International Journal For Multidisciplinary Research
E-ISSN: 2582-2160
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A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
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Volume 8 Issue 2
March-April 2026
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Automation Tool Usage and Time Management Efficiency Among Students: A Quantitative Correlational Study
| Author(s) | Manas Poddar |
|---|---|
| Country | India |
| Abstract | In today’s increasingly complex academic environment, students face elevated demands for multitasking and effective time management. This study investigates whether frequent use of automation tools, such as digital calendars, AI-based planners, and productivity applications, enhances students’ time management efficiency. A quantitative, correlational research design was used to assess self-reported behaviors of 69 students aged 16 to 25. Data were collected through a structured questionnaire assessing both automation tool usage and time management skills. Descriptive statistics and Pearson’s correlation analysis were employed using IBM SPSS software. Results revealed a very weak and statistically insignificant relationship between automation usage frequency and time management performance (r = 0.043, p = .671). These findings suggest that tool frequency alone does not predict time management success. The discussion highlights potential reasons for these results, including inconsistent tool usage, superficial engagement, and the need for reflective, structured application. The study contributes to a growing body of literature on educational technology by suggesting that automation tools may support time management only when paired with intentional strategies. Implications for educators, students, and app developers are discussed, along with recommendations for future research. |
| Keywords | automation tools, time management, academic efficiency, educational technology, self-regulated learning, cognitive load theory |
| Field | Computer > Artificial Intelligence / Simulation / Virtual Reality |
| Published In | Volume 8, Issue 1, January-February 2026 |
| Published On | 2026-01-25 |
| DOI | https://doi.org/10.36948/ijfmr.2026.v08i01.67123 |
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E-ISSN 2582-2160
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IJFMR DOI prefix is
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