{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,17]],"date-time":"2026-01-17T03:46:50Z","timestamp":1768621610294,"version":"3.49.0"},"reference-count":15,"publisher":"Wiley","license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100004712","name":"Tianjin University of Science and Technology","doi-asserted-by":"publisher","award":["2016LG28"],"award-info":[{"award-number":["2016LG28"]}],"id":[{"id":"10.13039\/501100004712","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Journal of Electrical and Computer Engineering"],"published-print":{"date-parts":[[2017]]},"abstract":"<jats:p>With the development of mobile platform, such as smart cellphone and pad, the E-Learning model has been rapidly developed. However, due to the low completion rate for E-Learning platform, it is very necessary to analyze the behavior characteristics of online learners to intelligently adjust online education strategy and enhance the quality of learning. In this paper, we analyzed the relation indicators of E-Learning to build the student profile and gave countermeasures. Adopting the similarity computation and Jaccard coefficient algorithm, we designed a system model to clean and dig into the educational data and also the students\u2019 learning attitude and the duration of learning behavior to establish student profile. According to the E-Learning resources and learner behaviors, we also present the intelligent guide model to guide both E-Learning platform and learners to improve learning things. The study on student profile can help the E-Learning platform to meet and guide the students\u2019 learning behavior deeply and also to provide personalized learning situation and promote the optimization of the E-Learning.<\/jats:p>","DOI":"10.1155\/2017\/9720396","type":"journal-article","created":{"date-parts":[[2017,3,13]],"date-time":"2017-03-13T18:23:33Z","timestamp":1489429413000},"page":"1-7","source":"Crossref","is-referenced-by-count":46,"title":["Online Behavior Analysis-Based Student Profile for Intelligent E-Learning"],"prefix":"10.1155","volume":"2017","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3354-6475","authenticated-orcid":true,"given":"Kun","family":"Liang","sequence":"first","affiliation":[{"name":"College of Computer Science and Information Engineering, Tianjin University of Science & Technology, Tianjin 300222, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2131-1257","authenticated-orcid":true,"given":"Yiying","family":"Zhang","sequence":"additional","affiliation":[{"name":"College of Computer Science and Information Engineering, Tianjin University of Science & Technology, Tianjin 300222, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yeshen","family":"He","sequence":"additional","affiliation":[{"name":"China GRIDCOM Co., Ltd., Shenzhen 518031, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yilin","family":"Zhou","sequence":"additional","affiliation":[{"name":"Xiamen Great Power Geo Information Technology Co. 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