"To Study the Impact of AI-Integrated Learning Tools on Academic Engagement Among Gen-Z "

Abstract

Purpose

The study examines the impact of AI-integrated learning tools on academic engagement among Gen Z students in Mumbai. It examines how AI-based educational technologies influence usage patterns, learning outcomes, and engagement levels.

Design/methodology/approach

A descriptive and analytical research design was adopted. Primary data were collected from 400 Gen-Z respondents using a structured questionnaire. Statistical tools such as correlation and regression were used to analyse the relationship between AI tool usage, learning outcomes, and academic engagement.

Findings
Results show a significant positive relationship between AI tool usage and academic performance. Usage patterns strongly predict academic engagement (R² = 0.997), and students using AI tools demonstrate higher motivation, improved understanding, and better performance.

Practical Implications

The study highlights the growing importance of AI-integrated learning tools in enhancing academic engagement among Gen-Z students. Educational institutions can use these insights to design AI-supported curricula, improve personalised learning pathways, and create more interactive academic environments. Faculty can integrate AI-driven platforms to support assessments, feedback, and doubt clarification. The findings also guide policymakers in strengthening digital literacy initiatives and framing ethical AI usage guidelines to promote responsible adoption in higher education.

Originality
This research contributes original empirical evidence on how AI-integrated learning tools influence academic engagement among Gen-Z learners in the Indian context. Unlike existing studies focused on AI literacy or ethical concerns, this study directly measures the correlation and predictive power of AI usage patterns on academic involvement, offering a novel perspective on technology-driven education.