Digital Distraction and Study Habits as Predictors of Critical Thinking Skills in English Among Grade 7 Learners of Bigaan National High School, Division of Surigao del Sur: A Predictive-Correlational Study
DOI:
https://doi.org/10.5281/zenodo.22954558Keywords:
critical thinking, digital distraction, English learning, Grade 7 learners, predictive-correlational, study habitsAbstract
This quantitative predictive-correlational study determined whether digital distraction and study habits were associated with and jointly predicted critical thinking skills in English among Grade 7 learners of Bigaan National High School, Division of Surigao del Sur. Thirty-six learners with complete and valid responses participated through purposive selection of the grade level followed by an attempt at total enumeration. Digital distraction and study habits were measured through an adapted and contextualized Digital Distraction and Study Habits Questionnaire, while critical thinking was assessed using a researcher-made Grade 7 English Critical Thinking Skills Test. Weighted means, standard deviations, rank ordering, frequency and percentage distributions, Pearson product-moment correlations, and multiple linear regression were used. Digital distraction was very high, while study habits were moderate. The mean critical thinking score was 21.0286 out of 50 (42.06%), with performance concentrated in the Developing and Beginning levels. Digital distraction was significantly and negatively related to critical thinking, whereas study habits were significantly and positively related to critical thinking. The combined regression model was significant, F (2, 32) = 10.12, p = 0.000393, explaining 38.75% of the variance in critical thinking scores (R² = 0.3875). The findings indicate that managing digital distraction and strengthening structured study routines are relevant school-based directions for supporting higher-order English reasoning.
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References
Anderson, L. W., & Krathwohl, D. R. (Eds.). (2001). A taxonomy for learning, teaching, and assessing: A revision of Bloom’s taxonomy of educational objectives. Longman.
Buctot, D. B., Kim, N., & Kim, S. (2020). Factors associated with smartphone addiction prevalence and its predictive capacity for health-related quality of life among Filipino adolescents. Children and Youth Services Review, 110, 104758. https://doi.org/10.1016/j.childyouth.2019.104758
Department of Education. (2019). PISA 2018 Philippine national report. https://www.deped.gov.ph/wp-content/uploads/2019/12/PISA-2018-Philippine-National-Report.pdf
Facione, P. A. (1990). Critical thinking: A statement of expert consensus for purposes of educational assessment and instruction (The Delphi Report). California Academic Press. https://eric.ed.gov/?id=ED315423
Flavell, J. H. (1979). Metacognition and cognitive monitoring: A new area of cognitive–developmental inquiry. American Psychologist, 34(10), 906–911. https://doi.org/10.1037/0003-066X.34.10.906
Kahneman, D. (1973). Attention and effort. Prentice-Hall.
Kuş, M. (2025). A meta-analysis of the impact of technology-related factors on students’ academic performance. Frontiers in Psychology. https://www.frontiersin.org/journals/psychology/articles/10.3389/fpsyg.2025.1524645
Kwon, M., Kim, D.-J., Cho, H., & Yang, S. (2013). The Smartphone Addiction Scale: Development and validation of a short version for adolescents. PLOS ONE, 8(12), e83558. https://doi.org/10.1371/journal.pone.0083558
Martin, F., Long, S., Haywood, K., & Xie, K. (2025). Digital distractions in education: A systematic review of research on causes, consequences and prevention strategies. Educational Technology Research and Development. https://doi.org/10.1007/s11423-025-10550-6
Mayen, S., Reinhardt, A., & Wilhelm, C. (2025). The complexities of digital media use in adolescents’ learning and academic performance: An experience sampling study. Computers & Education, 238, 105411. https://doi.org/10.1016/j.compedu.2025.105411
OECD. (2019). PISA 2018 assessment and analytical framework. OECD Publishing. https://doi.org/10.1787/b25efab8-en
OECD. (2023). PISA 2022 results: Country notes—Philippines. https://www.oecd.org/en/publications/pisa-2022-results-volume-i-and-ii-country-notes_ed6fbcc5-en/philippines_a0882a2d-en.html
Ophir, E., Nass, C., & Wagner, A. D. (2009). Cognitive control in media multitaskers. Proceedings of the National Academy of Sciences of the United States of America, 106(37), 15583–15587. https://doi.org/10.1073/pnas.0903620106
Palsane, M. N., & Sharma, S. (1989). Palsane and Sharma Study Habit Inventory (PSSHI). National Psychological Corporation.
Panadero, E. (2017). A review of self-regulated learning: Six models and four directions for research. Frontiers in Psychology, 8, 422. https://doi.org/10.3389/fpsyg.2017.00422
Pyhältö, K., Rekola, H., Salovuori, S., Kosola, S., & Anttila, H. (2025). The relationship between academic achievement and off-task social media and smartphone usage: Evidence from a systematic literature review. Acta Psychologica, 260, 105645. https://doi.org/10.1016/j.actpsy.2025.105645
Rosen, L. D., Whaling, K., Carrier, L. M., Cheever, N. A., & Rokkum, J. (2013). The Media and Technology Usage and Attitudes Scale: An empirical investigation. Computers in Human Behavior, 29(6), 2501–2511. https://doi.org/10.1016/j.chb.2013.06.006
Sweller, J. (1988). Cognitive load during problem solving: Effects on learning. Cognitive Science, 12(2), 257–285. https://doi.org/10.1207/s15516709cog1202_4
Valente, S., Lourenço, A. A., & Paiva, M. O. (2024). Planning time management in school activities and relation to procrastination: A study for educational sustainability. Sustainability, 16(16), 6883. https://doi.org/10.3390/su16166883
Walck-Shannon, E. M., Rowell, S. F., & Frey, R. F. (2021). To what extent do study habits relate to performance? CBE—Life Sciences Education, 20(3), ar40. https://www.lifescied.org/doi/10.1187/cbe.20-05-0091
Zimmerman, B. J. (2002). Becoming a self-regulated learner: An overview. Theory Into Practice, 41(2), 64–70. https://doi.org/10.1207/s15430421tip4102_2
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