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Affective e-learning approaches, technology and implementation model: a systematic review

International Journal of Electrical and Computer Engineering (IJECE) · Vol. 14 No. 1 (2024)

DOI
10.11591/ijece.v14i1.pp631-644
ISSN
2722-2578, 2088-8708
Published
2024-02-01
Publisher
Institute of Advanced Engineering and Science
License
creativecommons.org/licenses/by-sa/4.0

Abstract

A systematic literature study including articles from 2016 to 2022 was done to evaluate the various approaches, technologies, and implementation models involved in measuring student engagement during learning. The review’s objective was to compile and analyze all studies that investigated how instructors can gauge students’ mental states while teaching and assess the most effective teaching methods. Additionally, it aims to extract and assess expanded methodologies from chosen research publications to offer suggestions and answers to researchers and practitioners. Planning, carrying out the analysis, and publishing the results have all received significant attention in the research approach. The study’s findings indicate that more needs to be done to evaluate student participation objectively and follow their development for improved academic performance. Physiological approaches should be given more support among the alternatives. While deep learning implementation models and contactless technology should interest more researchers. And, the recommender system should be integrated into e-learning system. Other approaches, technologies, and methodology articles, on the other hand, lacked authenticity in conveying student feeling.

Collaboration network of the authors

13 authors · 27 co-authorship links · 8 across different organisations

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • Landmark University
  • Covenant University
  • Afe Babalola University
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Ayodele Ariyo AdebiyiLandmark University2
Julius Olatunji OkesolaAffiliation unknown1
Tochukwu Osi-OkekeAfe Babalola University1
Adeyinka Ajao AdewaleCovenant University1
Micheal Olaolu ArowoloLandmark University1
Charity AremuLandmark University1
Roseline Oluwaseun OgundokunLandmark University1
Alabo Inatimi NathusCovenant University1
Abidemi Emmanuel AdeniyiLandmark University1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

This record comes from Crossref (what the publisher deposited), because the journal's own OAI-PMH endpoint could not be harvested.

Metadata source: Crossref API (cadangan, berdasarkan ISSN) https://api.crossref.org/journals/2088-8708/works, first harvested 27 Okt 2026, last seen 27 Okt 2026.
Metadata as oai_dc, converted from Crossref
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