{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,21]],"date-time":"2026-02-21T05:04:08Z","timestamp":1771650248658,"version":"3.50.1"},"reference-count":21,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2022,4,14]],"date-time":"2022-04-14T00:00:00Z","timestamp":1649894400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100002858","name":"China Postdoctoral Science Foundation","doi-asserted-by":"publisher","award":["2020M680352"],"award-info":[{"award-number":["2020M680352"]}],"id":[{"id":"10.13039\/501100002858","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Scientific and Technological Innovation Foundation of Shunde Graduate School, USTB","award":["2020BH011"],"award-info":[{"award-number":["2020BH011"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61772068"],"award-info":[{"award-number":["61772068"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["FRF-TP-20-063A1Z"],"award-info":[{"award-number":["FRF-TP-20-063A1Z"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Information"],"abstract":"<jats:p>Personalized education aims to provide cooperative and exploratory courses for students by using computer and network technology to construct a more effective cooperative learning mode, thus improving students\u2019 cooperation ability and lifelong learning ability. Based on students\u2019 interests, this paper proposes an effective student grouping strategy and group-oriented course recommendation method, comprehensively considering characteristics of students and courses both from a statistical dimension and a semantic dimension. First, this paper combines term frequency\u2013inverse document frequency and Word2Vec to preferably extract student characteristics. Then, an improved K-means algorithm is used to divide students into different interest-based study groups. Finally, the group-oriented course recommendation method recommends appropriate and quality courses according to the similarity and expert score. Based on real data provided by junior high school students, a series of experiments are conducted to recommend proper social practical courses, which verified the feasibility and effectiveness of the proposed strategy.<\/jats:p>","DOI":"10.3390\/info13040197","type":"journal-article","created":{"date-parts":[[2022,4,14]],"date-time":"2022-04-14T21:44:06Z","timestamp":1649972646000},"page":"197","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["An Effective Student Grouping and Course Recommendation Strategy Based on Big Data in Education"],"prefix":"10.3390","volume":"13","author":[{"given":"Yu","family":"Guo","sequence":"first","affiliation":[{"name":"University of Science and Technology Beijing, Beijing 100083, China"},{"name":"Shunde Graduate School, University of Science and Technology Beijing, Foshan 528399, China"}]},{"given":"Yue","family":"Chen","sequence":"additional","affiliation":[{"name":"University of Science and Technology Beijing, Beijing 100083, China"}]},{"given":"Yuanyan","family":"Xie","sequence":"additional","affiliation":[{"name":"University of Science and Technology Beijing, Beijing 100083, China"}]},{"given":"Xiaojuan","family":"Ban","sequence":"additional","affiliation":[{"name":"University of Science and Technology Beijing, Beijing 100083, China"},{"name":"Shunde Graduate School, University of Science and Technology Beijing, Foshan 528399, China"}]}],"member":"1968","published-online":{"date-parts":[[2022,4,14]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Sofroniou, A., and Poutos, K. 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Proceedings of the 2010 23rd International Conference on Computational Linguistics, Beijing, China."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"76","DOI":"10.1109\/MIC.2003.1167344","article-title":"Amazon.com recommendations: Item-to-item collaborative filtering","volume":"7","author":"Linden","year":"2003","journal-title":"IEEE Internet Comput."},{"key":"ref_5","unstructured":"Mikolov, T., Chen, K., Corrado, G., and Dean, J. (2013, January 2\u20134). Efficient estimation of word representations in vector space. Proceedings of the 2013 1st International Conference on Learning Representations (ICLR), Scottsdale, AZ, USA."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"318","DOI":"10.1016\/j.compedu.2007.05.009","article-title":"Student perceptions of collaborative learning, social presence and satisfaction in a blended learning environment: Relationships and critical factors","volume":"51","author":"So","year":"2008","journal-title":"Comput. Educ."},{"key":"ref_7","unstructured":"Ruane, R. (2012). A Study of Student Interaction in an Online Learning Environment Specially Crafted for Cross-Level Peer Mentoring. [Ph.D. Thesis]."