OPEN ACCESS
PEER-REVIEWED
Comparative Study
| Published: March 31, 2026
A Comparative Study Artificial Intelligence and Human Intelligence among Male and Female Adolescents
Department of Psychology, Ranchi University, Ranchi
Google Scholar
More about the auther
DIP: 18.01.296.20261401
DOI: 10.25215/1401.296
ABSTRACT
Artificial intelligence (AI) has emerged as one of the most transformative technologies of the modern era, influencing education, cognition, and social behavior. Human intelligence, traditionally defined as the capacity for reasoning, learning, problem-solving, and adaptation, is increasingly being compared with artificial forms of intelligence. The present study examines the relationship between artificial intelligence exposure and human intelligence among adolescents, with particular attention to gender differences. The sample consisted of 80 adolescents (40 males and 40 females) aged 13–18 years. A quantitative, descriptive, and comparative research design was employed using a standardized intelligence test and an artificial intelligence exposure questionnaire. Data were analyzed using mean, standard deviation, t-test, and Pearson’s correlation coefficient. Results indicated a moderate positive relationship between AI exposure and selected cognitive abilities. No significant gender differences were found in overall human intelligence or AI exposure. The findings suggest that artificial intelligence can complement human intelligence when used appropriately and emphasize the importance of guided AI integration in adolescent development.
Keywords
Artificial Intelligence, Human Intelligence, Adolescents, Gender Differences, Cognitive Development
This is an Open Access Research distributed under the terms of the Creative Commons Attribution License (www.creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any Medium, provided the original work is properly cited.
© 2026, Rozy, S.
Received: February 07, 2026; Revision Received: March 27, 2026; Accepted: March 31, 2026
Article Overview
ISSN 2348-5396
ISSN 2349-3429
18.01.296.20261401
10.25215/1401.296
Download: 0
View: 11
Published in Volume 14, Issue 1, January-March, 2026
