IMPACT OF AI ON LEARNING SPEED AND OUTCOMES IN CHENNAI

This study examines the impact of Artificial Intelligence (AI) on students’ learning speed and academic outcomes in Chennai. With the increasing integration of AI tools in education, understanding their benefits and challenges is crucial. Data was collected from 200 students using a structured questionnaire and analyzed through statistical techniques including the Chi-square test and ranking methods. The findings reveal that AI significantly enhances personalized learning and access to diverse resources, improving student engagement and feedback. However, challenges such as lack of technical skills, resistance to change, and privacy concerns hinder effective implementation. The study suggests that addressing these challenges through training, awareness, and secure AI applications can maximize AI’s potential in education. The research contributes valuable insights for educators, policymakers, and technology developers aiming to foster AI-driven learning environments.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-23
DOI
https://doi.org/10.5281/zenodo.15498396
Primary Topic
Online Learning and Analytics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

IMPACT OF AI ON LEARNING SPEED AND OUTCOMES IN CHENNAI

Zenodo (CERN European Organization for Nuclear Research)
Online Learning and Analytics
article

IMPACT OF AI ON LEARNING SPEED AND OUTCOMES IN CHENNAI

article en

Abstract

This study examines the impact of Artificial Intelligence (AI) on students’ learning speed and academic outcomes in Chennai. With the increasing integration of AI tools in education, understanding their benefits and challenges is crucial. Data was collected from 200 students using a structured questionnaire and analyzed through statistical techniques including the Chi-square test and ranking methods. The findings reveal that AI significantly enhances personalized learning and access to diverse resources, improving student engagement and feedback. However, challenges such as lack of technical skills, resistance to change, and privacy concerns hinder effective implementation. The study suggests that addressing these challenges through training, awareness, and secure AI applications can maximize AI’s potential in education. The research contributes valuable insights for educators, policymakers, and technology developers aiming to foster AI-driven learning environments.

Zenodo (CERN European Organization for Nuclear Research)
Quality Education
Openalex Percentile: Top 56%
Online Learning and Analytics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.