},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"Liu, Q., Ba, S., Huang, J., Wu, L., and Lao, C. (2017, January 27\u201329). A study on grouping strategy of collaborative learning based on clustering algorithm. Proceedings of the International Conference on Blended Learning, Hong Kong, China.","DOI":"10.1007\/978-3-319-59360-9_25"},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Tacadao, G., and Toledo, R.P. (2016, January 7\u201310). Forming Student Groups with Student Preferences Using Constraint Logic Programming. Proceedings of the 2016 17th International Conference on Artificial Intelligence: Methodology, Systems, and Applications (AIMSA), Varna, Bulgaria.","DOI":"10.1007\/978-3-319-44748-3_25"},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Pang, Y., Xiao, F., Wang, H., and Xue, X. (2014, January 3\u20136). A Clustering-Based Grouping Model for Enhancing Collaborative Learning. Proceedings of the 2014 13th International Conference on Machine Learning and Applications (ICMLA), Detroit, MI, USA.","DOI":"10.1109\/ICMLA.2014.94"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"34","DOI":"10.3991\/ijet.v17i04.29583","article-title":"Features of Group Online Learning Behaviors Based on Data Mining","volume":"17","author":"Zhu","year":"2022","journal-title":"Int. J. Emerg. Technol. Learn."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"7681","DOI":"10.1016\/j.eswa.2008.09.008","article-title":"Data mining for adaptive learning sequence in English language instruction","volume":"36","author":"Wang","year":"2009","journal-title":"Expert Syst. Appl."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.knosys.2013.04.015","article-title":"Combination of machine learning algorithms for recommendation of courses in E-Learning System based on historical data","volume":"51","author":"Aher","year":"2013","journal-title":"Knowl. Based Syst."},{"key":"ref_14","first-page":"1315","article-title":"Program assessment and evaluation using student grades obtained on outcome-related course learning objectives","volume":"27","author":"Meson","year":"2010","journal-title":"J. Prof. Issues Eng. Educ. Pract."},{"key":"ref_15","first-page":"50","article-title":"Agent-Based E-Learning Course Recommendation: Matching Learner Characteristics with Content Attributes","volume":"25","author":"Manouselis","year":"2003","journal-title":"Int. J. Comput. Appl."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"667","DOI":"10.1007\/s12652-017-0466-8","article-title":"A personalized recommendation system with combinational algorithm for online learning","volume":"9","author":"Xiao","year":"2018","journal-title":"J. Ambient Intell. Humanized Comput."},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"Wang, H., Zhang, P., Lu, T., Gu, H., and Gu, N. (2017, January 26\u201328). Hybrid recommendation model based on incremental collaborative filtering and content-based algorithms. Proceedings of the IEEE 21st International Conference on Computer Supported Cooperative Work in Design (CSCWD), Wellington, New Zealand.","DOI":"10.1109\/CSCWD.2017.8066717"},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/2037661.2037665","article-title":"Recommendation systems with complex constraints","volume":"29","author":"Parameswaran","year":"2011","journal-title":"ACM Trans. Inf. Syst."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"19","DOI":"10.3991\/ijet.v17i04.29585","article-title":"Big Data-Assisted Recommendation of Personalized Learning Resources and Teaching Decision Support","volume":"17","author":"Si","year":"2022","journal-title":"Int. J. Emerg. Technol. Learn."},{"key":"ref_20","unstructured":"(2021, November 12). Jieba Chinese Word Segmentation Tool. Available online: https:\/\/github.com\/fxsjy\/jieba."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"8494","DOI":"10.3390\/rs6098494","article-title":"Plant Species Discrimination in a Tropical Wetland Using in Situ Hyperspectral Data","volume":"6","author":"Prospere","year":"2014","journal-title":"Remote Sens."}],"container-title":["Information"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2078-2489\/13\/4\/197\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T22:54:15Z","timestamp":1760136855000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2078-2489\/13\/4\/197"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,4,14]]},"references-count":21,"journal-issue":{"issue":"4","published-online":{"date-parts":[[2022,4]]}},"alternative-id":["info13040197"],"URL":"https:\/\/doi.org\/10.3390\/info13040197","relation":{},"ISSN":["2078-2489"],"issn-type":[{"value":"2078-2489","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,4,14]]}}}