This paper is published in Volume-12, Issue-4, 2026
Area
Mental Health Nursing
Author
Sajna Sajeer, Prof. Amal James, Asha Raichal Sam, Jeena Varghese, Mahima Murali, Irfana Hussain, Devika, Alan Lalal
Org/Univ
​​N.S. Memorial College of Nursing, Kollam, India
Pub. Date
25 August, 2026
Paper ID
V12I4-1191
Publisher
Keywords
Artificial Intelligence Tools, Academic Performance, Psychological Well-being, Undergraduate Students, Nursing Management

Citationsacebook

IEEE
Sajna Sajeer, Prof. Amal James, Asha Raichal Sam, Jeena Varghese, Mahima Murali, Irfana Hussain, Devika, Alan Lalal. Impact of Artificial Intelligence Tools on Academic Performance and Psychological Well-Being Among Undergraduate Students in Selected Colleges in Kollam District, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Sajna Sajeer, Prof. Amal James, Asha Raichal Sam, Jeena Varghese, Mahima Murali, Irfana Hussain, Devika, Alan Lalal (2026). Impact of Artificial Intelligence Tools on Academic Performance and Psychological Well-Being Among Undergraduate Students in Selected Colleges in Kollam District. International Journal of Advance Research, Ideas and Innovations in Technology, 12(4) www.IJARIIT.com.

MLA
Sajna Sajeer, Prof. Amal James, Asha Raichal Sam, Jeena Varghese, Mahima Murali, Irfana Hussain, Devika, Alan Lalal. "Impact of Artificial Intelligence Tools on Academic Performance and Psychological Well-Being Among Undergraduate Students in Selected Colleges in Kollam District." International Journal of Advance Research, Ideas and Innovations in Technology 12.4 (2026). www.IJARIIT.com.

Abstract

Background & Objectives: The present study was undertaken to assess the impact of Artificial Intelligence (AI) tools on academic performance and psychological well-being among undergraduate students in selected colleges of Kollam district. Methodology: A quantitative research approach with a descriptive research design was used. A sample of 100 undergraduate students was selected from Younus College of Engineering using a non-probability convenience sampling technique. Data were collected through structured questionnaires for measuring AI tool usage, academic performance, and psychological well-being. For the analysis descriptive and inferential statistics were used. Results: The findings revealed that majority of students that is 58% had a high level of AI tool usage, 26% had moderate usage, 13% had very high usage, and 3% had low usage. Regarding the academic performance, 63% achieved excellent level and 37% an average level. Psychological well-being was moderate in 56%, mild in 31%, good in 12%, and poor in 1%. Statistical analysis shows that there is a significant weak positive correlation between AI tool usage and academic performance (r = 0.240, p = 0.016) and a significant weak negative correlation between AI tool usage and psychological well-being (r = -0.270, p = 0.007). Conclusion: The study highlights that the usage of AI tools enhance academic performance of students and higher usage of AI tools is reduces the psychological well-being of the student which emphasizing the need for balanced digital habits.