Design and development of a virtual reality anatomy medical classroom by utilizing cognitive load theory and the virtual medical technology acceptance model (VMEDTAAM)


  • Muhammad Aminuddin Akmal Mohd Hamizi Universiti Sains Malaysia, MALAYSIA
  • Nur Azlina Mohamed Mokmin Universiti Sains Malaysia, MALAYSIA
  • Ummie Haniffah Ariffin Universiti Sains Malaysia, MALAYSIA



CTL, technology acceptance model (TAM), VR anatomy, cognitive load, medical sciences


Without a doubt, medical sciences have a significant effect on our lives. The medical sciences aid in the diagnosis and treatment of diseases and ailments. According to studies, the majority of students utilized conventional instructional methods in their practical classroom. Virtual reality is one of the immersive technologies that aid the learning process by reducing cognitive load. According to Mayer's 12 Multimedia Principles, the learning process is enhanced when multimedia elements such as visuals audio are combined. This study presented the design and development of a VR anatomy medical classroom by employing cognitive load theory and determining the acceptability of virtual reality technology for the medical sciences. The combination of the ADDIE model and 12 Mayer's Principle of Multimedia improved the learning method and research framework for the use of VR-based technologies in medical sciences education. Utilizing a modified version of the Technology Acceptance Model (TAM), the VMedTAAM is used to determine the acceptance of technology in medical education. The result will serve as a guide for future VR developers to improve the design of immersive technology in this area. 


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Ahdika, A. (2021). Improvement of Quality, Interest, Critical, and Analytical Thinking Ability of Students through the Application of Research Based Learning (RBL) in Introduction to Stochastic Processes Subject. International Electronic Journal of Mathematics Education, 12(2), 167–191.

Albus, P., Vogt, A., & Seufert, T. (2021). Signaling in virtual reality influences learning outcome and cognitive load. Computers and Education, 166(April 2020), 104154.

Aldoobie, N. (2015). ADDIE Model. American International Journal of Contemporary Research ADDIE, 5(6), 68–72.

Anmarkrud, Ø., Andresen, A., & Bråten, I. (2019). Cognitive Load and Working Memory in Multimedia Learning: Conceptual and Measurement Issues. Educational Psychologist, 54(2), 61–83.

Basu, R. (2018). Instructional Design Models : Benefits and Challenges. UGC Approved Journal, Vol.-41 N(June), 31–36.

Budoya, C. M., Kissaka, M., & Mtebe, J. (2019). Instructional Design Enabled Agile Method Using ADDIE Model and Feature Driven Development Process. International Journal of Education and Development Using Information and Communication Technology, 15(1), 35–54.

Chau, P. Y. K., & Hu, P. J. H. (2001). Information technology acceptance by individual professionals: A model comparison approach. Decision Sciences, 32(4), 699–719.

Ching, G. S., & Roberts, A. (2020). Evaluating the pedagogy of technology integrated teaching and learning: An overview. International Journal of Research Studies in Education, 9(6).

Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly: Management Information Systems, 13(3), 319–339.

Ginns, P., & Leppink, J. (2019). Special Issue on Cognitive Load Theory: Editorial. Educational Psychology Review, 31(2), 255–259.

Hamizi, M. A. A. B. M., Mokmin, N. A. B. M., & Ariffin, U. H. binti. (2022). Virtual reality technology in physical education : a systematic review in instructional design & implementation Muhammad Aminuddin Akmal Bin Mohd Hamizi , Nur Azlina Binti Mohamed Mokmin *, and Ummie. 6(1), 6–12.

Hsieh, M. C., & Lee, J. J. (2018). Preliminary Study of VR and AR Applications in Medical and Healthcare Education. Journal of Nursing and Health Studies, 03(01), 1–5.

Kassutto, S. M., Baston, C., & Clancy, C. (2021). Virtual, Augmented, and Alternate Reality in Medical Education: Socially Distanced but Fully Immersed. ATS Scholar, 2(4), 651–664.

Kavanagh, S., Luxton-Reilly, A., Wuensche, B., & Plimmer, B. (2017). A Systematic Review of Virtual Reality in Education. Themes in Science and Technology Education, 10(2), 85–119.

