How Instructors Can Promote Mental Adaptability Among Science, Math, ICT, and TechVoc Learners Facing Heavy Academic Tasks
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Abstract
The increasing academic rigor in Science, Mathematics, ICT, and TechVoc programs has placed substantial cognitive demands on learners, intensifying their susceptibility to mental overload and reduced adaptability. This study explored how instructors perceive students’ mental adaptability under heavy academic tasks and identified instructional practices that support students’ cognitive resilience. Using a qualitative exploratory research design, semi-structured phone-call interviews were conducted with twelve (24) instructors from various tertiary institutions in Mindanao, Philippines. Participants were selected through purposive sampling based on their experience teaching high-demand subjects and handling students exhibiting signs of academic strain. Thematic analysis revealed four primary indicators of declining adaptability: disengagement and loss of focus, disrupted workflow and task-sequencing errors, physical manifestations of cognitive fatigue, and behavioral coping responses such as avoidance or overdependence. Findings further showed that students adapt more quickly to structured, predictable tasks but struggle significantly with concept-heavy, multi-step, or cognitively layered activities, especially when compounded by overlapping deadlines. Instructors reported that effective adaptability support involves slowing instructional pace, breaking tasks into micro-steps, providing mental breaks, offering emotional reassurance, and implementing structured scaffolding through checkpoints. Decisions on whether to push or slow down were informed by cognitive cues, emotional signals, classroom atmosphere, and awareness of students’ cumulative workload. The study concludes that mental adaptability is shaped not only by learners’ intrinsic capacities but also by the responsiveness, judgment, and pedagogical strategies of instructors. It emphasizes the need for context-aware teaching practices and coordinated workload management to preserve cognitive sustainability in high-demand academic environments.