Artificial Intelligence and the Future of Educational Content: A Cautionary Tale

Arjita Jain, University of Mumbai
Swarupa Asish Dash, Symbiosis International Deemed University

https://doi.org/10.9743/JEO.2025.22.4.7

Abstract

This study investigates the implications of AI-generated educational content, focusing on its authenticity, reliability, and ethical considerations within the context of Education 4.0. Employing a sequential explanatory mixed-methods approach, we combine qualitative insights from semi structured interviews with 20 educators and AI developers and quantitative data from an online survey of 210 educators across various educational levels. Our findings reveal widespread adoption of AI tools, particularly in higher education (68% usage), alongside significant concerns regarding the reliability of AI-generated content and the potential for misinformation and bias (70% of respondents expressing concern). The study highlights the necessity of human oversight and robust training programs to enhance confidence in AI technologies, with a positive correlation found between AI training and perceived reliability (β = 0.28, p< .001). Ethical considerations, including data privacy and the impact of AI on teaching roles, are also addressed. This research contributes to the ongoing discourse on the responsible use of AI in education and provides a foundation for future research and practice aimed at ensuring the integrity and quality of educational content. The study emphasizes the need for a balanced approach that leverages the potential of AI while addressing critical concerns and ultimately inform policy and practice in the evolving landscape of AI-enhanced education.

Keywords: artificial intelligence, Education 4.0, AI-generated content,educational ethics,human oversight