A Cognitive Load for Online Classrooms in an EFL Context: A Qualitative Study

Document Type : research article

Authors

1 Department of English language, Tabriz Branch, Islamic Azad University, Tabriz, Iran

2 Department of English, Tabriz Branch, Islamic Azad University, Tabriz, Iran

Abstract

Cognitive load is the amount of effort the mind makes to process information. When the cognitive load is high or excessive, it leads to consequences such as unwillingness to learn, inability to recall information from long-term memory, and understanding information.The main objective of this study was to consider a cognitive load for online classrooms in an EFL context using a qualitative study. This study made use of qualitative approach through grounded theory (1967). Population were all EFL learners of Tabriz Azad University students among them 16 EFL learners selected as sample size using purposefully non-randomly method who participated in our study voluntary. To gather data, a semi-structured interviews designed with learners to identify the items and components of their cognitive load in online classes. To determine the validity and reliability of interviews process, we made use of Lincoln & Guba (1985) method and kappa coefficient (0.663). Results showed that in general 27 codes were identified as components of cognitive load in online classes which are categorized under 6 core components as learning process, doing tasks, class time, environment, software quality and suitable load. In turn, these core components were categorized as selective components including intrinsic, extraneous and germane cognitive loads.

Keywords

Main Subjects


Aguilera‐Hermida, A. P. (2020). College students' use and acceptance of emergency online learning due to COVID‐19. International Journal of Educational Research Open, 1, 100011. 10.1016/j.ijedro.2020.100011
Anderson, M. S., Makransky, G. (2021). Validation and further Development of the multidimensional cognitive load scale for physical and online lectures (MCLS-POL). Frontiers in Psychology. 12, 1-11. doi: 10.3389/fpsyg.2021.642084.
Baceviciute, S., Mottelson, A., Terkildsen, T., and Makransky, G. (2020). “Investigating representation of text and audio in educational VR using learning outcomes and EEG,” in Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, 1–13. doi: 10.1145/3313831.3376872.
Bahrami, K. (2023). The Role of Fear and Anxiety in Learning German: A Field Study of German Language Teaching in Iran. Journal of Foreign Language Research, 13(2), 287-298. doi: 10.22059/jflr.2023.353194.1007
Bahrami, K. (2023). The Role of Fear and Anxiety in Learning German: A Field Study of German Language Teaching in Iran. Journal of Foreign Language Research, 13(2), 287-298. doi: 10.22059/jflr.2023.353194.1007.
Bănuț, M., Ndronache, D. (2023). Students’ cognitive load in online education, under the lens of learning theories. studia ubb psychol.-paed. 15 (2), 111-130.
Besser, A., Flett, G. L. , & Zeigler‐Hill, V. (2020). Adaptability to a sudden transition to online learning during the COVID19 pandemic: Understanding the challenges for students. Scholarship of Teaching and Learning in Psychology. Advance Online Publication. 10.1037/stl0000198
Boling, E. C., Hough, M. , Krinsky, H. , Saleem, H. , Stevens, M. (2012). Cutting the distance in distance education: Perspectives on what promotes positive, online learning experiences. The Internet and Higher Education, 15(2), 118–126. https://doi.org/10.1016/j.iheduc.2011.11.006
Brünken, R., Plass, J. L., and Leutner, D. (2004). Assessment of cognitive load in multimedia learning with dual-task methodology: auditory load and modality effects. Instr. Sci. 32, 115–132. https://www.jstor.org/stable/41953640
Chen, Q., and Yan, Z. (2016). Does multitasking with mobile phones affect learning? A review. Comput. Hum. Behav. 54, 34–42. doi: 10.1016/j.chb.2015.07.047.
Conrad, C., & Newman, A. (2021). Measuring mind wandering during online lectures assessed with EEG. Frontiers in Human Neuroscience, 15, 697532. 10.3389/fnhum.2021.697532. doi: 10.3389/fnhum.2021.697532
Copeland, W. E., McGinnis, E. , Bai, Y. , Adams, Z. , Nardone, H. , Devadanam, V. , Rettew, J. , & Hudziak, J. J. (2021). Impact of COVID‐19 pandemic on college student mental health and wellness. Journal of the American Academy of Child & Adolescent Psychiatry, 60(1), 134–141.e2. 10.1016/j.jaac.2020.08.466. DOI: 10.1016/j.jaac.2020.08.466
De Jong, T. (2010). Cognitive load theory, educational research, and instructional design: Some food for thought. Instructional science38(2), 105-134. https://doi.org/10.1007/s11251-009-9110-0
Frederiksen, J. G., Sørensen, S. M. D., Konge, L., Svendsen, M. B. S., Nobel-Jørgensen, M., Bjerrum, F& Andersen, S. A. W. (2020). Cognitive load and performance in immersive virtual reality versus conventional virtual reality simulation training of laparoscopic surgery: A randomized trial. Surgical Endoscopy, 34(3), 1244-1252. doi: 10.1007/s00464-019-06887-8
