Double Cognitive Load: How English Language Proficiency Shapes Students' Engagement with 3D Dynamic Geometry Software
Authors
Fidan Sadigli

Share
Annotation
Three-dimensional (3D) dynamic geometry environments, such as GeoGebra 3D, are increasingly used to build spatial reasoning in secondary mathematics classrooms, yet these tools typically operate in English regardless of students' first language. This conceptual article examines how English proficiency, described through CEFR levels A2, B1, and B2, interacts with the cognitive demands of manipulating three-dimensional objects in ICT-based geometry environments. Drawing on Cognitive Load Theory, the conversational/academic language distinction, and research on the trainability of spatial skills, it develops the double cognitive load hypothesis: learners with lower English proficiency must simultaneously decode linguistic input and perform spatial reasoning, drawing on the same limited working-memory resources. No new data are reported; the article synthesizes the relevant literature, proposes scaffolding strategies, and closes with a design for the empirical study the hypothesis requires.
Keywords
Authors
Fidan Sadigli

Share
References:
Baddeley, A. (2003). Working memory and language: An overview. Journal of Communication Disorders, 36(3), 189-208. https://doi.org/10.1016/S0021-9924(03)00019-4
Council of Europe. (2001). Common European Framework of Reference for Languages: Learning, teaching, assessment. Cambridge University Press.
Council of Europe. (2020). Common European Framework of Reference for Languages: Learning, teaching, assessment - Companion volume. Council of Europe Publishing.
Cummins, J. (1979). Cognitive/academic language proficiency, linguistic interdependence, the optimum age question and some other matters. Working Papers on Bilingualism, 19, 121-129.
Cummins, J. (2000). Language, power, and pedagogy: Bilingual children in the crossfire. Multilingual Matters.
Echevarria, J., Vogt, M., & Short, D. J. (2017). Making content comprehensible for English learners: The SIOP model (5th ed.). Pearson.
Gibbons, P. (2015). Scaffolding language, scaffolding learning: Teaching English language learners in the mainstream classroom (2nd ed.). Heinemann.
Hart, S. G., & Staveland, L. E. (1988). Development of NASA-TLX (Task Load Index): Results of empirical and theoretical research. In P. A. Hancock & N. Meshkati (Eds.), Human mental workload (pp. 139-183). North-Holland.
Hohenwarter, M., & Jones, K. (2007). Ways of linking geometry and algebra: The case of GeoGebra. Proceedings of the British Society for Research into Learning Mathematics, 27(3), 126-131.
Krashen, S. D. (1985). The input hypothesis: Issues and implications. Longman.
Liu, X., Li, W., Yu, J., & Zhang, Z. (2022). Dual coding or cognitive load? Exploring the effect of multimodal input on English as a foreign language learners' vocabulary learning. Frontiers in Psychology, 13, Article 834706. https://doi.org/10.3389/fpsyg.2022.834706
Mayer, R. E. (2009). Multimedia learning (2nd ed.). Cambridge University Press.
National Research Council. (2006). Learning to think spatially: GIS as a support system in the K-12 curriculum. National Academies Press. https://doi.org/10.17226/11019
Paas, F., & van Merrienboer, J. J. G. (1994). Instructional control of cognitive load in the training of complex cognitive tasks. Educational Psychology Review, 6(4), 351-371. https://doi.org/10.1007/BF02213420
Rafiq, K. R. M., Hashim, H., Yunus, M. M., & Pazilah, F. N. (2025). Bridging the language gap in STEM education: Design, development, and evaluation of ME4STEM (Mobile English for STEM) module. Computer-Assisted Language Learning Electronic Journal, 26(4), 123-150.
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., & Kalyuga, S. (2011). Cognitive load theory. Springer. https://doi.org/10.1007/978-1-4419-8126-4
Sweller, J., Roussel, S., & Tricot, A. (2022). Cognitive load theory and instructional design for language learning. In J. W. Schwieter & Z. E. Wen (Eds.), The Cambridge handbook of working memory and language (pp. 859-880). Cambridge University Press. https://doi.org/10.1017/9781108955638.045
Uttal, D. H., Meadow, N. G., Tipton, E., Hand, L. L., Alden, A. R., Warren, C., & Newcombe, N. S. (2013). The malleability of spatial skills: A meta-analysis of training studies. Psychological Bulletin, 139(2), 352-402.
Vandenberg, S. G., & Kuse, A. R. (1978). Mental rotations, a group test of three-dimensional spatial visualization. Perceptual and Motor Skills, 47(2), 599-604. https://doi.org/10.2466/pms.1978.47.2.599
Vygotsky, L. S. (1978). Mind in society: The development of higher psychological processes. Harvard University Press.
Wood, D., Bruner, J. S., & Ross, G. (1976). The role of tutoring in problem solving. Journal of Child Psychology and Psychiatry, 17(2), 89-100. https://doi.org/10.1111/j.1469-7610.1976.tb00381.x
Yohannes, A., & Chen, H.-L. (2023). GeoGebra in mathematics education: A systematic review of journal articles published from 2010 to 2020. Interactive Learning Environments, 31(9), 5682-5697. https://doi.org/10.1080/10494820.2021.2016861
