International Journal For Multidisciplinary Research

E-ISSN: 2582-2160     Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 6 Issue 6 November-December 2024 Submit your research before last 3 days of December to publish your research paper in the issue of November-December.

AI Enabled Personalized Learning Platform

Author(s) Niranjan Murthy C, Kavya S, Hemalatha M R, Kousalya M D, Kavyashree M
Country India
Abstract The AI-powered individualized learning environment designed specifically for teaching programming. The platform makes it easier for users to log in, choose a domain, take interactive tests, assess their performance, and receive personalized video recommendations based on how well students perform. Understanding the value of individualized instruction in programming, the platform dynamically adjusts to each user's skill level and learning goals. Front-end and back-end technologies are seamlessly integrated to allow users to take quizzes specific to the domain they have chosen, get instant response, and get performance reviews.
The website makes recommendations for videos based on users' skill levels. The architecture, functionality, user experience, implementation specifics, evaluation outcomes, and future directions of the platform are all made clear in this document. Through providing insights into AI-powered tailored learning, this study advances teaching methodologies and gives students more confidence when it comes to programming.
Keywords Artificial intelligence, programming education, student involvement, algorithmic bias, moral considerations, new technologies, recommendation engines, user interfaces, and performance evaluations
Field Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In Volume 6, Issue 3, May-June 2024
Published On 2024-06-27
Cite This AI Enabled Personalized Learning Platform - Niranjan Murthy C, Kavya S, Hemalatha M R, Kousalya M D, Kavyashree M - IJFMR Volume 6, Issue 3, May-June 2024. DOI 10.36948/ijfmr.2024.v06i03.23253
DOI https://doi.org/10.36948/ijfmr.2024.v06i03.23253
Short DOI https://doi.org/gt243m

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