Empowering Computer Vision in Higher Education: A Novel Tool for Enhancing Video Coding Comprehension

Abstract

The growing demand for skilled computer vision professionals requires effective educational approaches. This study explores a novel tool based on Virtual Programming Language principles designed to enhance computer vision education, specifically in video coding. The tool leverages a user-friendly interface and a custom widget library for video exploration, enabling students to engage with video data manipulation, motion estimation simulations, and visualization of coding effects. A controlled experiment with computer vision students from a university master's program demonstrates that the tool significantly improves student motivation, knowledge acquisition, and overall learning outcomes. This study highlights the potential of such tools to revolutionize computer vision education, leading to better engagement, deeper understanding, and enhanced practical skills. Therefore, it paves the way for further exploration of similar tools in computer vision and other science, technology, engineering, and mathematics disciplines.