A five-in-one framework for international computer graphics education: Design, implementation and assessment

Minjing Yu; Yongjin Liu; Ran Yi; Aihua Mao; Paul Rosin

doi:10.54844/eer.2025.0898

Authors

Minjing Yu Tianjin University https://orcid.org/0000-0001-6755-2027
Yongjin Liu https://orcid.org/0000-0001-5774-1916
Ran Yi
Aihua Mao https://orcid.org/0000-0001-6861-9414
Paul Rosin

DOI:

https://doi.org/10.54844/eer.2025.0898

Keywords:

Computer Graphics, Internationalized Teaching, Teaching Innovation, Cross-Cultural Learning

Abstract

As an important component of computer science curricula, computer graphics education faces unprecedented challenges in meeting the demands of an increasingly globalized technical landscape. The expanding scope of applications has heightened the need for professionals with global competencies and cross-cultural collaboration capabilities. This paper addresses critical challenges in internationalizing computer graphics education, specifically focusing on the systematization of teaching models, development of international course pathways, enhancement of cross-cultural pedagogical practices, and advancement of faculty expertise in global contexts. Computer graphics offers distinct advantages as a platform for international education innovation—its visual-oriented characteristics enable direct communication across different cultural backgrounds, while its immediate visual feedback and shareable graphical results naturally facilitate cross-cultural exchange of ideas. Based on these characteristics, we propose a comprehensive “five-in-one” teaching framework that integrates international faculty team setup, diverse student recruitment, collaborative institutional platforms, cross-cultural competency development, and industry-academia partnerships. Through implementation at leading institutions, this framework has fostered an innovative pedagogical model characterized by the integration of research-based learning and cross-cultural collaboration. Empirical evidence demonstrates significant outcomes: enhanced international recognition of course quality, successful implementation of teaching innovations, and improved student achievement in both academic performance and professional development. The framework’s effectiveness is validated through multiple indicators, including recognition from world-class universities, student success in international competitions and research publications, and enhanced career outcomes for graduates. The experience and insights gained from this work not only advance the internationalization of computer graphics education but also provide valuable reference and inspiration for the international teaching reform of other computer science courses.

References

Billinghurst, M., Clark, A., & Lee, G. (2015). A Survey of Augmented Reality. Foundations and Trends in Human-Computer Interaction, 8(2-3), 73-272.

Botsch, M. (2010). [Polygon Mesh Processing]. 1st ed. A K Peters/CRC Press.

Bridson, R. (2015). [Fluid Simulation for Computer Graphics]. 2nd ed. AK Peters/CRC Press.

Crawley, E. F., Malmqvist, J., Sören Östlund, et al. (2014). The CDIO Approach. Rethinking Engineering Education, 19(5), 1-5.

de Wit, H., & Altbach, P. G. (2021). Internationalization in Higher Education: Global Trends and Recommendations for its Future. Policy Reviews in Higher Education, 5(1), 28-46.

Encarnacao, J. L., Lindner, R., & Schlechtendahl, E. G. (2012). [Computer Aided Design: Fundamentals and System architectures]. 2nd rev. and ext. ed. Springer Science & Business Media.

Gu, B. (2023). Division and Integration of Theory and Practice. Engineering Education Review, 1(1), 16-21.

Haines, E. & Akenine-Möller, T. (2019). [Ray Tracing Gems: High-Quality and Real-Time Rendering with DXR and other APIs]. 1st ed. Apress.

Hansen, C. D., & Johnson, C. R. (2011). [Visualization Handbook]. 1st ed. Academic Press.

Han, Y., Zhan, I. H., Zeng, L., et al. (2024). PCKRF: Point Cloud Completion and Keypoint Refinement with Fusion Data for 6D Pose Estimation. IEEE Transactions on Visualization and Computer Graphics. https://doi.org/10.1109/TVCG.2024.3390122.

