Journal of Academic Research for Humanities (JARH) is a double-blind, peer-reviewed, Open Free Access, online Multidisciplinary Research Journal
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Vol. 6 No. 2 (2026)
The International "Journal of Academic Research for Humanities"

Research Articles

Application of Cognitive Load Theory in Instructional Design of Online Courses at Pre-Service Teachers’ Training Programs: A Qualitative Cross-Case Evaluation

Published 15-06-2026

  • Amna Jamil
    • ,
  • Afifa Khanam

Amna Jamil
Lecturer, Education, Lahore College for Women University, Lahore, Punjab, Pakistan

Afifa Khanam
Associate Professor, Department of Research and Policy Studies, Faculty of Education, Lahore College for Women University, Lahore, Punjab, Pakistan

Abstract

This study evaluated the application of Cognitive Load Theory (CLT) in the instructional design of tertiary-level online courses. The primary aim was to examine whether and to what extent CLT principles are incorporated into selected online courses. Specifically, the study analyzed the alignment between CLT-based theoretical guidelines and their practical implementation in course design. A qualitative evaluative research design was employed, using a purposive sample of three online courses from the B.Ed. (4-year) programs offered by virtual universities in Pakistan. Three courses, ‘Educational Psychology’, ‘Curriculum Development’, and ‘Comparative Education’, were assessed through a researcher-developed checklist grounded in established CLT principles. The findings revealed a low to moderate level of alignment between the instructional design of the selected courses and CLT principles. This suggests that current online courses do not adequately implement CLT-informed strategies, potentially leading to increased cognitive overload among learners. Based on these findings, the study offers evidence-based recommendations for improving instructional design. These include effective integration of multimedia, scaffolding with gradual fading of guidance, provision of adaptive learning pathways, incorporation of reflective activities, and enhancement of platform usability.

 

Keywords

Cognitive Load Theory, Instructional Design, Online Learning, Tertiary Education, Evaluative Research

