A survey of 100 students traces how overload turns into exhaustion and lower learning productivity.
Social media can be genuinely useful for students. It is where they ask about assignments, trade notes, find explanations, and keep in touch with classmates. The same channels, used without pause, also wear people down. A study presented at SIET 2023 set out to trace that trade-off with a model rather than a hunch.
The team used the Stressor-Strain-Outcome model, a framework that separates the pressure people face, the internal strain it produces, and the outcome that follows. Each part was measured with a survey of 100 undergraduate students and analysed with a Generalized Linear Model.
Not every link in the chain behaved the same way. The analysis found a set of significant paths rather than one single cause.
The practical reading is that the problem is cumulative. Constant notifications and endless feeds do not damage learning in one step. They build strain, strain builds fatigue, and fatigue finally shows up in how much work a student gets done.
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).