Han, Y., Zhan, I. H., Zhao, W., et al. (2022). A Double Branch Next-Best-View Network and Novel Robot System for Active Object Reconstruction. Proceedings of the International Conference on Robotics and Automation (ICRA), 7306-7312.

Jadoon, A. K., Wu, C., Liu, Y. J., et al. (2018). Interactive Partitioning of 3D Models into Printable Parts. IEEE Computer Graphics and Applications, 38(4), 38-53.

LaValle, S. M. (2023). [Virtual Reality]. 1st ed. Cambridge University Press.

Lin, Y., Mao, A., Guo, F., & Chen, P. (2020). [Exploration on Database Course Experimental Teaching for Non-computer Majors]. Laboratory Science, 23(5), 233-235.

Liu, Y., Xiao, Y., & He, X. (2024). What Core Competencies Should a Great Engineer Possess—A Comparative Study from the Perspective of Engineering Undergraduates in China and the United States. Engineering Education Review, 2(3), 109-119.

Liu, Y. J., & Luo, X. (2010). [Case Study on Teaching CAD in a University General Elective Course]. Computer Science, 37(10 supp), 10-14.

Mao, A., Chen, J., & Liu, Y. J. (2024). Improving Knowledge Tracing via Considering Conceptual Structure and Individual Differences. Proceedings of ACM Turing Award Celebration Conference - CHINA 2024, TURC 2024, 59-65.

Mao, A., & Luo, J. (2019). A Light-weight Mobile Education App for 3D Modelling Course Teaching. Proceedings of the 3rd International Conference on Digital Technology in Education, 223-227.

Mao, A., Zhang, X., Lin, Y, et al. (2019). Fusion of Research Project in Undergraduate Subject Course Teaching: The Case of South China University of Technology. Proceedings of the 11th International Conference on Education Technology and Computers, 30-33.

Mao, A., Zhang, X., & Zhan, Z. H. (2022). [Computer Major with the Trinity of “Knowledge-Ability-Quality” Mass Entrepreneurship and Education System]. Computer Education, 1, 2-5.

Mao, A., & Zhang, X. (2014). [Exploration of English-Taught Teaching Reform for Core Courses in Computer Science]. Computer Education, 15, 60-63.

Marschner, S., & Shirley, P. (2021). [Fundamentals of Computer Graphic]. 5th ed. CRC Press.

Pharr, M., Jakob, W., & Humphreys, G. (2016). [Physically Based Rendering: From Theory to Implementation]. 3rd ed. Morgan Kaufmann Publishers.

Parent, R. (2012). [Computer Animation: Algorithms and Techniques]. 3rd ed. Morgan Kaufmann Publishers.

Qin, Z., & Ding, M. (2024). Reflections on Educational Reform Supporting Build China into A World Leader in Science and Technology. Engineering Education Review, 2(1), 19-27.

Mao, A., & Zhang, X. (2015). [The Application of UK Higher Education Teaching Philosophies in English-Taught Computer Science Courses]. Computer Education,14, 71-74.

Ye, S., Hu, Y., Lin, M., et al. (2024). Indoor Scene Reconstruction with Fine-Grained Details Using Hybrid Representation and Normal Prior Enhancement. IEEE Transactions on Visualization and Computer Graphics. https://doi.org/10.1109/TVCG.2024.3444036.

Sheng, J., Lin, M., Zhao, A., et al. (2024). Exploring Text-to-Motion Generation with Human Preference. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 1888-1899.

Shaheed, K., Mao, A., Qureshi, I., et al. (2021). A Systematic Review on Physiological-Based Biometric Recognition Systems: Current and Future Trends. Archives of Computational Methods in Engineering, 28, 4917-4960.

Shaheed, K., & Qureshi, I. (2024). A Hybrid Proposed Image Quality Assessment and Enhancement Framework for Finger Vein Recognition. Multimedia Tools and Applications, 83(5), 15363-15388.

Vygotsky, L. S., & Cole, M. (1978). [Mind in society: Development of higher psychological processes]. 1st ed. Harvard University Press.