Perceptions of Scientific College Students about Using AI Applications in Education

Abstract As artificial intelligence ( ai ) continues to permeate various sectors, its potential impact on education has garnered significant attention. This study delved into the perceptions of scientific college students regarding the integration of ai applications in education The sample of the current study was 204 university students from Scientific Colleges of Al al-Bayt University (aabu) in Jordan The study took place in that university during the 1st semester of the academic year 2023/ 2024. Employing both qualitative and quantitative approaches, the study utilized a survey comprising seven items and four interview questions. The research anticipated a spectrum of perceptions among scientific college students regarding ai applications in education. While some expressed enthusiasm for benefits such as personalized learning and innovative resources, others harbored concerns about issues like data privacy and algorithmic biases. The analysis revealed a diverse spectrum of viewpoints among participants, ranging from enthusiastic endorsement of ai ’s potential benefits, such as personalized learning and resource innovation, to apprehensions surrounding issues like data privacy and algorithmic biases. Through rigorous analysis, this study aimed to identify prevalent themes in students’ perceptions of ai applications in education. The findings promise to enrich our understanding of how scientific college students envision ai ’s role in higher education, guiding stakeholders in effectively integrating ai technologies to enhance teaching and learning environments.

Authors

Institutions

Publication Details

Journal
Journal of science of learning and innovations.
Published
2024-09-05
DOI
https://doi.org/10.1163/29497736-bja00001
Citations
1
Primary Topic
Organizational and Employee Performance
Type
article
Field-Weighted Citation Impact
0.35
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Perceptions of Scientific College Students about Using AI Applications in Education

Farouq Almeqdadi, Kawthar Al Shadifat
1 citations
Journal of science of learning and innovations.
Organizational and Employee Performance
0.35
article

Perceptions of Scientific College Students about Using AI Applications in Education

Farouq Almeqdadi, Kawthar Al Shadifat
article en
1 citations

Abstract

Abstract As artificial intelligence ( ai ) continues to permeate various sectors, its potential impact on education has garnered significant attention. This study delved into the perceptions of scientific college students regarding the integration of ai applications in education The sample of the current study was 204 university students from Scientific Colleges of Al al-Bayt University (aabu) in Jordan The study took place in that university during the 1st semester of the academic year 2023/ 2024. Employing both qualitative and quantitative approaches, the study utilized a survey comprising seven items and four interview questions. The research anticipated a spectrum of perceptions among scientific college students regarding ai applications in education. While some expressed enthusiasm for benefits such as personalized learning and innovative resources, others harbored concerns about issues like data privacy and algorithmic biases. The analysis revealed a diverse spectrum of viewpoints among participants, ranging from enthusiastic endorsement of ai ’s potential benefits, such as personalized learning and resource innovation, to apprehensions surrounding issues like data privacy and algorithmic biases. Through rigorous analysis, this study aimed to identify prevalent themes in students’ perceptions of ai applications in education. The findings promise to enrich our understanding of how scientific college students envision ai ’s role in higher education, guiding stakeholders in effectively integrating ai technologies to enhance teaching and learning environments.

Journal of science of learning and innovations.Vol. 1(1)
Al al-Bayt University (JO)
Industry, innovation and infrastructure
Openalex Percentile: Top 34%
Organizational and Employee Performance
0.35
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.