Technology Acceptance and Behavioural Patterns of Educational App Use Among Indian Engineering Students: An Empirical Study


Authors : Rohit L. Shrivastava; Anshika Rai; Rajay Vedaraj I. S.

Volume/Issue : Volume 10 - 2025, Issue 10 - October


Google Scholar : https://tinyurl.com/4t9p7sth

Scribd : https://tinyurl.com/5c9kk6fu

DOI : https://doi.org/10.38124/ijisrt/25oct1036

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Abstract : The increasing availability of educational mobile applications has significantly influenced learning experiences (Al Emran, 2024), especially for students in engineering disciplines. To optimise the use of such technologies in academic contexts, it is important to understand how learners engage with these tools and the behavioural factors that shape their usage. This study examines educational app adoption among Indian engineering students, focusing on usage habits, perceived usefulness, and possible signs of overuse. A quantitative online survey was administered to collect demographic information and responses to established measurement scales, including the Technology Acceptance Model (TAM) (Davis, 1989) (Young, 1998), Internet Addiction Test (IAT) (Davis, 1989) (Young, 1998), and a culturally adapted stress scale. The dataset was analysed using Cronbach’s alpha for reliability testing, along with correlation and group comparison analyses. The results indicate good internal consistency for TAM and the Indian Context scales (α = 0.75 and 0.80) and moderate reliability for the IAT (α = 0.33). No significant associations were observed between app usage time and other scale scores, and demographic factors such as gender and year of study showed no meaningful differences. These findings suggest that while students display moderate acceptance of educational apps, their usage remains largely healthy and non-addictive. Nonetheless, cultural and infrastructural constraints continue to influence engagement levels, offering insights for educators and developers seeking to enhance technology-supported learning.

Keywords : Educational Apps, Technology Acceptance, Internet Addiction, Engineering Students, India.

References :

  1. Aaradhi, V. (2024). Educational Technology Adoption in India: Theory of Consumption Values Perspective. Prabandhan: Indian Journal of Management, 48-68.
  2. Al Emran, M. &. (2024). Determinants of Mobile Learning Adoption in Higher Education: A Systematic Review and Meta-analysis. Education and Information Technologies, 1523-1547.
  3. Cronbach, L. J. (1951). Coefficient Alpha and the Internal Structure of Tests. Psychometrika, 297-334.
  4. Dash, S. (2022). Uses and gratifications of educational apps: A study during COVID-19 pandemic in India. Heliyon, 8836.
  5. Davis, F. D. (1989). User Acceptance of Computer Technology: A Comparison of Two Theoretical Models. Management Science, 982-1003.
  6. Dinh, K. P. (2025). Unpacking the adoption and use of mobile education apps: A multi-group analysis by application type and learning motivation. Heliyon, 24705.
  7. Elshafey, R. (2020). Application of Augmented Reality in STEM Education Using TAM Framework. Computers in Human Behavior, 106119.
  8. Kesharwani, A. &. (2023). Examining Risk of Mobile Learning Overuse Using Internet Addiction Test in Indian Context. Indian Journal of Behavioural Science, 221-236.
  9. Kim, S. P. (2023). Understanding Mobile App Use in Engineering Education Through TAM and UTAUT2. Computers & Education.
  10. Medikonda, S. (2025). Cultural Adaptation of Educational Technology Scales for Indian Students. Journal of Learning Analytics, 45-59.
  11. Menon, S. (2022). An Overview of Indian MOOCs: Evolution, Statistics, and Impact on Higher Education. Tenth Annual Journal of the Suryadatta College of Management, 65-80.
  12. Spoorthy, M. S. (2020). Overuse of Digital Technology Among Youth: Emerging Patterns and Implications. Indian Journal of Social Psychiatry, 102-110.
  13. Tavakol, M. &. (2021). Making Sense of Cronbach’s Alpha. International Journal of Medical Education, 53-55.
  14. Tiwari, A. &. (2025). Digital Learning Behaviours of Indian Engineering Students: A Cross-sectional Analysis. Indian Journal of Educational Psychology, 118-131.
  15. Venkatesh, V. T. (2023). Unified Theory of Acceptance and Use of Technology (UTAUT2): Review and Reassessment. MIS Quarterly, 705-749.
  16. Young, K. S. (1998). Internet Addiction: The Emergence of a New Clinical Disorder. Cyber Psychology & Behavior, 237-244.

The increasing availability of educational mobile applications has significantly influenced learning experiences (Al Emran, 2024), especially for students in engineering disciplines. To optimise the use of such technologies in academic contexts, it is important to understand how learners engage with these tools and the behavioural factors that shape their usage. This study examines educational app adoption among Indian engineering students, focusing on usage habits, perceived usefulness, and possible signs of overuse. A quantitative online survey was administered to collect demographic information and responses to established measurement scales, including the Technology Acceptance Model (TAM) (Davis, 1989) (Young, 1998), Internet Addiction Test (IAT) (Davis, 1989) (Young, 1998), and a culturally adapted stress scale. The dataset was analysed using Cronbach’s alpha for reliability testing, along with correlation and group comparison analyses. The results indicate good internal consistency for TAM and the Indian Context scales (α = 0.75 and 0.80) and moderate reliability for the IAT (α = 0.33). No significant associations were observed between app usage time and other scale scores, and demographic factors such as gender and year of study showed no meaningful differences. These findings suggest that while students display moderate acceptance of educational apps, their usage remains largely healthy and non-addictive. Nonetheless, cultural and infrastructural constraints continue to influence engagement levels, offering insights for educators and developers seeking to enhance technology-supported learning.

Keywords : Educational Apps, Technology Acceptance, Internet Addiction, Engineering Students, India.

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Paper Submission Last Date
31 - December - 2025

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