses[C]\/\/2015 IEEE international conference on data mining workshop (ICDMW). IEEE, 2015: 256-263."},{"key":"e_1_3_3_1_10_2","doi-asserted-by":"publisher","DOI":"10.3390\/app12041885"},{"volume-title":"14th International Conference on Developments in eSystems Engineering (DeSE). IEEE","author":"Al-Tameemi G","key":"e_1_3_3_1_11_2","unstructured":"Al-Tameemi G, Xue J, Ajit S, et al. A deep neural network-based prediction model for students\u2019 academic performance[C]\/\/2021 14th International Conference on Developments in eSystems Engineering (DeSE). IEEE, 2021: 364-369."},{"key":"e_1_3_3_1_12_2","volume-title":"A deep learning framework for predicting the student's performance in the virtual learning environment[C]\/\/2022 5th International Conference on Computing and Informatics (ICCI)","author":"Ahmed S","year":"2022","unstructured":"Ahmed S, Helmy Y, Ouf S. A deep learning framework for predicting the student's performance in the virtual learning environment[C]\/\/2022 5th International Conference on Computing and Informatics (ICCI). IEEE, 2022: 240-250."},{"key":"e_1_3_3_1_13_2","volume-title":"Attention is all you need[J]. Advances in neural information processing systems","author":"Vaswani A","year":"2017","unstructured":"Vaswani A, Shazeer N, Parmar N, et al. Attention is all you need[J]. Advances in neural information processing systems, 2017, 30."},{"volume-title":"PMLR","author":"Dauphin Y N","key":"e_1_3_3_1_14_2","unstructured":"Dauphin Y N, Fan A, Auli M, et al. Language modeling with gated convolutional networks[C]\/\/International conference on machine learning. PMLR, 2017: 933-941."}],"event":{"name":"ICBAR 2024: 2024 4th International Conference on Big Data, Artificial Intelligence and Risk Management","acronym":"ICBAR 2024","location":"Chengdu Guangdong China"},"container-title":["Proceedings of the 2024 4th International Conference on Big Data, Artificial Intelligence and Risk Management"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3718751.3718887","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3718751.3718887","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T01:19:13Z","timestamp":1750295953000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3718751.3718887"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,11,15]]},"references-count":14,"alternative-id":["10.1145\/3718751.3718887","10.1145\/3718751"],"URL":"https:\/\/doi.org\/10.1145\/3718751.3718887","relation":{},"subject":[],"published":{"date-parts":[[2024,11,15]]},"assertion":[{"value":"2025-04-27","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}