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 4 July-August 2024 Submit your research before last 3 days of August to publish your research paper in the issue of July-August.
Submit Research Paper Join as a Reviewer

Plagiarism is checked by the leading plagiarism checker TurnItIn

Call for Paper

Volume 6 Issue 4
July-August 2024

Submit your research paper

Indexing Partners
Academia Advanced Sciences Index Bielefeld Academic Search Engine CiteSeer DRJI Google Scholar Independent Search Engine & Directory Network ISI (International Scientific Indexing) Issuu Mendeley Research Networks
RefSeek ResearcherId - Thomson Reuters ResearchGate Scirus Scribd Semantic Scholar UTeM - Universiti Teknikal Malaysia Melaka Wiki for Call for Papers WorldCat Zenodo

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
View / Download PDF File

Share this



E-ISSN 2582-2160
CrossRef

CrossRef DOI is assigned to each research paper published in our journal.

IJFMR DOI prefix is
10.36948/ijfmr

Downloads
Research Paper Format Copyright Permission Form and Undertaking Form Cover Page Vol 6 Isu 4 Cover Page Vol 6 Isu 3 Cover Page Vol 6 Isu 2

All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.

CC-BY-SA Open Access

About IJFMR
Fees & Payment
Current Issue
Publication Archive 		Submit Research Paper
Track Submission Status
Publication Guidelines
Publication Ethics
Peer Review & Plagiarism 		Join as a Reviewer
Editors & Reviewers
Reviewer Referral Program
Get Reviewer Membership Certi. 		Website/Journal Policies
Usage Policy
Content Policies
Privacy Policy
Contact Us +91-9898-5948-55 editor@ijfmr.com