sajm






Impact of the Learning Environmental Factors on Group Engagement: A Deep Learning Approach

Sumanth P Desai1, M M Munshi2, Sanjay V Hanji3 and Chakradhar Pabba4

DOI: https://10.62206/sajm.31.6.2024.150-173

PUBLISHED :25 March 2025

Abstract

This study explores the influence of classroom learning environment factors on group engagement. The study investigates the impact of time of class, type of subject, and instructional methods on group engagement of first year MBA students. This research utilized computer vision and deep learning techniques to measure group engagement through facial expressions. The findings of this study revealed a significant difference in group engagement between morning and afternoon classes, highlighting the importance of considering circadian rhythms in educational practices. Surprisingly, no significant variance was found based on the type of subject, challenging the previous literature suggesting that problematic subjects foster higher engagement. This study also identified collaborative learning as the most effective instructional method, followed by blended learning, which outperformed traditional learning. This research introduces a methodological innovation that offers practical insights for educators and policymakers in developing well-rounded students. It lays the groundwork for future research, emphasizing the need for broader artificial intelligence applications in educational research and practice.

Key Words

Group engagement, Deep learning, Instruction methods, Time of class, Type of subject

Author Biography

Sumanth P Desai1
Research Scholar, Department of Management studies, Visvesvaraya Technological University, Belagavi, Karnataka, India & Assistant Professor, KLS Institute of Management Education and Research, Belagavi, Karnataka, India; and is the corresponding auhtor. E-mail: This e-mail address is being protected from spambots. You need JavaScript enabled to view it

M M Munshi2
Associate Professor, Department of Management Studies, Visvesvaraya Technological University, Belagavi, Karnataka, India. E-mail: This e-mail address is being protected from spambots. You need JavaScript enabled to view it

Sanjay V Hanji3
Associate Professor, MIT Vishwaprayag University Solapur, Maharashtra. E-mail: This e-mail address is being protected from spambots. You need JavaScript enabled to view it

Chakradhar Pabba4
Senior Assistant Professor, Department of Computer Science and Engineering, Faculty of Science & Techonology, IFHE, Hyderabad, Telangana, India. E-mail: This e-mail address is being protected from spambots. You need JavaScript enabled to view it

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