Authors :
Yashodha Sambrani; Mohan Lamani; Prasanna Kumar; Bhavana Borah; Pragati
Volume/Issue :
Volume 9 - 2024, Issue 4 - April
Google Scholar :
https://tinyurl.com/597hp9jn
Scribd :
https://tinyurl.com/3cbvke4n
DOI :
https://doi.org/10.38124/ijisrt/IJISRT24APR1485
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.
Keywords :
Personalized Assistance System, Slow Learners, Machine Learning, Education, Adaptive Learning.
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.
Keywords :
Personalized Assistance System, Slow Learners, Machine Learning, Education, Adaptive Learning.
