Educard AR: Development of an AI-Powered Augmented Reality Virtual Laboratory for Anatomy and Biology Education
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ArUco Markers,
Augmented Reality,
STEM Education,
Virtual Laboratory
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Laika Mae Florence M. Sigre
Noel P. Caliston
Jayvee G. Perez
Abstract
Background: Traditional learning in anatomy and biology often relies on static 2D materials, creating a gap in spatial comprehension and hindering student engagement.
Aims: This study aimed to design, develop, and evaluate EduCard AR, a desktop virtual laboratory integrating marker-based Augmented Reality (AR) and Artificial Intelligence (AI) for immersive learning.
Methods: Developed with Python and OpenCV, the system uses ArUco markers for 3D overlays (e.g., heart, DNA) and generative AI for contextual assistance. Evaluation involved technical benchmarking and usability testing with 30 students using the System Usability Scale (SUS).
Results: Technical results showed a consistent 30 FPS with <50ms latency and 100% marker accuracy for key biological structures. The AI module achieved a 1.5s response time. Usability testing yielded a SUS score of 85.5 ('Excellent'), while an ISO 25010 expert evaluation resulted in a mean of 4.35 (Very Satisfactory), confirming functional suitability and usability.
Conclusion: EduCard AR provides a cost-effective alternative to expensive laboratory equipment, demonstrating that AI-powered AR can effectively democratize interactive educational technologies.
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Copyright (c) 2026 Laika Mae Florence M. Sigre, Noel P. Caliston, Jayvee G. Perez
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
References
Akçayır, M., & Akçayır, G. (2017). Advantages and challenges associated with augmented reality for education: A systematic review of the literature. Educational Research Review, 20, 1–11. https://doi.org/10.1016/j.edurev.2016.11.002
Cabero, J., & Barroso, J. (2021). The educational possibilities of Augmented Reality. Journal of New Approaches in Educational Research, 5(1), 44–50. https://doi.org/10.7821/naer.2016.1.140
Chin, K.-Y., Kao, Y.-C., & Wang, C.-S. (2020). Effects of augmented reality technology in a mobile touring system on university students’ learning performance and interest. Australasian Journal of Educational Technology, 27–42. https://doi.org/10.14742/ajet.5841
Corbeil, J. R., & Corbeil, M. E. (2025). Teaching and Learning in the Age of Generative AI. In Routledge eBooks. Informa. https://doi.org/10.4324/9781032688602
Cox, A. (2021). Exploring the impact of Artificial Intelligence and robots on higher education through literature-based design fictions. International Journal of Educational Technology in Higher Education, 18(1). https://doi.org/10.1186/s41239-020-00237-8
Diyal, S. B., & Pandey, R. (2025). Educational Technology and the Changing Shape of Education: A Roadmap to 21st Century Learning. Innovative Research Journal, 4(2), 107–118. https://doi.org/10.3126/irj.v4i2.91138
Douali, L., Selmaoui, S., & Bouab, W. (2022). Artificial Intelligence in Education: Fears and Faiths. International Journal of Information and Education Technology, 12(7), 650–657. https://doi.org/10.18178/ijiet.2022.12.7.1666
F, S., Mahesh, Indrani, & Laxmi, L. (2022). Augmented Reality in Education. International Journal for Research in Applied Science and Engineering Technology, 10(9), 1734–1739. https://doi.org/10.22214/ijraset.2022.46915