PDF

Author Biography

Amna Jamil

PhD Scholar at Lahore College for Women University

References

  1. Ali, N., Ullah, S., & Raees, M. (2023). The effect of task-specific aids on students' performance and minimization of cognitive load in a virtual reality chemistry laboratory. Computer Animation and Virtual Worlds, 34(6), e2194. https://doi.org/10.1002/cav.2194
  2. Asma, H., & Dallel, S. (2020). Cognitive Load Theory and Its Relation to Instructional Design: Perspectives of Some Algerian University Teachers of English. Arab World English Journal, 11(4), 110-127. https://doi.org/10.24093/awej/vol11no4.8
  3. Bali, S., Chen, T.-C., & Liu, M.-C. (2024). Behavioral Intentions of Low-Achieving Students to Use Mobile English Learning. International Journal of Human-Computer Interaction, 1–11. https://doi.org/10.1080/10447318.2024.2364142
  4. Caskurlu, S., Richardson, J. C., Alamri, H. A., Chartier, K., Farmer, T., Janakiraman, S., ... & Yang, M. (2021). Cognitive load and online course quality: Insights from instructional designers in a higher education context. British Journal of Educational Technology, 52(2), 584-605.
  5. Castro-Alonso, J. C., de Koning, B. B., Fiorella, L., & Paas, F. (2021). Five Strategies for Optimizing Instructional Materials: Instructor- and Learner-Managed Cognitive Load. Educational Psychology Review, 33(4). https://doi.org/10.1007/s10648-021-09606-9
  6. Chen, O., Castro-Alonso, J. C., Paas, F., & Sweller, J. (2018). Extending cognitive load theory to incorporate working memory resource depletion: Evidence from the spacing effect. Educational Psychology Review, 30(2), 483-501. https://doi.org/10.1007/s10648-017-9426-2
  7. Chen, O., Woolcott, G., & Sweller, J. (2017). Using cognitive load theory to structure computer‐based learning, including MOOCs. Journal of Computer Assisted Learning, 33(4), 293-305.
  8. Dönmez, O. (2022). A Cognitive Load Perspective to Instructional Design for Online Learning. In Handbook of Research on Managing and Designing Online Courses in Synchronous and Asynchronous Environments (pp. 380-403). IGI Global Scientific Publishing.
  9. Ekin, M., Krejtz, K., Duarte, C., Duchowski, A. T., & Krejtz, I. (2025). Prediction of intrinsic and extraneous cognitive load with oculometric and biometric indicators. Scientific Reports, 15(1), 5213. https://doi.org/10.1038/s41598-025-89336-y
  10. Evans, P., Vansteenkiste, M., Parker, P. D., Kingsford-Smith, A., & Zhou, S. (2024). Cognitive Load Theory and Its Relationships with Motivation: A Self-Determination Theory Perspective. Educational Psychology Review, 36(1). https://doi.org/10.1007/s10648-023-09841-2
  11. Gunbatar, M. S. (2023). Online Flipped Classroom in the Context of Transactional Distance and Cognitive Load: A Mixed-Methods Study. Pakistan Journal of Distance and Online Learning, 9(1), 1-28.
  12. Hazan-Liran, B., & Miller, P. (2024). The Influence of Manipulating and Accentuating Task-Irrelevant Information on Learning Efficiency: Insights for Cognitive Load Theory. Journal of Cognition, 7(1), 36–36. https://doi.org/10.5334/joc.361
  13. Kang, S. H. (2016). Spaced repetition promotes efficient and effective learning: Policy implications for instruction. Policy insights from the behavioral and brain sciences, 3(1), 12-19. https://doi.org/10.1177/2372732215624708
  14. Khanam, A., & Jamil, M. A. (2025). Effect of Cognitive Load Management on Physics Achievement at the Secondary Level. Sir Syed Journal of Education & Social Research (SJESR), 8(1), 11–19. https://doi.org/10.36902/sjesr-vol8-iss1-2025(11-19)
  15. Martella, A. M., Lawson, A. P., & Robinson, D. H. (2024). How scientific is Cognitive Load Theory research compared to the rest of educational psychology? Education Sciences, 14(8), 920. DOI:10.3390/educsci14080920
  16. Mayer, R. E. (2009). Multimedia learning (2nd ed.). New York: Cambridge University Press.
  17. Mushtaq, S., Yasin, G., & Lak, T. A. (2023). Impediments of online learning and teaching during the COVID-19 pandemic: A Case of University Students in Punjab, Pakistan. Annals of Social Sciences and Perspective, 4(1), 103-120. DOI:10.52700/assap. v4i1.247
  18. Noor, S., Ali, M. N., & Husnine, S. M. (2020). Performance of online classes in Lahore, Pakistan, during COVID-19. Performance Improvement, 59(9), 33-42. https://doi.org/10.1002/pfi.21938
  19. Ouwehand, K., Lespiau, F., Tricot, A., & Paas, F. (2025). Cognitive load theory: emerging trends and innovations. Education Sciences, 15(4), 458. https://doi.org/10.3390/educsci15040458
