D. Plese1, M. Togonal2
This study explores how the shift to online learning impacts student motivation, examining fluctuations in motivation levels, demographic influences, and the factors driving these changes. Using survey data from a diverse sample of university students across disciplines, the research analyzes motivational differences between online and traditional in-person learning and the extent to which students seek support during online learning.
The study applies a mixed-methods approach, combining quantitative and qualitative data to capture motivational trends and personal experiences. Descriptive and frequency analyses reveal that many students maintain or even increase motivation due to online learning’s flexible structure, particularly valuing asynchronous options and the convenience of remote access. Flexibility and accessibility emerge as significant motivators, especially for students who benefit from balancing academic, work, and personal commitments.
Conversely, the research highlights a subset of students experiencing reduced motivation, often due to the lack of direct interaction and structured environments that traditional classes offer. Students who prioritize real-time feedback and in-person connections report feeling isolated, which can lead to disengagement. Demographic factors, including age, field of study, and prior online learning experience, also affect motivational responses; for instance, students in practical disciplines report greater adaptation challenges, whereas those in theoretical fields show smoother transitions.
Support-seeking behaviors differ among students, with those experiencing decreased motivation more likely to seek help from peers, family, or institutional resources. The presence of accessible support networks proves crucial for maintaining engagement and well-being, suggesting that online learning frameworks should incorporate supportive elements to address these needs.
The findings have implications for educators and institutions aiming to sustain student motivation in digital learning. Recommendations include fostering flexibility with asynchronous options, simulating in-person interaction through collaborative elements, and establishing robust support systems. By identifying motivators and challenges, this study provides insights for designing online learning environments that enhance motivation and accommodate diverse student needs.
Keywords: Student motivation, Online learning, Traditional classroom, Remote education, Learning engagement.