Yener Yildiz; Tayfun Yoruk

The Mediating Role of Cognitive Control and Flexibility on Load and Usability in Distance Education

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Author(s)

Yener Yildiz ¹ Tayfun Yoruk ^2,*

1. Computer Engineer, Department of Management Information Systems, Akdeniz University, Antalya, Turkey

2. Department of Management Information Systems, Akdeniz University, Antalya, Turkey

* Corresponding author.

DOI: https://doi.org/10.5815/ijmecs.2026.04.10

Received: 30 Dec. 2025 / Revised: 28 Jan. 2026 / Accepted: 18 Feb. 2026 / Published: 8 Aug. 2026

Index Terms

Distance Learning, Online Learning Platforms, Perceived System Usability, Cognitive Load, Cognitive Control and Flexibility

Abstract

The focus of this research is on the process of conducting distance education online, which is undergoing rapid transformation due to the impact of digitalization. The primary objective is to examine how cognitive load arising during online distance learning affects the perceived system usability, and the role of cognitive control and flexibility in this relationship. By revealing the direct and indirect effects of cognitive load, the study aims to contribute to the improvement of online education platforms in terms of user experience. The research was conducted on online courses taken by Akdeniz University students via the Microsoft Teams platform. Cognitive control and flexibility were measured using the Cognitive Control and Flexibility Scale, cognitive load was measured using the NASA-TLX, and the perceieved system usability was determined using the System Usability Scale. The findings show that, as cognitive load increases, perceived system usability decreases; conversely, this perception increases with higher cognitive control and flexibility. Furthermore, it was determined that cognitive load indirectly affects system usability via cognitive control and flexibility. Consequently, online education systems should be designed to reduce users’ cognitive load while supporting their cognitive control and flexibility.

Cite This Paper

Yener Yıldız, Tayfun Yörük, "The Mediating Role of Cognitive Control and Flexibility on Load and Usability in Distance Education", International Journal of Modern Education and Computer Science(IJMECS), Vol.18, No.4, pp. 168-181, 2026. DOI:10.5815/ijmecs.2026.04.10

