What the stressor-strain-outcome model suggests for students and the people who teach them.
Most advice about social media and studying jumps straight to cutting screen time. The SIET 2023 study on student learning productivity suggests a more careful route. It separates the pressure students feel into distinct types, which means the response can be specific instead of a blanket rule.
The model names three stressors. Each one points at a different part of daily life, so each one calls for a different habit.
Technostress sits in the middle of the chain rather than at the end. It is the point where the pressure of the platform starts to feel like pressure on the person. In the study it leads into exhaustion, and exhaustion is what finally touches learning productivity.
That ordering matters for anyone designing a course or a study routine. A tired student who cannot concentrate may not need more discipline. They may need fewer channels demanding attention at once.
The results come from 100 undergraduate respondents answering one survey, analysed with a Generalized Linear Model. That design can show which factors move together, but it cannot prove that one causes another. It also cannot say how long exhaustion takes to build or to fade.
Even so, the chain the authors describe is a useful checklist. When study time starts shrinking, it is worth asking which link is under strain rather than blaming the phone as a whole.
Shandra Elvyra Sudarsono Putri, Mochamad Chandra Saputra, and Aryo Pinandito (2023). The Effect of Social Media Overload, Exhaustion, and Technostress on Student's Learning Productivity Using Stressor-Strain-Outcome Model. Proceedings of the 8th International Conference on Sustainable Information Engineering and Technology (SIET 2023).