García-Magariño, I., Chittaro, L., & Plaza, I. (2018). Corrigendum to “Bodily sensation maps: exploring a new direction for detecting emotions from user self-reported data” [International Journal of Human - Computer Studies (2018) 113, 32–47]. International Journal of Human-Computer Studies, 120, 125. https://doi.org/10.1016/j.ijhcs.2018.03.001
Garzón, J., & Acevedo, J. (2019). Meta-analysis of the impact of Augmented Reality on students’ learning gains. Educational Research Review, 27, 244–260. https://doi.org/10.1016/j.edurev.2019.04.001
Henssen, D. J. H. A., van den Heuvel, L., Jong, G. De, Vorstenbosch, M. A. T. M., van Cappellen van Walsum, A., den Hurk, M. M. Van, Kooloos, J. G. M., & Bartels, R. H. M. A. (2020). Neuroanatomy Learning: Augmented Reality vs. Cross‐Sections. Anatomical Sciences Education, 13(3), 353–365. https://doi.org/10.1002/ase.1912
Hwang, G.-J., & Chien, S.-Y. (2022). Definition, roles, and potential research issues of the metaverse in education: An artificial intelligence perspective. Computers and Education: Artificial Intelligence, 3, 100082. https://doi.org/10.1016/j.caeai.2022.100082
Ibáñez, M.-B., & Delgado-Kloos, C. (2018). Augmented reality for STEM learning: A systematic review. Computers & Education, 123, 109–123. https://doi.org/10.1016/j.compedu.2018.05.002
Kamińska, D., Zwoliński, G., Laska-Leśniewicz, A., Raposo, R., Vairinhos, M., Pereira, E. T., Urem, F., Hinić, M. L., Haamer, R. E., & Anbarjafari, G. (2023). Augmented Reality: Current and New Trends in Education. Electronics, 12(16), 3531. https://doi.org/10.3390/electronics12163531
Karasmanaki, E., Galatsidas, S., & Tsantopoulos, G. (2019). An Investigation of Factors Affecting the Willingness to Invest in Renewables among Environmental Students: A Logistic Regression Approach. Sustainability, 11(18), 5012. https://doi.org/10.3390/su11185012
Koumpouros, Y. (2024). Revealing the true potential and prospects of augmented reality in education. Smart Learning Environments, 11(1). https://doi.org/10.1186/s40561-023-00288-0
Küçük, S., Kapakin, S., & Göktaş, Y. (2021). Learning anatomy via mobile augmented reality: Effects on achievement and cognitive load. Anatomical Sciences Education, 9(5), 411–421. https://doi.org/10.1002/ase.1603
Lam, M. C., Lim, S. M., & Tan, S. Y. (2023). User Evaluation on a Mobile Augmented Reality Game-based Application as a Learning Tool for Biology. TEM Journal, 550–557. https://doi.org/10.18421/tem121-65
Lin, C.-C., Huang, A. Y. Q., & Lu, O. H. T. (2023). Artificial intelligence in intelligent tutoring systems toward sustainable education: a systematic review. Smart Learning Environments, 10(1). https://doi.org/10.1186/s40561-023-00260-y
Lohmüller, V., Schmaderer, D., & Wolff, C. (2019). A Heuristic Checklist for Second Screen Applications. I-Com, 18(1), 55–65. https://doi.org/10.1515/icom-2019-0003
Masood, T., & Egger, J. (2019). Augmented reality in support of Industry 4.0—Implementation challenges and success factors. Robotics and Computer-Integrated Manufacturing, 58, 181–195. https://doi.org/10.1016/j.rcim.2019.02.003
Moro, C., Štromberga, Z., Raikos, A., & Stirling, A. (2017). The effectiveness of virtual and augmented reality in health sciences and medical anatomy. Anatomical Sciences Education, 10(6), 549–559. https://doi.org/10.1002/ase.1696
Mustafa, K. (2018). The impact of augmented reality on student achievement and motivation in a biology course. Journal of Education and Training Studies, 6(1), 88–96. https://doi.org/10.11114/jets.v6i1.2829
Noveanu, S., Ivan, I. A., Noveanu, D. C., Rusu, C., & Lates, D. (2020). SiMFlex Micromanipulation Cell with Modular Structure. Applied Sciences, 10(8), 2861. https://doi.org/10.3390/app10082861
