Teaching and Learning Enhancement using Computer Vision and Generative AI
This research introduces a new method for classroom teaching development which combines intelligent AI components with gesture programming solutions and team-based tooling. Users can perform blackboard activities by writing drawings through the Virtual Hand-Controlled Blackboard system using hand gestures. Users can use this function to both record and download sessions to enhance their study capabilities. Through its AI-Powered Quiz Platform that runs on GeniusAI the system turns existing documents into quizzes which both tracks teacher monitoring of student progress and allows students to build customized assessments that boost their autonomous learning abilities. The Collaborative Chat System allows instant query resolutions between educators and learners to enhance their communication efforts. Students can access notas well as recorded classes through the system which makes knowledge consolidation easier to handle. The system delivers Multilingual Support by providing users access to their native language notes in audio and video formats which breaks down language obstacles. This teaching approach includes interactive and accessible and personalized elements to transform traditional education while enabling teachers and students to adapt their educational practices to present-day learning needs.
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-03-03
- DOI
- https://doi.org/10.5281/zenodo.14949831
- Primary Topic
- Developmental Biology and Gene Regulation
- Type
- article
- Field-Weighted Citation Impact
- 0.00