International Journal For Multidisciplinary Research

E-ISSN: 2582-2160     Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 8, Issue 2 (March-April 2026) Submit your research before last 3 days of April to publish your research paper in the issue of March-April.

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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