Author:
Sambrani Yashodha,Lamani Mohan,Kumar Prasanna,Borah Bhavana,. Pragati
Abstract
The Personalized Learning Assistance System (PLAS) is an innovative platform that utilizes AI/ML algorithms to cater to the diverse needs of slow learners in educational institutions. By analysing student learning behaviours, PLAS categorizes them into appropriate groups and provides tailored support. Slow learners can access the system through a dedicated portal, where they can seek assistance from their peers, available teachers, or engage with e-learning videos. The platform also features a portal for advanced learners, enabling them to mentor and guide their peers or access additional e- learning resources. Furthermore, teachers can log into the system to upload student performance data and identify those who require extra support. PLAS aims to foster an inclusive learning environment by leveraging technology to personalize the educational experience, ultimately empowering slow learners to achieve academic successthrough a comprehensive support network.
Publisher
International Journal of Innovative Science and Research Technology
Reference22 articles.
1. Govt. V.Y.T. PG Autonomous College, Durg, “Guidelines for Identification and Activities for Slow and Advanced Learners of Institution”, Internal Qaulity Assurance Cell (IQAC).
2. Government College Bichhua, Chhindwara, M.P, “Policy on Advanced Learner & Slow Learner”, HigherEducation.mp.gov.in, May 2017.
3. Mustafa Agaoglu, “Predicting Instructor Performance Using Data Mining Techniques in Higher Education”, IEEE Access, June 2016.
4. Ijaz Khan et al., “An artifcial intelligence approach to monitor student performance and devise preventive measures”, Springer Open, 2021.
5. K. Hemachandran et al., “Artificial Intelligence: A Universal Virtual Tool to Augment Tutoring in Higher Education”, Hindawi, 2022.
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Review on Aerated Lightweight Concrete Challenges and Application;International Journal of Innovative Science and Research Technology (IJISRT);2024-05-02