Abstract:Computer graphics, as one of important courses related computer and related disciplines, attaches equal importance to both theories and practices. It is a highly practical preparatory course for digital image pattern recognition and 3D animation programming. In light of problems encountered by students in learning complicated algorithms of computer graphics, this study proposes integrating virtual experiments into teaching, in order that abstract objects and operations in algorithms can be visualized and algorithms can become easier to understand for the final purpose of improving teaching. The results suggest that significant improvements have been observed in Class 16A compared with Class 15A. The average scores have increased to 55.62 points in Class 16A, where the maximum and minimum scores have rose by 11 and 1 respectively, while an 8.1% increase has been detected in the pass rate. According to related experimental data, classroom teaching has achieved relatively ideal outcomes.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.