UPSI Digital Repository (UDRep)
|
![]() |
|
|
Abstract : Universiti Pendidikan Sultan Idris |
Learning in virtual reality laboratories (VR labs) has become an important method in experimental teaching but can increase individuals’ cognitive load compared with traditional laboratories. This study analysed the effect of introducing an attentional guidance mechanism into a VR lab on students’ cognitive load and academic performance. We designed and developed two VR labs, one with and one without this attentional guidance stimulus (a 3D yellow arrow). A quasi-experimental design was adopted, and the data obtained were analysed using one-way ANOVA and linear regression. The experiment was conducted with 80 students majoring in digital media art at two universities. The results indicated that the students in the VR lab with the attentional guidance mechanism included exhibited lower cognitive load and higher academic performance than the control group. The regression analyses revealed that cognitive load negatively predicted learning outcomes; that is, academic performance improved as cognitive load decreased. In conclusion, as VR labs are increasingly used in education, supplementing them with attentional guidance stimuli can improve students’ academic performance by reducing their cognitive load. © The Author(s) 2024. |
References |
Achuthan K, Brahmanandan S, Bose LS (2015) Cognitive load management in multimedia enhanced interactive virtual laboratories. In: El-Alfy E-SM, Thampi SM, Takagi H, Piramuthu S, Hanne T (eds) Advances in intelligent informatics. Springer International Publishing, Cham, pp 143–155. https:// doi. org/10. 1007/ 978-3- 319- 11218-3_ 15. Achuthan K, Nedungadi P, Kolil VK, Diwakar S, Raman R (2020) Innovation adoption and diffusion of virtual laboratories. Int J Onl Eng 16(9):4–25. https:// doi. org/ 10. 3991/ ijoe. v16i09. 11685. Albus P, Vogt A, Seufert T (2021) Signaling in virtual reality influences learning outcome and cognitive load. Comput Educ 166:104154. https:// doi. org/ 10. 1016/j. compe du. 2021. 104154. Ali N, Ullah S, Khan D (2022) Minimization of students’ cognitive load in a virtual chemistry laboratory via contents optimization and arrow-textual aids. Educ Inf Technol 27(6):7629–7652. https:// doi. org/ 10. 1007/ s10639- 022- 10936-6. Andersen SAW, Mikkelsen PT, Konge L, Cayé-Thomasen P, Sørensen MS (2016) The effect of implementing cognitive load theory-based design principles in virtual reality simulation training of surgical skills: a randomized controlled trial. Adv Simul 1(1):20. https:// doi. org/ 10. 1186/ s41077- 016- 0022-1. Ansorge U, Becker SI (2014) Contingent capture in cueing: the role of color search templates and cue-target color relations. Psychol Res 78(2):209–221. https://d oi.o rg/1 0.1 007/s 00426-0 13-0 497-5. Baddeley A (1992) Working memory. Science 255(5044):556–559. https:// doi. org/ 10. 1126/ scien ce. 17363 59. Baddeley A (2003) Working memory: looking back and looking forward. Nat Rev Neurosci 4(10):829–839. https:// doi. org/ 10. 1038/nrn12 01. Baddeley AD, Hitch G (1974) Working memory. In: Bower GH (ed) Psychology of learning and motivation. Academic Press, Cambridge, pp 47–89. Brucker B, Scheiter K, Gerjets P (2014) Learning with dynamic and static visualizations: realistic details only benefit learners with high visuospatial abilities. Comput Hum Behav 36:330–339. https:// doi. org/ 10. 1016/j. chb. 2014. 03. 077. Burnham BR (2020) Evidence for early top-down modulation of attention to salient visual cues through probe detection. Atten Percept Psychophys 82(3):1003–1023. https:// doi. org/ 10. 3758/s13414- 019- 01850-0. Canham M, Hegarty M (2010) Effects of knowledge and display design on comprehension of complex graphics. Learn Instruction 20(2):155–166. https:// doi. org/ 10. 1016/j. learn instr uc. 2009. 02. 014. Cohen J (2013) Statistical power analysis for the behavioral sciences. Milton Park Abingdon-on-Thames, Oxfordshire, Routledge. De Jong T (2010) Cognitive load theory, educational research, and instructional design: some food for thought. Instr Sci 38(2):105–134. https:// doi. org/ 10. 1007/ s11251- 009- 9110-0. De Koning BB, Tabbers HK, Rikers RMJP, Paas F (2009) Towards a framework for attention cueing in instructional animations: Guidelines for research and design. Educ Psychol Rev 21(2):113–140. https:// doi. org/ 10. 1007/ s10648- 009- 9098-7. Desimone R, Duncan J (1995) Neural mechanisms of selective visual attention. Annu Rev Neurosci 18(1):193–222. https:// doi. org/ 10.1146/ annur ev. ne. 18. 030195. 001205. Downing PE (2000) Interactions between visual working memory and selective attention. Psychol Sci 11(6):467–473. https:// doi. org/ 10.1111/ 1467- 9280. 00290. Du X, Dai M, Tang H, Hung JL, Li H, Zheng J (2022) A multimodal analysis of college students’ collaborative problem solving in virtual experimentation activities: a perspective of cognitive load. J Comput High Educ 35:272–295. https:// doi. org/ 10. 1007/s12528- 022- 09311-8. El Kabtane H, El Adnani M, Sadgal M, Mourdi Y (2020) Virtual reality and augmented reality at the service of increasing interactivity in MOOCs. Educ Inf Technol 25(4):2871–2897. https:// doi. org/ 10.1007/ s10639- 019- 10054-w. Enns JT, Austen EL, Di Lollo VD, Rauschenberger R, Yantis S (2001) New objects dominate luminance transients in setting attentional priority. J Exp Psychol Hum Percept Perform 27(6):1287–1302. https:// doi. org/ 10. 1037/ 0096- 1523. 27.6. 1287. Frederiksen JG, Sørensen SMD, Konge L, Svendsen MBS, Nobel-Jørgensen M, Bjerrum F, Andersen SAW (2020) Cognitive load and performance in immersive virtual reality versus conventional virtual reality simulation training of laparoscopic surgery: a randomized trial. Surg Endosc 34(3):1244–1252. https:// doi. org/ 10.1007/ s00464- 019- 06887-8. Gathercole SE, Alloway TP, Kirkwood HJ, Elliott JG, Holmes J, Hilton KA (2008) Attentional and executive function behaviours in children with poor working memory. Learn Individ Differ 18(2):214–223. https:// doi. org/ 10. 1016/j. lindif. 2007. 10. 003. Ge Y-P, Unsworth L, Wang K-H (2017) The effects of explicit visual cues in reading biological diagrams. Int J Sci Educ 39(5):605–626. https:// doi. org/ 10. 1080/ 09500 693. 2017. 12975 49. Grivokostopoulou F, Kovas K, Perikos I (2020) The effectiveness of embodied pedagogical agents and their impact on students learning in virtual worlds. Appl Sci 10(5):1739. https:// doi. org/ 10.3390/ app10 051739. Guadagnoli MA, Lee TD (2004) Challenge point: a framework for conceptualizing the effects of various practice conditions in motor learning. J Mot Behav 36(2):212–224. https:// doi. org/ 10. 3200/JMBR. 36.2. 212- 224. |
This material may be protected under Copyright Act which governs the making of photocopies or reproductions of copyrighted materials. You may use the digitized material for private study, scholarship, or research. |