Reference

[1]O. Cetin, M. Cakiroglu, C. Bayılmış, and H. Ekiz, ‘The Importance of Education for Technological Development and the Role of Internet-Based Learning in Education’, Jun. 21, 2023, arXiv: arXiv:2306.12082. doi: 10.48550/arXiv.2306.12082.
[2]M. Tayebinik and M. Puteh, ‘Blended Learning or E-learning?’, Jun. 18, 2013, arXiv: arXiv:1306.4085. doi: 10.48550/arXiv.1306.4085.
[3]B. Shneiderman, C. Plaisant, and M. Cohen, Designing the user interface: strategies for effective human-computer interaction, 6th edn. USA: Pearson, 2016.
[4]J. Daniel, ‘QUALITY ASSURANCE AND ACCREDITATION IN DISTANCE EDUCATION AND E-LEARNING Models, Policies and Research FOREWORD’, QUALITY ASSURANCE AND ACCREDITATION IN DISTANCE EDUCATION AND E-LEARNING: MODELS, POLICIES AND RESEARCH. in Open and Flexible Learning Series. ROUTLEDGE, 11 NEW FETTER LANE, LONDON EC4P 4EE, ENGLAND, p. XIII–XVI, 2012.
[5]M. Özgöl, İ. Sarikaya, and M. Öztürk, ‘Örgün eğitimde uzaktan eğitim uygulamalarına ilişkin öğrenci ve öğretim elemanı değerlendirmeleri’, Yükseköğretim ve Bilim Dergisi, no. 2, pp. 294–304, 2017.
[6]M. Al Ghalayini, J. Antoun, and N. M. Moacdieh, ‘Too much or too little? Investigating the usability of high and low data displays of the same electronic medical record’, Health Informatics J, vol. 26, no. 1, pp. 88–103, Mar. 2020, doi: 10.1177/1460458218813725.
[7]J. Sweller, ‘Cognitive load during problem solving: Effects on learning’, Cognitive science, vol. 12, no. 2, pp. 257–285, 1988.
[8]J. Nielsen, Usability engineering. Morgan Kaufmann, 1994.
[9]J. F. Dumas and J. C. Redish, A practical guide to usability testing. Greenwood Publishing Group Inc., 1993. Accessed: Dec. 02, 2025. [Online]. Available: https://dl.acm.org/doi/abs/10.5555/573014
[10]D. Benyon, P. Turner, and S. Turner, Designing interactive systems: People, activities, contexts, technologies. Pearson Education, 2005.
[11]H. Kanis, ‘Usage centred research for everyday product design’, Applied ergonomics, vol. 29, no. 1, pp. 75–82, 1998.
[12]P. P. M. Hekkert and H. N. Schifferstein, ‘Introducing product experience’, in Product experience, Elsevier, 2008, pp. 1–8. Accessed: Dec. 02, 2025. [Online]. Available: https://research.tudelft.nl/en/publications/introducing-product-experience
[13]R. Kumar, D. Nagpal, V. Naik, and D. Chakraborty, ‘Comparison of popular video conferencing apps using client-side measurements on different backhaul networks’, in Proceedings of the Twenty-Third International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing, Seoul Republic of Korea: ACM, Oct. 2022, pp. 241–246. doi: 10.1145/3492866.3557734.
[14]A. W. A. Wibowo, B. D. Rahmawati, and H. Mastrisiswadi, ‘Video conferencing as a face-to-face online meeting app: User preference based on usability testing’, J. Sist. dan Manaj. Ind, vol. 5, no. 2, pp. 98–104, 2021.
[15]D. A. Norman, The psychology of everyday things. Basic books, 1988.
[16]S. Krug, Don’t make me think!: a common sense approach to Web usability. Pearson Education India, 2000.
[17]P. Chandler and J. Sweller, ‘Cognitive Load Theory and the Format of Instruction’, Cognition and Instruction, vol. 8, no. 4, pp. 293–332, Dec. 1991, doi: 10.1207/s1532690xci0804_2.
[18]F. Paas, J. E. Tuovinen, H. Tabbers, and P. W. Van Gerven, ‘Cognitive load measurement as a means to advance cognitive load theory’, in Cognitive load theory, Routledge, 2016, pp. 63–71. Accessed: Apr. 08, 2025. [Online]. Available: https://www.taylorfrancis.com/chapters/edit/10.4324/9780203764770-8/cognitive-load-measurement-means-advance-cognitive-load-theory-fred-paas-juhani-tuovinen-huib-tabbers-pascal-van-gerven
[19]J. Sweller, ‘Cognitive load during problem solving: Effects on learning’, Cognitive science, vol. 12, no. 2, pp. 257–285, 1988.
[20]A. S. Demirtaş, ‘Stresli durumlarda bilişsel kontrol ve bilişsel esneklik: Bir ölçek uyarlama çalışması’, Psikoloji Çalışmaları, vol. 39, no. 2, pp. 345–368, 2019.
[21]R. F. Baumeister, E. Bratslavsky, M. Muraven, and D. M. Tice, ‘Ego depletion: Is the active self a limited resource?’, in Self-regulation and self-control, Routledge, 2018, pp. 16–44. Accessed: Jan. 31, 2026. [Online]. Available: https://www.taylorfrancis.com/chapters/edit/10.4324/9781315175775-1/ego-depletion-roy-baumeister-ellen-bratslavsky-mark-muraven-dianne-tice
[22]M. J. Kane and R. W. Engle, ‘The role of prefrontal cortex in working-memory capacity, executive attention, and general fluid intelligence: An individual-differences perspective’, Psychonomic Bulletin & Review, vol. 9, no. 4, pp. 637–671, Dec. 2002, doi: 10.3758/BF03196323.
[23]R. L. Gabrys, N. Tabri, H. Anisman, and K. Matheson, ‘Cognitive control and flexibility in the context of stress and depressive symptoms: The cognitive control and flexibility questionnaire’, Frontiers in psychology, vol. 9, p. 2219, 2018.
[24]A. Diamond, ‘Executive Functions’, Annu. Rev. Psychol., vol. 64, no. 1, pp. 135–168, Jan. 2013, doi: 10.1146/annurev-psych-113011-143750.
[25]A. I. Martins, A. G. Silva, J. Pais, V. T. Cruz, and N. P. Rocha, ‘The impact of users’ cognitive function on evaluator perceptions of usability’, Scientific Reports, vol. 12, no. 1, p. 13753, 2022.
[26]A. F. Hayes, Introduction to mediation, moderation, and conditional process analysis: A regression-based approach. Guilford publications, 2017.
