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This paper addresses the challenge and proposes a convolutional neural network-based architecture that extracts discriminative features from the face (Affective) and the upper body (Behavioral) of the learner and classifies the engagement. The performance of the proposed architecture is evaluated on the publicly available Dataset of Affective States In E-Environments (DAiSEE) and the learning-centered affective state dataset curated from open-source datasets. The experimental results demonstrate that the proposed methodology with affective and behavioral features improves the engagement measurement results. The proposed method outperforms the state-of-the-art in terms of Unweighted Average Recall (UAR), Unweighted Average Precision (UAP), and Unweighted Average F1 (UAF1) with 79.14%, 49.62%, and 55.29% values, respectively. It is threefold more computationally efficient than the previous state-of-the-art method. The proposed method also improves the accuracy of the curated dataset by 2.07% of the prior method. <\/jats:p>","DOI":"10.1142\/s0218001424520268","type":"journal-article","created":{"date-parts":[[2024,10,4]],"date-time":"2024-10-04T10:11:48Z","timestamp":1728036708000},"source":"Crossref","is-referenced-by-count":2,"title":["Deep Learning-Based Student Engagement Classification in Online Learning"],"prefix":"10.1142","volume":"38","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6362-4185","authenticated-orcid":false,"given":"Sandeep","family":"Mandia","sequence":"first","affiliation":[{"name":"Department of Electronics and Communication Engineering, Malaviya National Institute of Technology, Jaipur 302017, Rajasthan, India"},{"name":"Department of Electronics and Communication Engineering, Thapar Institute of Engineering and Technology, Patiala 147004, Punjab, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2350-1700","authenticated-orcid":false,"given":"Kuldeep","family":"Singh","sequence":"additional","affiliation":[{"name":"Department of Electronics and Communication Engineering, Malaviya National Institute of Technology, Jaipur 302017, Rajasthan, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6139-3368","authenticated-orcid":false,"given":"Rajendra","family":"Mitharwal","sequence":"additional","affiliation":[{"name":"Department of Electronics and Communication Engineering, Malaviya National Institute of Technology, Jaipur 302017, Rajasthan, India"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"219","published-online":{"date-parts":[[2024,11,25]]},"reference":[{"key":"S0218001424520268BIB003","doi-asserted-by":"publisher","DOI":"10.1007\/s00530-023-01244-1"},{"key":"S0218001424520268BIB004","doi-asserted-by":"publisher","DOI":"10.1145\/2557642.2563678"},{"key":"S0218001424520268BIB005","doi-asserted-by":"publisher","DOI":"10.1037\/0033-295X.89.4.369"},{"key":"S0218001424520268BIB007","doi-asserted-by":"publisher","DOI":"10.1155\/2012\/528781"},{"key":"S0218001424520268BIB008","doi-asserted-by":"publisher","DOI":"10.1049\/iet-cvi.2018.5281"},{"key":"S0218001424520268BIB009","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2019.2929257"},{"key":"S0218001424520268BIB010","first-page":"1","volume-title":"Proc. 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