  20. Paas, F., Renkl, A., & Sweller, J. (2010). Cognitive load theory and instructional design: Recent developments. Educational Psychologist, 38(1), 1-4. DOI:10.1207/S15326985EP3801_1
  21. Rind, I. A. (2026). "Conceptualizing the Impact of AI on Teacher Knowledge and Expertise: A Cognitive Load Perspective." Education Sciences 16(1), 57. https://doi.org/10.3390/educsci16010057
  22. Sarwar, H., Akhtar, H., Naeem, M. M., Khan, J. A., Waraich, K., Shabbir, S., & Khurshid, Z. (2020). Self-reported effectiveness of e-Learning classes during the COVID-19 pandemic: A nation-wide survey of Pakistani undergraduate dentistry students. European journal of dentistry, 14(S 01), S34-S43. doi: 10.1055/s-0040-1717000
  23. Skulmowski, A., & Xu, K. M. (2022). Understanding cognitive load in digital and online learning: A new perspective on extraneous cognitive load. Educational psychology review, 34(1), 171-196.
  24. Sortwell, A., Gkintoni, E., Díaz-García, J., Ellerton, P., Ferraz, R., & Hine, G. (2026). Beyond cognitive load theory: Why learning needs more than memory management. Brain Sciences, 16(1), 109. https://doi.org/10.3390/brainsci16010109
  25. Sundararajan, N., & Adesope, O. (2020). Keep it coherent: A meta-analysis of the seductive details effect. Educational Psychology Review, 32(3), 707-734.
  26. Sweller, J. (1988). Cognitive load during problem solving: Effects on learning. Cognitive science, 12(2), 257-285. https://doi.org/10.1207/s15516709cog1202_4
  27. Sweller, J. (1994). Cognitive load theory, learning difficulty, and instructional design. Learning and Instruction, 4(4), 295-312. https://doi.org/10.1016/0959-4752(94)90003-5
  28. Sweller, J. (2005). Implications of cognitive load theory for multimedia learning. The Cambridge handbook of multimedia learning, 3(2), 19-30. https://doi.org/10.1017/CBO9780511816819.003
  29. Sweller, J. (2011). Cognitive load theory. In Psychology of learning and motivation (Vol. 55, pp. 37-76). Academic Press. https://doi.org/10.1016/B978-0-12-387691-1.00002-8
  30. Sweller, J. (2011). Cognitive Load Theory: Recent Theoretical Advances. Cognitive Load Theory, 29–47. https://doi.org/10.1017/cbo9780511844744.004
  31. Sweller, J. (2020). Cognitive load theory and educational technology. Educational technology research and development, 68(1), 1-16. https://doi.org/10.1007/s11423-019-09701-3
  32. Sweller, J., & Chandler, P. (1991). Evidence for cognitive load theory. Cognition and instruction, 8(4), 351-362. https://doi.org/10.1207/s1532690xci0804_5
  33. Taylor, S. (2024). Chapter 03: Message Design for Instructional Designers –Audio and Video Best Practices. ODU Digital Commons. https://digitalcommons.odu.edu/instructional_message_design_vol3/8/
  34. Twabu, K. (2025). Enhancing the cognitive load theory and multimedia learning framework with AI insight. Discover Education, 4(1), 160. https://doi.org/10.1007/s44217-025-00592-6
  35. Ullah, A., Ashraf, M., Ashraf, S., & Ahmed, S. (2021). Challenges of online learning during the COVID-19 pandemic encountered by students in Pakistan. Journal of Pedagogical Sociology and Psychology, 3(1), 36-44. https://doi.org/10.33902/JPSP.2021167264
  36. Van Merriënboer, J. J., & Ayres, P. (2005). Research on cognitive load theory and its design implications for e-learning. Educational Technology Research and Development, 53(3), 5-13.
  37. Van Merriënboer, J. J., & Sweller, J. (2005). Cognitive load theory and complex learning: Recent developments and future directions. Educational Psychology Review, 17(2), 147- 177. DOI:10.1007/s10648-005-3951-0
  38. Waxman, J., Sue, A., & Goldie, J. (2025). Perspectives from the CHDS Media Hub Cognitive Theory of Multimedia Learning. Centre for Health Decision Science, Harvard T.H Chan School of Public Health
  39. Zhang, S., Liu, L., Ding, S., Peng, T., Wang, J., & Wu, Y. (2025). Mediator effects of cognitive load on the relationship between task complexity and guideline adherence among clinical nurses: a cross-sectional survey of nurses in China. Journal of Research in Nursing, 30(5-6), 479-490. doi: 10.1177/17449871251329197
  40. Zou, L., Zhang, Z., Mavilidi, M., Chen, Y., Herold, F., Ouwehand, K., & Paas, F. (2025). The synergy of embodied cognition and cognitive load theory for optimized learning. Nature Human Behaviour, 9(5), 877-885. https://doi.org/10.1038/s41562-025-02152-2