Ortiz, J., Chang, S.-H., Chih, W.-H., & Wang, C.-H. (2017). The contradiction between self-protection and self-presentation on knowledge sharing behavior. Computers in Human Behavior, 76, 406–416. https://doi.org/10.1016/j.chb.2017.07.031
Papanastasiou, G., Drigas, A., Skianis, C., Lytras, M., & Papanastasiou, E. (2019). Virtual and augmented reality effects on K-12, higher and tertiary education students’ twenty-first century skills. Virtual Reality, 23(4), 425–436. https://doi.org/10.1007/s10055-018-0363-2
Saltan, F., & Arslan, Ö. (2021). The Use of Augmented Reality in Formal Education: A Scoping Review. EURASIA Journal of Mathematics, Science and Technology Education, 13(2). https://doi.org/10.12973/eurasia.2017.00628a
Sharif, M., & Uckelmann, D. (2024). Multi-Modal LA in Personalized Education Using Deep Reinforcement Learning Based Approach. IEEE Access, 12, 54049–54065. https://doi.org/10.1109/access.2024.3388474
Sirakaya, M., & Sirakaya, D. A. (2018). Trends in Educational Augmented Reality Studies: A Systematic Review. Malaysian Online Journal of Educational Technology, 6(2), 60–74. https://doi.org/10.17220/mojet.2018.02.005
Tekedere, H., & Göker, H. (2021). Examining the effectiveness of augmented reality applications in education: A meta-analysis. International Journal of Environmental and Science Education, 11(16), 9469–9481. Google Scholar
Than, M. Z., & Yap, K. M. (2024). Enhancing Medical Anatomy Education through Virtual Reality (VR): Design, Development, and Evaluation. ArXiv (Cornell University). https://doi.org/10.48550/arxiv.2411.05106
Topalli, D., & Cagiltay, N. E. (2018). Improving programming skills in engineering education through problem-based game projects with Scratch. Computers & Education, 120, 64–74. https://doi.org/10.1016/j.compedu.2018.01.011
Trelease, R. B. (2021). From chalkboard, slides, and paper to e‐learning: How computing technologies have transformed anatomical sciences education. Anatomical Sciences Education, 9(6), 583–602. https://doi.org/10.1002/ase.1620
Wang, J., Li, W., Dun, A., & Ye, Z. (2023). 3D Visualization Technology for Learning Human Anatomy among Medical Students and Residents: A Meta- and Regression Analysis. Research Square (Research Square). https://doi.org/10.21203/rs.3.rs-3703399/v1
Wang, Y. H. (2017). Using augmented reality to support a software-assisted learning environment for complex laboratory skills. Computers in Human Behavior, 76, 168–179. https://doi.org/10.1016/j.chb.2017.07.031
Wu, H.-K., Lee, S. W.-Y., Chang, H.-Y., & Liang, J.-C. (2022). Current status, opportunities and challenges of augmented reality in education. Computers & Education, 62, 41–49. https://doi.org/10.1016/j.compedu.2012.10.024
Xu, J., Qu, Y., Xu, M., & Chen, M. (2022). Research on improved Unet in microscopic image segmentation of esophageal cancer. Journal of Physics: Conference Series, 2400(1), 12021. https://doi.org/10.1088/1742-6596/2400/1/012021
Yao, Y., Wang, J., Xu, J., Hu, Y., Ren, J., Pei, C., Wang, W., & Xiao, K. (2019). A brief analysis of the power cable planning and design of the utility tunnel. Journal of Physics: Conference Series, 1314(1), 12050. https://doi.org/10.1088/1742-6596/1314/1/012050
Zammit, C., Calleja‐Agius, J., & Azzopardi, E. (2022). Augmented reality for teaching anatomy. Clinical Anatomy, 35(6), 824–827. https://doi.org/10.1002/ca.23920
Zhang, H., Li, R., Lu, K., Gu, X., Sang, R., & Li, D. (2024). Dynamic Behavior of Twin-Spool Rotor-Bearing System with Pedestal Looseness and Rub Impact. Applied Sciences, 14(3), 1181. https://doi.org/10.3390/app14031181
Zhang, Y., & Juraso, D. (2020). AI in biology education: Intelligent systems for interactive learning. Journal of Educational Computing Research, 58(4), 1–22. https://doi.org/10.1177/0735633120905432