Leveraging Usage of AI in education: Knowledge, Attitude and Behavioral Analysis on Students

The paper explores the possible advantages and drawbacks of artificial intelligence (AI) on sustainability, with an emphasis on using AI to positively achieve SDGs. The study finds a significant vacuum in the literature on the association between knowledge, attitudes, and behaviors towards the use of AI tools and techniques in education and demographic characteristics (sex, age, education level, area of study, and city of origin). The purpose of this research is to close this knowledge gap and advance our understanding of how these demographic factors affect the integration of AI in educational environments. The study specifically aims to comprehend how students' awareness, beliefs, and actions towards AI in educational situations are influenced by demographic characteristics. This research attempts to offer insights into practical methods for utilizing AI in education while addressing potential obstacles and minimizing negative effects through a thorough analysis of data gathered from students across a range of demographic backgrounds.

Authors

Publication Details

Journal
Northeast Journal of Complex Systems
Published
2025-06-06
DOI
https://doi.org/10.63562/2577-8439.1092
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

Leveraging Usage of AI in education: Knowledge, Attitude and Behavioral Analysis on Students

Bipllab Roy, Purnendu Bikash Acharjee, Panchal Shruti, Rohit Sharma et al.
Northeast Journal of Complex Systems
Online Learning and Analytics
article

Leveraging Usage of AI in education: Knowledge, Attitude and Behavioral Analysis on Students

Bipllab Roy, Purnendu Bikash Acharjee, Panchal Shruti, Rohit Sharma, Ruptaheen Kramsapi
article en

Abstract

The paper explores the possible advantages and drawbacks of artificial intelligence (AI) on sustainability, with an emphasis on using AI to positively achieve SDGs. The study finds a significant vacuum in the literature on the association between knowledge, attitudes, and behaviors towards the use of AI tools and techniques in education and demographic characteristics (sex, age, education level, area of study, and city of origin). The purpose of this research is to close this knowledge gap and advance our understanding of how these demographic factors affect the integration of AI in educational environments. The study specifically aims to comprehend how students' awareness, beliefs, and actions towards AI in educational situations are influenced by demographic characteristics. This research attempts to offer insights into practical methods for utilizing AI in education while addressing potential obstacles and minimizing negative effects through a thorough analysis of data gathered from students across a range of demographic backgrounds.

Northeast Journal of Complex SystemsVol. 7(1)
Quality Education
Openalex Percentile: Top 88%
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.

Leveraging Usage of AI in education: Knowledge, Attitude and Behavioral Analysis on Students — Bipllab Roy, Purnendu Bikash Acharjee, et al. · Northeast Journal of Complex Systems (2025) | TGRS Research Map | TGRS