⚠ Official Notice: www.ijisrt.com is the official website of the International Journal of Innovative Science and Research Technology (IJISRT) Journal for research paper submission and publication. Please beware of fake or duplicate websites using the IJISRT name.



The Multifaceted Effects of Smart Device Usage on English Majors’ Learning Outcomes: A Case Study at Ha Tinh University


Authors : Hoàng Diệp Anh

Volume/Issue : Volume 11 - 2026, Issue 4 - April


Google Scholar : https://tinyurl.com/44uy5adc

Scribd : https://tinyurl.com/2s4642yh

DOI : https://doi.org/10.38124/ijisrt/26apr1072

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.


Abstract : This study examines how English majors at Ha Tinh University use smart devices in their learning, focusing on their impacts, students’ self-regulation, and suggested strategies. Grounded in Bloom’s Taxonomy and Self-Regulated Learning Theory, the research adopts a mixed-method approach, combining questionnaire data with in-depth interviews. Findings indicate that smart devices have both positive and negative effects on learning outcomes. They effectively support lower-order cognitive skills such as remembering and understanding, and facilitate the application of knowledge. They also contribute to higher-order skills, including analyzing, evaluating, and creating. However, overreliance on tools such as translation applications may hinder deep thinking. From the perspective of self-regulated learning, students demonstrate some efforts in planning, monitoring, and reviewing their learning. Nevertheless, many struggle to manage distractions and maintain consistent self-control. The study suggests several strategies to enhance effective use, including technical control measures, structured learning approaches, and improved self-discipline. Overall, while smart devices offer significant benefits, their effectiveness largely depends on students’ ability to regulate their own learning.

Keywords : Smart Devices; Bloom’s Taxonomy; Self-Regulated Learning; Academic Performance; Distraction.

References :

  1. Piaget, J. (1972). The psychology of the child (H. Weaver, Trans.). Basic Books. (Original work published 1966)
  2. Sweller, J. (1988). Cognitive load during problem solving: Effects on learning. Cognitive Science, 12(2), 257–285.
  3. Zimmerman, B. J. (2000). Attaining self-regulation: A social cognitive perspective. In M. Boekaerts, P. R. Pintrich, & M. Zeidner (Eds.), Handbook of self-regulation (pp. 13–39). Academic Press
  4. Gökçearslan, Ş., Mumcu, F. K., Haşlaman, T., & Çevik, Y. D. (2016). Modelling smartphone addiction: The role of smartphone usage, self-regulation, general self-efficacy and cyberloafing in university students. Computers in Human Behavior, 63, 639–649.
  5. Anderson, L. W., & Krathwohl, D. R. (2001). A taxonomy for learning, teaching, and assessing: A revision of Bloom’s taxonomy of educational objectives. Longman.
  6. Bloom, B. S. (1956). Taxonomy of educational objectives: The classification of educational goals (Handbook I: Cognitive domain). Longmans, Green.
  7. Chen, Q., & Yan, Z. (2016). Does multitasking with mobile phones affect learning? A review. Computers in Human Behavior, 54, 34–42.
  8. Jonassen, D. H. (1999). Designing constructivist learning environments. In C. M. Reigeluth (Ed.), Instructional-design theories and models: A new paradigm of instructional theory (Vol. 2, pp. 215–239). Lawrence Erlbaum Associates.
  9. Kirschner, P. A., Sweller, J., & Clark, R. E. (2006). Why minimal guidance during instruction does not work. Educational Psychologist, 41(2), 75–86.
  10. Pintrich, P. R. (2004). A conceptual framework for assessing motivation and self-regulated learning. Educational Psychology Review, 16(4), 385–407.
  11. Vygotsky, L. S. (1978). Mind in society: The development of higher psychological processes. Harvard University Press.
  12. Broadbent, J., & Poon, W. L. (2015). Self-regulated learning strategies and academic achievement in online learning environments: A systematic review. Internet and Higher Education, 27, 1–13.

This study examines how English majors at Ha Tinh University use smart devices in their learning, focusing on their impacts, students’ self-regulation, and suggested strategies. Grounded in Bloom’s Taxonomy and Self-Regulated Learning Theory, the research adopts a mixed-method approach, combining questionnaire data with in-depth interviews. Findings indicate that smart devices have both positive and negative effects on learning outcomes. They effectively support lower-order cognitive skills such as remembering and understanding, and facilitate the application of knowledge. They also contribute to higher-order skills, including analyzing, evaluating, and creating. However, overreliance on tools such as translation applications may hinder deep thinking. From the perspective of self-regulated learning, students demonstrate some efforts in planning, monitoring, and reviewing their learning. Nevertheless, many struggle to manage distractions and maintain consistent self-control. The study suggests several strategies to enhance effective use, including technical control measures, structured learning approaches, and improved self-discipline. Overall, while smart devices offer significant benefits, their effectiveness largely depends on students’ ability to regulate their own learning.

Keywords : Smart Devices; Bloom’s Taxonomy; Self-Regulated Learning; Academic Performance; Distraction.

Paper Submission Last Date
31 - May - 2026

SUBMIT YOUR PAPER CALL FOR PAPERS
Video Explanation for Published paper

Never miss an update from Papermashup

Get notified about the latest tutorials and downloads.

Subscribe by Email

Get alerts directly into your inbox after each post and stay updated.
Subscribe
OR

Subscribe by RSS

Add our RSS to your feedreader to get regular updates from us.
Subscribe