journal article·2025-09-20Open access

Development of a Virtual Robotic System for Learning Spatial Vector Concepts in Junior High Schools

Ting-Yun Chang, Yu-Jung Wu, Wernhuar Tarng

Applied Sciences· Volume 15· Issue 18

Abstract

This study aims to address the challenges junior high school students often encounter when learning abstract spatial vector concepts. By developing and implementing a virtual robotic system, this research intends to improve students’ spatial reasoning, deepen their conceptual understanding, and increase engagement through an interactive, visual, and experiential learning environment that remedies the shortcomings of traditional teaching methods. The system was developed with the Unity Game Engine to deliver 3D visualization, interactive manipulation, and real-time feedback, thereby enhancing conceptual learning. In addition, the instructional design employed the ADDIE model (Analysis, Design, Development, Implementation, Evaluation) to enhance students’ understanding of spatial vector concepts. A quasi-experimental design was conducted involving 60 eighth-grade students divided evenly into experimental and control groups. Pre- and post-tests—including achievement assessments, learning attitude questionnaires, and cognitive load scales—were administered to evaluate learning outcomes. The main findings are as follows: (1) The experimental group demonstrated significantly higher learning achievement compared to the control group. (2) Both groups showed improvements in mathematics learning attitudes, with the experimental group exhibiting greater gains in practicality and confidence. (3) Although the experimental group experienced a slightly higher cognitive load, this difference was not statistically significant. (4) The experimental group reported high satisfaction with the system, especially in perceived usefulness. This study demonstrates that integrating virtual reality with the ADDIE model can substantially enhance learners’ conceptual understanding and motivation.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Robotics and Automated Systems · Augmented Reality Applications · Open Education and E-Learning

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Institute of Learning Sciences and Technologies, National Tsing Hua University, Hsinchu 30013, Taiwan

Funding

National Science and Technology Council (NSTC), Taiwan

References (43)

