{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,11]],"date-time":"2026-06-11T04:49:17Z","timestamp":1781153357304,"version":"3.54.1"},"reference-count":27,"publisher":"World Scientific Pub Co Pte Ltd","issue":"Supp02","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["J. Inter. Net."],"published-print":{"date-parts":[[2022,4]]},"abstract":"<jats:p> Artificial intelligence can open modern opportunities and potentials for smart education. Smart learning purposes at providing holistic learning to learners utilizing modern technologies to fully prepare them for a fast-evolving world where adaptability is vital. With the advancement of technologies and within modern society, smart education will pose several challenges, like educational structures, pedagogical theory, educational ideology, technology leadership, and teachers\u2019 learning leadership. Therefore, in this paper, an Intelligent Knowledge-based recommender system (IKRS) has been proposed using artificial intelligence for smart education. The recommendation is generated by the genetic algorithm and K-nearest neighbor algorithm (KNN) utilizing the optimized weight attributes vectors that signify the learner\u2019s opinions. The experimental results show that the suggested IKRS model enhances student-teacher interaction, student involvement level, learning quality and predicts students\u2019 learning style compared to other existing methods. <\/jats:p>","DOI":"10.1142\/s0219265921430313","type":"journal-article","created":{"date-parts":[[2022,1,30]],"date-time":"2022-01-30T05:45:43Z","timestamp":1643521543000},"source":"Crossref","is-referenced-by-count":27,"title":["Knowledge-Based Recommender System Using Artificial Intelligence for Smart Education"],"prefix":"10.1142","volume":"22","author":[{"given":"Humin","family":"Yang","sequence":"first","affiliation":[{"name":"College of Education, Fuyang Normal University, Fuyang, Anhui 236037, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"M.","family":"Anbarasan","sequence":"additional","affiliation":[{"name":"Sairam Institution of Technology, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Thanjai","family":"Vadivel","sequence":"additional","affiliation":[{"name":"Veltech University, India"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"219","published-online":{"date-parts":[[2022,1,28]]},"reference":[{"key":"S0219265921430313BIB001","author":"Gao J.","year":"2020","journal-title":"IEEE Transactions on Services Computing"},{"key":"S0219265921430313BIB002","doi-asserted-by":"publisher","DOI":"10.23741\/RRGE220192"},{"key":"S0219265921430313BIB003","first-page":"1","author":"Nguyen T. 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