Learnly: Virtual AI Co-Instructor with adaptive learning

The fast process of digitization of education has increased availability of knowledge but has revealed significant lapses in student engagement and learning. Current education systems that work on one-size-fits-all theory are unable to accommodate different learning styles, learning progressions and learning situations. Moreover, these systems tend to result in a lack of engagement, adaptiveness and personalized learning. Unregulated AI applications will spread biased and unethical information in edtech ecosystems. The Virtual AI Co-Instructor is an idea that will solve these challenges by implementing an innovative AI-powered system that combines Large Language Models (LLMs) with Retrieval-Augmented Generation (RAG) and provides context-based and personalized learning opportunities with the principles of Outcome-Based Education (OBE). Improving the state of the art with generating personalized adaptive quizzes, content sequencing based on personal competencies and skills. It also incorporates an adaptable centralized moderator system that offers real time filtering of ethical, scalable advice on safety attributes such as hate speech, violence, and misinformation. Overall, this approach ensures ethical deployment across all platforms. This project will make AI a safe and fair co-instructor by allowing the personalized and adaptive knowledge enhancement and automated feedback. Its effectiveness will be proved with the help of a pilot study focusing on Namal University students

Poster