[27]R. M. Baron and D. A. Kenny, ‘The moderator–mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations"‘, Journal of personality and social psychology, vol. 51, no. 6, p. 1173, 1986.
[28]K. J. Preacher and A. F. Hayes, ‘Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models’, Behavior research methods, vol. 40, no. 3, pp. 879–891, 2008.
[29]M. S. Fritz and D. P. MacKinnon, ‘Required Sample Size to Detect the Mediated Effect’, Psychol Sci, vol. 18, no. 3, pp. 233–239, Mar. 2007, doi: 10.1111/j.1467-9280.2007.01882.x.
[30]J. F. Hair, W. C. Black, B. J. Babin, and R. E. Anderson, ‘Multivariate data analysis’. New Jersey: Pearson Education Inc, 2010.
[31]T. A. Salthouse, ‘Trajectories of normal cognitive aging.’, Psychology and aging, vol. 34, no. 1, p. 17, 2019.
[32]B. J. Calder, L. W. Phillips, and A. M. Tybout, ‘Designing research for application’, Journal of consumer research, vol. 8, no. 2, pp. 197–207, 1981.
[33]S. G. Hart and L. E. Staveland, ‘Development of NASA-TLX (Task Load Index): Results of empirical and theoretical research’, in Advances in psychology, vol. 52, Elsevier, 1988, pp. 139–183. Accessed: Apr. 08, 2025. [Online]. Available: https://www.sciencedirect.com/science/article/pii/S0166411508623869
[34]J. Brooke, ‘SUS-A quick and dirty usability scale’, Usability evaluation in industry, vol. 189, no. 194, pp. 4–7, 1996.
[35]W. M. Association, ‘World Medical Association Declaration of Helsinki: ethical principles for medical research involving human subjects’, Jama, vol. 310, no. 20, pp. 2191–2194, 2013.
[36]D. George and P. Mallery, IBM SPSS statistics 29 step by step: A simple guide and reference. Routledge, 2024. Accessed: Dec. 02, 2025. [Online]. Available: https://www.taylorfrancis.com/books/mono/10.4324/9781032622156/ibm-spss-statistics-29-step-step-darren-george-paul-mallery
[37]T. A. Brown, Confirmatory factor analysis for applied research. Guilford publications, 2015. Accessed: Dec. 02, 2025. [Online]. Available: https://books.google.com/books?hl=tr&lr=&id=tTL2BQAAQBAJ&oi=fnd&pg=PP1&dq=Confirmatory+factor+analysis+for+applied+research+&ots=amUvsOV
M3E&sig=p3gaQwehQnUYNc3jU-YfYzZ2j9Q
[38]A. Miyake, N. P. Friedman, M. J. Emerson, A. H. Witzki, A. Howerter, and T. D. Wager, ‘The unity and diversity of executive functions and their contributions to complex “frontal lobe” tasks: A latent variable analysis’, Cognitive psychology, vol. 41, no. 1, pp. 49–100, 2000.
[39]K. J. Preacher and K. Kelley, ‘Effect size measures for mediation models: quantitative strategies for communicating indirect effects.’, Psychological methods, vol. 16, no. 2, p. 93, 2011.
[40]X. Zhao, J. G. Lynch Jr, and Q. Chen, ‘Reconsidering Baron and Kenny: Myths and truths about mediation analysis’, Journal of consumer research, vol. 37, no. 2, pp. 197–206, 2010.
[41]J. Cohen, Statistical power analysis for the behavioral sciences. routledge, 2013. Accessed: Jan. 31, 2026. [Online]. Available: https://www.taylorfrancis.com/books/mono/10.4324/9780203771587/statistical-power-analysis-behavioral-sciences-jacob-cohen
[42]R. B. Kline, ‘The Mediation Myth’, Basic and Applied Social Psychology, vol. 37, no. 4, pp. 202–213, Jul. 2015, doi: 10.1080/01973533.2015.1049349.
[43]M. E. Sobel, ‘Asymptotic confidence intervals for indirect effects in structural equation models’, Sociological methodology, vol. 13, pp. 290–312, 1982.
[44]J. J. Van Merrienboer and J. Sweller, ‘Cognitive load theory and complex learning: Recent developments and future directions’, Educational psychology review, vol. 17, no. 2, pp. 147–177, 2005.
[45]S. Hrastinski, ‘Asynchronous and synchronous e-learning’, Educause quarterly, vol. 31, no. 4, pp. 51–55, 2008.
[46]L. Cohen, L. Manion, and K. Morrison, Research methods in education. routledge, 2002. Accessed: Jan. 31, 2026. [Online]. Available: https://www.taylorfrancis.com/books/mono/10.4324/9780203224342/research-methods-education-keith-morrison-louis-cohen-lawrence-manion
[47]P. Sedgwick, ‘Convenience sampling’, Bmj, vol. 347, 2013, Accessed: Jan. 31, 2026. [Online]. Available: https://www.bmj.com/content/347/bmj.f6304.pdf+html
[48][48]I. Etikan, S. A. Musa, and R. S. Alkassim, ‘Comparison of convenience sampling and purposive sampling’, American journal of theoretical and applied statistics, vol. 5, no. 1, pp. 1–4, 2016.
[49]T. Van Gog, F. Kirschner, L. Kester, and F. Paas, ‘Timing and Frequency of Mental Effort Measurement: Evidence in Favour of Repeated Measures’, Applied Cognitive Psychology, vol. 26, no. 6, pp. 833–839, Nov. 2012, doi: 10.1002/acp.2883.
[50]A. Korbach, R. Brünken, and B. Park, ‘Measurement of cognitive load in multimedia learning: A comparison of different objective measures’, Instructional science, vol. 45, no. 4, pp. 515–536, 2017.
[51]G. Orru and L. Longo, ‘The Evolution of Cognitive Load Theory and the Measurement of Its Intrinsic, Extraneous and Germane Loads: A Review’, in Human Mental Workload: Models and Applications, vol. 1012, L. Longo and M. C. Leva, Eds, in Communications in Computer and Information Science, vol. 1012. , Cham: Springer International Publishing, 2019, pp. 23–48. doi: 10.1007/978-3-030-14273-5_3.
[52]S. Oviatt, The design of future educational interfaces. Routledge, 2013. Accessed: Jan. 31, 2026. [Online]. Available: https://www.taylorfrancis.com/books/mono/10.4324/9780203366202/design-future-educational-interfaces-sharon-oviatt

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