AI Based Course Suggestion Portfolio
Year: 2024
Type: article
Abstract: The rapid expansion of online education platforms has fundamentally changed the way students engage with learning opportunities. Students now have access to a vast array of courses, offered by different institutions, in various fields of study, and at different levels. [1] However, with such an overwhelming selection, choosing the right courses that align with a student's academic path, interests, and career aspirations can be a daunting task. Traditional course recommendation systems, which have relied on simple rule-based or manual methods, often fall short of addressing the diverse and evolving needs of modern learners. [5] To solve these challenges, this paper proposes the development of an AI-powered course suggestion system that adapts to the individual needs of each student by using advanced machine learning techniques. Unlike traditional systems, which are confined to static rules or rigid structures, the AI-based system is designed to learn from each student's behaviour, interactions, and academic profile to offer personalized course recommendations that evolve over time.
Authors: Ritik Raushan, Sangam Kumari, Sanskriti Singh, Pawan Mishra, Dr.Vikas Singhal, Dr.Ajay Sahu
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: diamond
OpenAlex ID: W4405368773