Application and Optimization Research of Game Engines in Interactive Courseware Production
- DOI
- 10.2991/978-94-6239-737-8_68How to use a DOI?
- Keywords
- Courseware Production; Game Engine; Interactive Courseware; Digital Media Technology
- Abstract
Traditional courseware suffers from limited interactivity and visual presentation, failing to meet the demands of application-oriented digital media education. This study employs Unreal Engine to develop interactive courseware for a Film Editing course. Compared with PowerPoint-based courseware, the UE-based courseware demonstrates clear advantages in interactivity, non-linear navigation, and visual effects. However, production time reaches 121 hours for the first module, primarily consumed by blueprint logic and Widget interface design. Three optimization strategies are proposed: resource sharing, workflow streamlining, and cross-disciplinary collaboration. These strategies reduced sub-sequent production cycles by 22%–72%, yet the time ultimately converges to approximately ten times that of PowerPoint, indicating persistent rigid costs. The study provides practical reference for courseware digitization in art and design education.
- Copyright
- © 2026 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Zhiguo Wang AU - Fuhui Chen AU - Jing Yang AU - Yixin Pan PY - 2026 DA - 2026/08/18 TI - Application and Optimization Research of Game Engines in Interactive Courseware Production BT - Proceedings of the 2026 5th International Conference on Art Design and Digital Technology (ADDT 2026) PB - Atlantis Press SP - 576 EP - 582 SN - 2352-538X UR - https://doi.org/10.2991/978-94-6239-737-8_68 DO - 10.2991/978-94-6239-737-8_68 ID - Wang2026 ER -