12 January 2024 | Olusiji Adebola Lasekan, Vengalarao Pachava, Margot Teresa Godoy Pena, Siva Krishna Golla, and Mariya Samreen Raje
This study investigates the factors influencing students' engagement in sustainable online education, focusing on cognitive, social, and teaching presence. A mixed-methods approach was used, involving a structured questionnaire administered to 452 university students to identify factors affecting their participation in online classes. The CHAID decision tree algorithm was applied to analyze the data, revealing that the quality of course content is a key cognitive predictor of student engagement. A significant proportion of students (61.7%) demonstrated high engagement with faculty content due to its quality. Social presence was influenced by having a designated private space (69.2%) and the requirement to use webcams, which enhanced engagement. Teaching presence was linked to interactive classrooms and timely feedback from teachers. The findings emphasize the importance of high-quality course materials, interactive classes, and a distraction-free environment for optimizing student engagement. The study also highlights the role of private rooms in reducing distractions and enhancing focus, as well as the significance of webcam use in promoting social presence and engagement. The research underscores the need for educators to prioritize content quality, interactive teaching methods, and supportive learning environments to enhance student engagement in online education. The study's findings contribute to the understanding of factors that influence student engagement in sustainable online learning, providing practical insights for improving online educational experiences.This study investigates the factors influencing students' engagement in sustainable online education, focusing on cognitive, social, and teaching presence. A mixed-methods approach was used, involving a structured questionnaire administered to 452 university students to identify factors affecting their participation in online classes. The CHAID decision tree algorithm was applied to analyze the data, revealing that the quality of course content is a key cognitive predictor of student engagement. A significant proportion of students (61.7%) demonstrated high engagement with faculty content due to its quality. Social presence was influenced by having a designated private space (69.2%) and the requirement to use webcams, which enhanced engagement. Teaching presence was linked to interactive classrooms and timely feedback from teachers. The findings emphasize the importance of high-quality course materials, interactive classes, and a distraction-free environment for optimizing student engagement. The study also highlights the role of private rooms in reducing distractions and enhancing focus, as well as the significance of webcam use in promoting social presence and engagement. The research underscores the need for educators to prioritize content quality, interactive teaching methods, and supportive learning environments to enhance student engagement in online education. The study's findings contribute to the understanding of factors that influence student engagement in sustainable online learning, providing practical insights for improving online educational experiences.