Adaptive E-learning Platform with AI-powered Personalised Learning Analytics

This project focuses on creating an adaptive e-learning platform that utilises AI-powered learning analytics to personalise the learning experience for students. By combining data science and educational sciences, a system that analyses student data, such as performance in quizzes, engagement patterns, and learning style preferences, can be developed. Both raw and enhanced data will be used to generate personalized learning paths, recommend relevant resources, and identify areas where students need additional support. This project will require designing and implementing a data collection infrastructure within the e-learning platform. Machine learning algorithms will then be used to analyse this data and identify patterns related to student performance and learning styles. Integration with adaptive learning techniques will allow the platform to adjust the difficulty level of content, recommend additional learning materials, and personalise teaching approaches based on individual student needs.