Project Abstract

In an era where education is becoming increasingly dominant, there is a need for innovative solutions that can ensure engaging and effective learning experiences for students. Our project aims to develop an AI-enhanced personalized learning platform designed to cater to the diverse needs of remote/online learners. This platform uses advanced AI algorithms to dynamically adapt the content, pace, and difficulty level of lessons based on each learner’s progress and learning style. Leveraging ML techniques, it will provide personalized recommendations for educational resources such as articles, videos, books, and interactive materials, aligned with each student?��s preferences, interests, and learning goals. Automated assessment tools will offer timely and constructive feedback on assignments, quizzes, and tests eventually enhancing learning outcomes. Identifying that every student has unique strengths, weaknesses, and interests, the platform will generate customized learning paths for each individual, ensuring students pursue their educational goals at their own pace. Additionally, AI-powered chatbots will provide additional support and guidance to learners. This platform will also help us know which courses are learners interested in, and which areas the learners should change their learning strategies so they can complete courses in a faster and easier way. Facilitating interaction among students will enhance learning experiences through AI-driven platforms for group projects, discussions, and peer feedback. By integrating these key features, our AI-enhanced web based learning platform aims to revolutionize the landscape of remote education, providing students with the support, flexibility, and engagement they need to succeed in their educational journey.

Keywords: Artifical Intelligence, Machine Learing, K – means clustering

 Conference Details

Session: Presentation Stream 9 at Presentation Slot 9

Location: GH022 at Tuesday 7th 13:30 – 17:00

Markers: Raziyeh Moghaddas (GTA), Ulrich Berger

Course: MSc Data Science, Masters PG

Future Plans: I’m looking for work