Exploring the Impact of ChatGPT on Students' Engagement and Motivation: A Demographic Perspective

AI-powered education is becoming increasingly prevalent in the global educational system. ChatGPT, an AI tool, significantly improves the dynamics of schooling by accelerating students' academic achievement to new heights using their various demographic information while engaging learners' thinking attributes. Thus, the study sought to explore the impact of ChatGPT on students' academic engagement and motivation using student demographics as a lens. The study used a quantitative research technique. The descriptive survey included all undergraduate students from public and private universities in Karachi. The researcher applied purposive and snowball sampling techniques to choose a sample of 400 undergraduate students. The study collected data using a questionnaire and analyzed it using SPSS. The findings indicated that male and female undergraduate students enrolled in any semester of any degree program at any department of Karachi's public and private-sector universities had the same level of academic engagement and motivation while utilizing ChatGPT in online learning settings. Therefore, the study offered useful information for policymakers, educators, and practitioners to develop more successful ways for incorporating current AI techniques into Karachi's higher education system.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-01
DOI
https://doi.org/10.5281/zenodo.15249611
Primary Topic
Subterranean biodiversity and taxonomy
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Exploring the Impact of ChatGPT on Students' Engagement and Motivation: A Demographic Perspective

Zenodo (CERN European Organization for Nuclear Research)
Subterranean biodiversity and taxonomy
article

Exploring the Impact of ChatGPT on Students' Engagement and Motivation: A Demographic Perspective

article en

Abstract

AI-powered education is becoming increasingly prevalent in the global educational system. ChatGPT, an AI tool, significantly improves the dynamics of schooling by accelerating students' academic achievement to new heights using their various demographic information while engaging learners' thinking attributes. Thus, the study sought to explore the impact of ChatGPT on students' academic engagement and motivation using student demographics as a lens. The study used a quantitative research technique. The descriptive survey included all undergraduate students from public and private universities in Karachi. The researcher applied purposive and snowball sampling techniques to choose a sample of 400 undergraduate students. The study collected data using a questionnaire and analyzed it using SPSS. The findings indicated that male and female undergraduate students enrolled in any semester of any degree program at any department of Karachi's public and private-sector universities had the same level of academic engagement and motivation while utilizing ChatGPT in online learning settings. Therefore, the study offered useful information for policymakers, educators, and practitioners to develop more successful ways for incorporating current AI techniques into Karachi's higher education system.

Zenodo (CERN European Organization for Nuclear Research)
Quality Education
Openalex Percentile: Top 53%
Subterranean biodiversity and taxonomy
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.

Exploring the Impact of ChatGPT on Students' Engagement and Motivation: A Demographic Perspective · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS