Integrating Environmental Sensors and Real Time Feedback for Enhanced Study Productivity

Abstract

Background Environmental factors–ambient noise, insufficient lighting, and thermal discomfort–measurably impair adolescent cognitive performance, yet high school students studying at home typically lack tools to monitor these conditions systematically. No prior study has examined real time, multi sensor environmental feedback as a focus intervention for this population. Objective This study tested whether real time environmental feedback from a low cost IoT system would improve self reported focus in high school students studying at home. Methods A within subjects repeated measures design enrolled 20 high school students (ages 15–17; 10 female, 10 male) from one school in Alpharetta, Georgia. Participants completed counterbalanced intervention and baseline weeks over three weeks. Self reported focus (1–10 Likert scale) was the primary outcome; environmental comfort (1–5 Likert) and active adjustment frequency were secondary. Paired comparisons used the Wilcoxon signed rank test (α = 0.05), with Cohen’s d as the effect size metric. Results Under normal conditions, mean focus rose from 5.3 ± 1.1 to 6.9 ± 0.9 (30.2%; p < .01; d = 1.28). Under suboptimal conditions, scores improved from 4.0 ± 1.3 to 5.6 ± 1.1 (40.0%; p < .01; d = 1.19). Participants who made active environmental adjustments showed greater gains than those who did not (2.1 vs. 0.9 points; p = .03). Conclusion Real time environmental feedback produced large improvements in self reported study focus, with greater gains under suboptimal conditions. Findings support environmental scaffolding as a practical self regulation tool for adolescents. The single school convenience sample limits generalizability; a randomized controlled trial with a larger, diverse sample is warranted.

Keywords

Applied Science - Computer Science

Citation

Publication Details

ISSN: Online ISSN: 3143-5653

License: Author-retained; open access display by NSRI unless a separate article license states otherwise.

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AI disclosure: No AI disclosure is attached to this public record unless stated in the manuscript.

Conflict of interest statement: No conflict of interest statement is attached to this public record unless stated in the manuscript.

References

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