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2026, Vol: 6, Issue: 1
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Research Article
Online Published: 14 May 2026
 


An Emotion-Aware Recommendation System for Student Engagement in Smart Learning Environments Using Facial Emotion Recognition

Priscilla Abel, Ahmed Aliyu, Ajoze Abdulraheem Zubair.


Abstract
Emotional awareness is crucial for effective learning, yet students’ emotional cues are often overlooked
in large classrooms. This study presents a fully offline facial emotion recognition system that assists
educators in monitoring student engagement and emotional states without relying on external databases
or internet connections. Leveraging a Convolutional Neural Network, the system classifies seven
universal emotions: happiness, sadness, fear, anger, surprise, disgust, and neutrality. The system
achieved high predictive performance, with an overall accuracy of 92%, precision of 92.3%, recall of
91.3%, and F1-score of 91.8%, demonstrating reliable real-time emotion recognition. By providing
timely insights into students’ emotional responses, the system enables educators to adapt teaching
strategies, enhancing both academic engagement and emotional well-being. While performance may
vary with subtle emotions or cultural differences, the approach offers a practical tool for creating
emotionally responsive learning environments in classrooms with limited technological resources.

Key words: Facial Emotion Recognition; Deep Learning; Convolutional Neural Network (CNN); Real time Emotion Detection, Offline deployment


 
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How to Cite this Article
Pubmed Style

Abel P, Aliyu A, Zubair AA. An Emotion-Aware Recommendation System for Student Engagement in Smart Learning Environments Using Facial Emotion Recognition . SJACR. 2026; 6(1): 20-27.

Web Style

Abel P, Aliyu A, Zubair AA. An Emotion-Aware Recommendation System for Student Engagement in Smart Learning Environments Using Facial Emotion Recognition . https://www.sjacrksusta.com/?mno=320923 [Access: May 14, 2026].

AMA (American Medical Association) Style

Abel P, Aliyu A, Zubair AA. An Emotion-Aware Recommendation System for Student Engagement in Smart Learning Environments Using Facial Emotion Recognition . SJACR. 2026; 6(1): 20-27.


Vancouver/ICMJE Style

Abel P, Aliyu A, Zubair AA. An Emotion-Aware Recommendation System for Student Engagement in Smart Learning Environments Using Facial Emotion Recognition . SJACR. (2026), [cited May 14, 2026]; 6(1): 20-27.


Harvard Style

Abel, P., Aliyu, . A. & Zubair, . A. A. (2026) An Emotion-Aware Recommendation System for Student Engagement in Smart Learning Environments Using Facial Emotion Recognition . SJACR, 6 (1), 20-27.


Turabian Style

Abel, Priscilla, Ahmed Aliyu, and Ajoze Abdulraheem Zubair. 2026. An Emotion-Aware Recommendation System for Student Engagement in Smart Learning Environments Using Facial Emotion Recognition . Science Journal of Advanced and Cognitive Research, 6 (1), 20-27.


Chicago Style

Abel, Priscilla, Ahmed Aliyu, and Ajoze Abdulraheem Zubair. "An Emotion-Aware Recommendation System for Student Engagement in Smart Learning Environments Using Facial Emotion Recognition ." Science Journal of Advanced and Cognitive Research 6 (2026), 20-27.


MLA (The Modern Language Association) Style

Abel, Priscilla, Ahmed Aliyu, and Ajoze Abdulraheem Zubair. "An Emotion-Aware Recommendation System for Student Engagement in Smart Learning Environments Using Facial Emotion Recognition ." Science Journal of Advanced and Cognitive Research 6.1 (2026), 20-27. Print.


APA (American Psychological Association) Style

Abel, P., Aliyu, . A. & Zubair, . A. A. (2026) An Emotion-Aware Recommendation System for Student Engagement in Smart Learning Environments Using Facial Emotion Recognition . Science Journal of Advanced and Cognitive Research, 6 (1), 20-27.


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