Artificial Intelligence-Powered Personalized Education Analysis and Recommendation System
Online education platforms, as one of the fastest-growing sectors of the digital world, have significantly transformed educational processes. However, the vast majority of these platforms focus on video-based content, making it difficult for users to fully utilize educational materials. This leads to low completion rates, inefficient learning processes, and users unable to reach their potential due to difficulties accessing information. Furthermore, for educators, transferring their content to digital platforms poses a significant obstacle due to a lack of technical knowledge or equipment, further complicating the sharing of knowledge and experience. In addition to these shortcomings, the rapidly growing audio-based content markets, such as podcasts and audiobooks, in the personal development field, offer a significant solution by providing quick and easy access for users and streamlining content production processes for educators. However, the inability to customize this content to suit individual learning habits indicates that this potential is not being fully utilized.
COBIDU’s AI-Powered Personalized Education and Content Recommendation System combines the strengths of eLearning and audio content marketplaces to optimize users’ learning processes based on individual needs. By analyzing users’ educational consumption behavior with AI algorithms, it:
- Identifies users’ weaknesses,
- In which areas they are stronger and more prone to learning,
- Creating customized learning roadmaps based on individual performance and learning trends.