Sonja Holmer, Daniel Zander, Joel Waye, Kaspian Jakobsson
pp. … – …, download
(https://doi.org/10.55612/s-5002-063-002)
Abstract
Keywords: virtual reality, educational technology, physics education, cognitive load theory.
References
1. Chernikova O., Heitzmann N., Stadler M., Holzberger D., Seidel T., Fischer F.: Simulation-based learning in higher education: a meta-analysis, Review of Educational Research, 90(4), pp 499–541 (2020)
https://doi.org/10.3102/0034654320933544
2. Hamilton D., McKechnie J., Edgerton E. et al.: Immersive virtual reality as a pedagogical tool in education: a systematic literature review of quantitative learning outcomes and experimental design, J. Comput. Educ. 8, pp 1-32 (2021) https://doi.org/10.1007/s40692-020-00169-2
3. Maresky H. S., Oikonomou A., Ali I., Ditkofsky N., Pakkal M., Ballyk B.: Virtual reality and cardiac anatomy: Exploring immersive three-dimensional cardiac imaging, a pilot study in undergraduate medical anatomy education. Clinical Anatomy, 32, pp 238–243 (2019)
https://doi.org/10.1002/ca.23292
4. Sweller J.: Cognitive load during problem solving: effects on learning. Cognitive Science, 12, pp 275–285 (1988) https://doi.org/10.1016/0364-0213(88)90023-7
5. Paas F., Renkl A., Sweller J.: Cognitive Load Theory: Instructional Implications of the Interaction between Information Structures and Cognitive Architecture, Instructional Science, 32(1/2), pp 1–8 (2004)
https://doi.org/10.1023/B:TRUC.0000021806.17516.d0
6. Edda Knowledge, www.eddaknowledge.com. (2024)
7. Sweller J., Ayres P., Kalyuga S.: Intrinsic and extraneous cognitive load. In J. Sweller, P. Ayres, S. Kalyuga (Eds.), Cognitive load theory, pp 57–69. Basel: Springer. (2011)
https://doi.org/10.1007/978-1-4419-8126-4_5
8. Sweller J., van Merriënboer J., Paas F.: Cognitive architecture and instructional design: 20 years later. Educational Psychology Review, 31, pp 261-292 (2019) https://doi.org/10.1007/s10648-019-09465-5
9. Baddeley A.D.: Working Memory, Clarendon Press (1986)
10. Sweller J, Sweller S.: Natural information processing systems. Evolutionary Psychology, 4, pp 434–458 (2006) https://doi.org/10.1177/147470490600400135
11. Miller G. A.: The magical number seven, plus or minus two: Some limits on our capacity for processing information. Psychological Review, 63, pp 81–97 (1956) https://doi.org/10.1037/h0043158
12. Peterson L., Peterson M. J.: Short-term retention of individual verbal items. Journal of Experimental Psychology, 58, pp 193–198 (1959) https://doi.org/10.1037/h0049234
13. Sweller J.: Cognitive load theory and educational technology. Education Tech Research Dev 68, pp 1-16 (2020) https://doi.org/10.1007/s11423-019-09701-3
14. Kirschner P., Sweller J., Clark R.: Why minimal guidance during instruction does not work: An analysis of the failure of constructivist, discovery, problem-based, experiential and inquiry-based teaching, Educational Psychologist, 41, pp 75-86. (2006) https://doi.org/10.1207/s15326985ep4102_1
15. Albus, P., Seufert, T.: The modality effect reverses in a virtual reality learning environment and influences cognitive load, Instructional Science 51, pp 545–570 (2023) https://doi.org/10.1007/s11251-022-09611-7
16. Chen O., Castro-Alonso J. C., Paas F., Sweller J.: Extending Cognitive Load Theory to Incorporate Working Memory Resource Depletion: Evidence from the Spacing Effect. Educ Psychol Rev, 30(2), pp 483–501 (2018) https://doi.org/10.1007/s10648-017-9426-2
17. Lee J. Y., Donkers J., Jarodzka H., Sellenraad G., van Merriënboer J. J. G.: Different effects of pausing on cognitive load in a medical simulation game. Computers in Human Behavior, 110 (2020)
https://doi.org/10.1016/j.chb.2020.106385
18. Molland, A. F.: Chapter 3: Flotation and stability, The Maritime Engineering Reference Book, Butterworth-Heinemann, pp 75–115 (2008) https://doi.org/10.1016/B978-0-7506-8987-8.00003-2
19. Zander D., Holmer S., Lundell J., Waye J., Jakobsson K.: Arkimedes övertygelse: Inlärning och övertygelse av verkliga fenomen i virtuella lärmiljöer. In B. Johansson, A. Gulz, M. Haake, M. Wallergård, J. Nirme, E. Ternblad, B. Tärning (Eds), Intelligent, socially oriented technology VI: Projects by teams of master level students in cognitive science and engineering, pp 115-127 (2023)
20. Unity Technologies. Unity. https://unity.com/ (2022)
21. Kullberg, A., Runesson Kempe, U. Marton, F.: What is made possible to learn when using the variation theory of learning in teaching mathematics?, ZDM, 49(4), pp 559–569 (2017) https://doi.org/10.1007/s11858-017-0858-4
22. Åkerlind, G.: From phenomenography to variation theory: A review of the development of the variation theory of learning and implications for pedagogical design in higher education, HERDSA Review of Higher Education, 2, pp 5–26 (2015)
23. Hutchins E.: Cognition in the wild. Cambridge, Mass.: MIT Press, (1995) https://doi.org/10.7551/mitpress/1881.001.0001