Lauren, H. (2021, December 14). Mayer’s 12 Principles of Multimedia Learning | Lucidea. LUCIDEA.

Lin, H. T., Tsai, H. J., Li, Y. I., & Hu, W. P. (2022). Benefits of applying virtual reality in pelvic movement training through a Wii Fit: a randomized controlled trial. BMC Medical Education, 22(1), 1–11.

May, A. (2018, March 7). Instructional Design Models: Comparing ADDIE, Bloom, Gagne, & Merrill. DASHE & THOMSON.

Mutlu-Bayraktar, D., Cosgun, V., & Altan, T. (2019). Cognitive load in multimedia learning environments: A systematic review. Computers and Education, 141(June), 103618.

Nurul Fadly, H., Tuan Waheda, T. C., & Ummu Aiman, M. (2022). Industrial and Management Practices : Learning , Quality and Environmental Improvement (Issue January).

Nurul, N. M. K., Adnan, A. H. M., Yusof, A. A., Ahmad, M. K., & Anwar, M. K. (2019). Immersive Interactive Educational Experiences – Technologies for Malaysian Universities. Proceedings: International Invention, Innovative & Creative (InIIC) Conference, 2019 MNNF Publisher (ISBN Number: 978-967-15509-9-1), 2019, 190–196.

Parong, J., & Mayer, R. E. (2018). Learning science in immersive virtual reality. Journal of Educational Psychology, 110(6), 785–797.

Qingtao, Z. (2020). Analysis and Research on the Combination of Virtual Reality Technology (VR) and College Sports Training. Journal of Physics: Conference Series, 1486(5).

Radianti, J., Majchrzak, T. A., Fromm, J., & Wohlgenannt, I. (2020). A systematic review of immersive virtual reality applications for higher education: Design elements, lessons learned, and research agenda. Computers and Education, 147(November 2019), 103778.

Samadbeik, M., Yaaghobi, D., Bastani, P., Abhari, S., Rezaee, R., & Garavand, A. (2018). The Applications of Virtual Reality Technology in Medical Groups Teaching. Journal of Advances in Medical Education & Professionalism, 6(3), 123–129.

Sattar, M. U., Palaniappan, S., Lokman, A., Hassan, A., Shah, N., & Riaz, Z. (2019). Effects of virtual reality training on medical students’ learning motivation and competency. Pakistan Journal of Medical Sciences, 35(3), 852–857.

Shirley, H. (2022). Cognitive Load Theory and Phonics Instruction | Phonics Hero. Phonics Hero.

Suh, A., & Prophet, J. (2018). The state of immersive technology research: A literature analysis. Computers in Human Behavior, 86, 77–90.

Surendran, P. (2013). Technology Acceptance Model: A Survey of Literature. International Journal of Business and Social Research, 2(4), 175–178.

Sweller, J., van Merriënboer, J. J. G., & Paas, F. (2019). Cognitive Architecture and Instructional Design: 20 Years Later. Educational Psychology Review, 31(2), 261–292.

Vermaak, W. (2022). What Is Web 3.0? | Alexandria.

Vesga, J. B., Xu, X., & He, H. (2021). The effects of cognitive load on engagement in a virtual reality learning environment. Proceedings - 2021 IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2021, 645–652.

White, N., & Candidate, D. (2018). Cognitive load theory & Instructional design in computer- assisted field orientations | Step 2.

Zawacki-Richter, O., & Latchem, C. (2018). Exploring four decades of research in Computers & Education. Computers and Education, 122(June 2017), 136–152.

Zhang, X., Shi, Y., & Bai, H. (2021). Immersive Virtual Reality Physical Education Instructional Patterns on the Foundation of Vision Sensor. 2021.

Zhao, J., Xu, X., Jiang, H., & Ding, Y. (2020). The effectiveness of virtual reality-based technology on anatomy teaching: A meta-analysis of randomized controlled studies. BMC Medical Education, 20(1), 1–10.




How to Cite

Mohd Hamizi, M. A. A., Mokmin, N. A. M., & Ariffin, U. H. (2023). Design and development of a virtual reality anatomy medical classroom by utilizing cognitive load theory and the virtual medical technology acceptance model (VMEDTAAM). Journal of ICT in Education, 10(1), 1–13.

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