{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,26]],"date-time":"2026-03-26T10:46:15Z","timestamp":1774521975282,"version":"3.50.1"},"reference-count":25,"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 (AI) assisted educational institutions extensively utilize electronic learning context to guarantee improved teaching and learning experiences accompanied by educational activities. E-learning or online learning plays a significant role in Chinese higher education. There is a challenge to implement e-learning in China\u2019s higher education to improve course resources, student learning style prediction, teaching quality, and service support. Hence in this paper, Artificial Intelligence based Efficient E-learning Framework (AI-EELF) has been proposed to overcome the challenges faced by China\u2019s higher education while implementing e-learning modules. The collected student data can be efficiently utilized and exploited to progress in an adaptive learning environment. The proposed AI-EELF method introduces multiple learning models to enhance teaching quality and predict the student learning style. The experimental results show that the proposed AI-EELF achieves high performance, prediction ratio in determining students\u2019 learning style and improves teaching quality compared to other existing methods. <\/jats:p>","DOI":"10.1142\/s0219265921430167","type":"journal-article","created":{"date-parts":[[2021,12,6]],"date-time":"2021-12-06T02:14:47Z","timestamp":1638756887000},"source":"Crossref","is-referenced-by-count":22,"title":["Artificial Intelligence Applications with e-Learning System for China\u2019s Higher Education Platform"],"prefix":"10.1142","volume":"22","author":[{"given":"Xiaoran","family":"Fu","sequence":"first","affiliation":[{"name":"Shandong of Statistics, Shandong University of Finance and Economics, Jinan, Shandong 250014, China"}]},{"given":"K.","family":"Lokesh Krishna","sequence":"additional","affiliation":[{"name":"S.V.College of Engineering, Tirupati, Andhra Pradesh, India"}]},{"given":"R.","family":"Sabitha","sequence":"additional","affiliation":[{"name":"Karuniya Institute of Technology and Science, India"}]}],"member":"219","published-online":{"date-parts":[[2021,12,6]]},"reference":[{"key":"S0219265921430167BIB001","doi-asserted-by":"publisher","DOI":"10.1088\/1742-6596\/1594\/1\/012023"},{"key":"S0219265921430167BIB002","first-page":"20664-75","volume":"7","author":"Xu X.","year":"2019","journal-title":"IEEE Access."},{"key":"S0219265921430167BIB003","doi-asserted-by":"publisher","DOI":"10.3991\/ijet.v15i09.12387"},{"issue":"3","key":"S0219265921430167BIB004","first-page":"6985-9","volume":"22","author":"Kavitha V.","year":"2019","journal-title":"Cluster Computing"},{"key":"S0219265921430167BIB005","doi-asserted-by":"publisher","DOI":"10.1109\/EDUCON.2018.8363223"},{"issue":"1","key":"S0219265921430167BIB006","first-page":"57","volume":"10","author":"Kumar B. 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