AI Based Course Suggestion Portfolio
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
- Dipansu Sahu
- Pawan Mishra (ORCID: https://orcid.org/0000-0003-3714-7834)
- Ritik Raushan
- Sanskriti Singh
- Dr.Vikas Singhal
- Swati Kumari
Publication Details
- Journal
- International Journal of Innovative Research in Advanced Engineering
- Published
- 2024-12-13
- DOI
- https://doi.org/10.26562/ijirae.2024.v1112.03
- Primary Topic
- Online Learning and Analytics
- Type
- article
- Field-Weighted Citation Impact
- 0.00