Artificial Inteligence I Based Learning,Academic Self Concept and Cognitive Engegment
Abstract
Artificial Intelligence (AI) has increasingly been integrated into educational settings; however, itspsychological impact on learners remains underexamined, particularly in Indian secondary schools.This study investigated the effects of AI-based learning tools on academic self-concept and cognitiveengagement among secondary school students in Patna, Bihar. A quantitative, comparative, crosssectional design was adopted with a sample of 400 students, equally divided into an AI-IntegratedLearning Group (n = 200) and a Traditional Learning Group (n = 200). Data were collected using theSelf-Description Questionnaire–II and a Cognitive Engagement Scale and analyzed using independentsamples t tests. The results revealed no significant differences between AI users and non-users inacademic self-concept or cognitive engagement.The findings indicate that AI use alone does notnecessarily produce psychological or cognitive benefits without pedagogically guided integration.
Fields of Study & Subjects
AI in Service Interactions
Online Learning and Analytics
Teaching and Learning Programming
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 5 January 2026
- Language
- EN