Houlden, S., & Veletsianos, G. (2020). Coronavirus pushes universities to switch to online classes—But are they ready? The Conversation. http://theconversation.com/coronavirus‐pushes‐universities‐to‐switch‐to‐online‐classes‐but‐are‐they‐ready‐132728
Kastaun, M., Meier, M., Küchemann, S., & Kuhn, J. (2021). Validation of Cognitive Load During Inquiry-Based Learning With Multimedia Scaffolds Using Subjective Measurement and Eye Movements. Front. Psychol. 12: 703857. doi: 10.3389/fpsyg.2021.703857.
Klepsch, M., Schmitz, F., Seufert, T. (2017). Development and validation of two instruments measuring intrinsic, extraneous and germane cognitive load. Frontiers in Psychology. 8, 1-18. doi: 10.3389/fpsyg.2017.01997.
König, J., Jäger-Biela, D. J., and Glutsch, N. (2020). Adapting to online teaching during COVID-19 school closure: teacher education and teacher competence effects among early career teachers in Germany. Eur. J. Teacher Educ. 43, 608–622. doi: 10.1080/02619768.2020.1809650.
Le Cunff, AL., Giampietro, V., Dommett, E. (2024). Neurodiversity and cognitive load in online learning: A focus group study. PLoS One. 19(4), e0301932. doi: 10.1371/journal.pone.0301932. PMID: 38626101; PMCID: PMC11020716.
Makransky, G., Mayer, R. E., Veitch, N., Hood, M., Christensen, K. B., and Gadegaard, H. (2019a). Equivalence of using a desktop virtual reality science simulation at home and in class. PLoS ONE. 14:e0214944. doi: 10.1371/journal.pone.0214944.
Mayer, R. E. (2009). Multimedia learning (2nd ed.). Cambridge University Press
Minkley, N., Xu, K., and Krell, M. (2021). Analyzing relationships between causal and assessment factors of cognitive load: associations between objective and subjective measures of cognitive load, stress, interest, and self-concept. Front. Educ. 6. doi: 10.3389/feduc.2021.632907.
Myrick, K. , Kelloway, E. K. , & Arnold, K. A. (2020). 6 ways universities are being put to the test by coronavirus. The Conversation. http://theconversation.com/6‐ways‐universities‐are‐being‐put‐to‐the‐test‐by‐coronavirus‐142222
Orlov, G., McKee, D., Berry, J., Boyle, A., DiCiccio, T., Ransom, T., Rees‐Jones, A., & Stoye, J. (2021). Learning during the COVID‐19 pandemic: It is not who you teach, but how you teach. Economics Letters, 202, 109812.
Scharinger, C., Schüler, A., and Gerjets, P. (2020). Using eye-tracking and EEG to study the mental processing demands during learning of text-picture combinations. Int. J. Psychophysiol. 158, 201–214. doi: 10.1016/j.ijpsycho.2020.09.014.
Servilha, E. A. M., and Delatti, M. D. A. (2014). College students’ perception of classroom noise and its consequences on learning quality. Audiol. Commun. Res. 19, 138–144. doi: 10.1590/S2317-64312014000200007.
Soleimanifard, F., Behnam, B., Ahangari, S. (2020). The Representation of 'Britain' in BBC English Learning Website: Promoting Electronic Colonialism. Scientific Journal of Language Research. 12 (34), 47-79.
Sun, P. C. , Tsai, R. J. , Finger, G. , Chen, Y. Y. , & Yeh, D. (2008). What drives a successful e‐Learning? An empirical investigation of the critical factors influencing learner satisfaction. Computers & Education, 50(4), 1183–1202. DOI: 10.1016/j.compedu.2006.11.007
Swan, K. (2019). Social construction of knowledge and the community of inquiry framework. In Open and distance education theory revisited (pp. 57–65). Springer.
Sweller, J (1988). "Cognitive Load during Problem Solving: Effects on Learning". Cognitive Science. 12 (2), 257–285. https://doi.org/10.1207/s15516709cog1202_4
Sweller, J., Ayres, P., and Kalyuga, S. (2011c). “Measuring cognitive load,” in Cognitive Load Theory, eds J. Sweller, P. Ayres, and S. Kalyuga (New York, NY: Springer), 71–85. doi: 10.1007/978-1-4419-8126-4_6.
Sweller, J., van Merriënboer, J. J. G., and Paas, F. G. W. C. (1998). Cognitive architecture and instructional design. Educ. Psychol. Rev. 10, 251–296. doi: 10.1023/A:1022193728205.
Trilisiana, N., Haryanto, H., Pujiriyanto, P., Kurniawati, W., & Sulaimon, J.T. (2023). Cognitive load in high school students during online learning amidst the Covid-19 pandemic: A qualitative study in Bantul, Indonesia. Jurnal Inovasi Teknologi Pendidikan, 10(2), 203-217. https://doi.org/10.21831/jitp.v10i2.61752
VanLeeuwen, C. A. , Veletsianos, G. , Johnson, N. , & Belikov, O. (2021). Never‐ending repetitiveness, sadness, loss, and “juggling with a blindfold on:” Lived experiences of Canadian college and university faculty members during the COVID‐19 pandemic. British Journal of Educational Technology, 52(4), 1306–1322. https://doi.org/10.1111/bjet.13065
Vosoughi, M. (2023). A Meta-analysis: The Efficacy of Working Memory Span (WMS) on EFL Written skill Performance. Journal of Foreign Language Research, 12(4), 552-579. doi: 10.22059/jflr.2022.344447.959
Zheng, R., and Cook, A. (2012). Solving complex problems: a convergent approach to cognitive load measurement. Brit. J. Educ. Technol. 43, 233–246. doi: 10.1111/j.1467-8535.2010.01169.x.