Show source-provided references
1. Fishbein, B., Foy, P., and Yin, L. (2021). TIMSS 2019 User Guide for the International Database, TIMSS & PIRLS International Study Center, Boston College. [2nd ed.]. Available online: https://timssandpirls.bc.edu/timss2019/international-database/.
2. OECD (2023). PISA 2022 Results (Volume I), OECD. Available online: https://www.oecd.org/en/publications/pisa-2022-results-volume-i_53f23881-en.html.
3. The Malleability of Spatial Skills: A Meta-Analysis of Training Studies10.1037/a0028446 ↗
4. Spatial Skills, Their Development, and Their Links to Mathematics. Monogr10.1111/mono.12280 ↗
5. Virtual Reality Technology10.1162/105474603322955950 ↗
6. Mütterlein, J. (2018, January 3–6). The Three Pillars of Virtual Reality? Investigating the Roles of Immersion, Presence, and Interactivity. Proceedings of the 51st Hawaii International Conference on System Sciences (HICSS), Waikoloa, HI, USA.10.24251/HICSS.2018.174 ↗
7. Investigating Learners’ Attitudes toward Virtual Reality Learning Environments: Based on a Constructivist Approach10.1016/j.compedu.2010.05.014 ↗
8. Dalgarno, B., and Hedberg, J. (2001, January 9–12). 3D Learning Environments in Tertiary Education. Proceedings of the 18th Conference of the Australasian Society for Computers in Learning in Tertiary Education, Melbourne, Australia.
9. Chavez, B., and Bayona, S. (2018). Virtual Reality in the Learning Process. Trends and Advances in Information Systems and Technologies, Springer.10.1007/978-3-319-77712-2_129 ↗
10. Dawley, L., and Dede, C. (2014). Situated Learning in Virtual Worlds and Immersive Simulations. Emerging Technologies for the Classroom, Springer.10.1007/978-1-4614-3185-5_58 ↗
11. Slater, M., and Sanchez-Vives, M. (2016). Enhancing Our Lives with Immersive Virtual Reality. Front. Robot. AI, 3.10.3389/frobt.2016.00074 ↗
12. Dalgarno, B., Hedberg, J., and Harper, B. (2025, May 09). The Contribution of 3-D Environments to Conceptual Understanding. Available online: https://www.researchgate.net/publication/221093731_The_Contribution_of_3-D_Environments_to_Conceptual_Understanding.
13. Tarng, W., Su, Y.-C., and Ou, K.-L. (2023). Development of a Virtual Reality Memory Maze Learning System for Application in Social Science Education. Systems, 11.10.3390/systems11110545 ↗
14. Tarng, W., and Hsu, J.-C. (2024). Development of a VR360 Ecological System for Learning Indigenous Cultures and Environmental Conservation. Appl. Sci., 14.10.3390/app142210582 ↗
15. Damaševičius, R., and Mikašytė, V. (2017). Virtual Reality in Education: New Ways to Learn. Information and Software Technologies, Proceedings of the ICIST 2017, Communications in Computer and Information Science, Druskininkai, Lithuania, 12–14 October 2017, Springer.10.1007/978-3-319-67642-5 ↗
16. A One-Year Case Study: Understanding the Rich Potential of Project-Based Learning in a Virtual Reality Class for High School Students10.1007/s10956-012-9431-7 ↗
17. A Meta-Analysis of the Effect of Virtual Reality Technology Use in Education10.1080/10494820.2021.1989466 ↗
18. Virtual Reality for Safety Training: A Systematic Literature Review and Meta-Analysis10.1016/j.ssci.2023.106372 ↗
19. Azarby, S., and Rice, A. (2022). Understanding the Effects of Virtual Reality System Usage on Spatial Perception: The Potential Impacts of Immersive Virtual Reality on Spatial Design Decisions. Sustainability, 14.10.3390/su141610326 ↗
20. Siciliano, B., and Khatib, O. (2016). Kinematics. Springer Handbook of Robotics, Springer.10.1007/978-3-319-32552-1 ↗
21. Groover, M.P. (2016). Automation, Production Systems, and Computer-Integrated Manufacturing, Pearson. [4th ed.].
22. Kovalčík, J., Špirková, S., and Straka, M. (2024, January 7–9). Utilization of Educational Robots in the Process of Design and Education. Proceedings of the 2nd EAI International Conference on Automation and Control in Theory and Practice, Orechová Potôň, Slovakia.10.1007/978-3-031-59238-6_5 ↗
23. WLKATA (2025, May 09). Robotics Education Solutions. Available online: https://www.wlkata.com/.
24. Román-Ibáñez, V., Pujol-López, F.A., Mora-Mora, H., Pertegal-Felices, M.L., and Jimeno-Morenilla, A. (2018). A Low-Cost Immersive Virtual Reality System for Teaching Robotic Manipulators Programming. Sustainability, 10.10.3390/su10041102 ↗
25. Kalaitzidou, M., and Pachidis, T.P. (2023). Recent Robots in STEAM Education. Educ. Sci., 13.10.3390/educsci13030272 ↗
26. Cognitive Load During Problem Solving: Effects on Learning10.1207/s15516709cog1202_4 ↗
27. Cognitive Load Theory and the Format of Instruction10.1207/s1532690xci0804_2 ↗
28. Using Electroencephalography to Measure Cognitive Load10.1007/s10648-010-9130-y ↗
29. Measurement of Cognitive Load in Instructional Research10.2466/pms.1994.79.1.419 ↗
30. Effects of the Physical Environment on Cognitive Load and Learning: Towards a New Model of Cognitive Load10.1007/s10648-014-9262-6 ↗
31. Branch, R.M. (2009). Prologue. Instructional Design: The ADDIE Approach, Springer.10.1007/978-0-387-09506-6 ↗
32. Branson, R.K., Rayner, G.T., Cox, J.L., Furman, J.P., King, F.J., and Hannum, W.H. (2025, May 09). Interservice Procedures for Instructional Systems Development (Phases I, II, III, IV, V, and Executive Summary), US Army Training and Doctrine Command Pamphlet, Available online: https://eric.ed.gov/?id=ED122022.
33. Developing the Self-Learning Interactive Module Using ADDIE Model for Year 5 Primary School Students
34. In Search of the Elusive ADDIE Model10.1002/pfi.4930420508 ↗
35. Jeffrey, A. (2010). An Introduction to Vector Spaces. Matrix Operations for Engineers and Scientists: An Essential Guide in Linear Algebra, Springer.10.1007/978-90-481-9274-8_7 ↗
36. Chisholm, J.S.R. (1978). Vectors in Three-Dimensional Space, Cambridge University Press.10.1017/CBO9780511569494 ↗
37. Spatial Thinking and STEM Education: When, Why, and How?10.1016/B978-0-12-394293-7.00004-2 ↗
38. Picture This: Increasing Math and Science Learning by Improving Spatial Thinking
39. Spatial Ability for STEM Domains: Aligning over 50 Years of Cumulative Psychological Knowledge Solidifies Its Importance10.1037/a0016127 ↗
40. Spatial Training Improves Children’s Mathematics Ability10.1080/15248372.2012.725186 ↗
41. The Relation between Spatial Skill and Early Number Knowledge: The Role of the Linear Number Line: Correction to Gunderson et al. (2012)10.1037/a0028593 ↗
42. Potential Negative Effects of Mobile Learning on Students’ Learning Achievement and Cognitive Load—A Format Assessment Perspective
43. Cognitive architecture and instructional design10.1023/A:1022193728205 ↗