Transforming E-Learning: The Impact of CampusIQ
The problem of fitting in the individual learning needs in traditional e-learning environments and LMS has frequently generated learner disinterest and raised attrition rates. Many of these traditional solutions are usually uniform, ignoring the fact that students have different strengths and weaknesses. Despite the extensive functionality of such online education systems, they do not significantly impact a student’s progress. To address these challenges, we propose CampusIQ, an AI-driven gamified application built using Flutter. This system is made to serve the purpose for its users throughout their education by embedding adaptive learning via analytics and recommendations engine. CampusIQ relies on artificial intelligence which performs a detailed analysis of student data right from the time they board, by using class averages, and individual performance metrics among others. For each student, it creates a personalized plan for every learner that can recognize all areas in need of improvement or that are strong points for him/her leading to excellence. Moreover, the incorporation of game mechanics promotes engagement and motivation levels hence transforming a dull monotonous process into an interesting personalized experience. This paper presents the architecture, methodology, and results of CampusIQ, demonstrating its effectiveness in addressing traditional educational shortcomings and offers an example of how to deal with the conventional educational defects and promote adaptive education by enhancing engagement and increasing learning productivity and memory rates in students. Our comprehensive evaluation shows that there are noteworthy improvements in academic performance, memorization rates, and stress management, indicating that CampusIQ could potentially disrupt traditional education methods.
Authors
- Mukund
- Pushkar Sharma (ORCID: https://orcid.org/0000-0001-6861-0508)
- Ravindra Kumar Sharma (ORCID: https://orcid.org/0000-0002-1086-609X)
- Utkarsh Varman
- A. Jeetashree
Institutions
- Vellore Institute of Technology University (IN)
Publication Details
- Published
- 2024-10-25
- DOI
- https://doi.org/10.1109/gccit63234.2024.10862637
- Primary Topic
- Online and Blended Learning
- Type
- article
- Field-Weighted Citation Impact
- 0.00