The Exploration of Contemporary Theories in Applying AI: Impact for Cross-Sectoral Education and Industry (A Meta Analysis)

21 April 2025, Version 1
This content is an early or alternative research output and has not been peer-reviewed by Cambridge University Press at the time of posting.

Abstract

This meta-analysis examines the impact of artificial intelligence across education and industry, focusing on ethical implications and future directions. A systematic review of relevant literature quantitatively and qualitatively assesses AI's influence on student performance and broader educational practices. Findings reveal AI's transformative potential, yet highlight significant ethical considerations, including algorithmic bias and data privacy. The analysis underscores the need for robust ethical frameworks and interdisciplinary collaboration to ensure responsible AI development and implementation. Future research should prioritise inclusive AI tools and investigate long-term societal impacts. This necessitates equipping educators with the skills to navigate AI-enhanced environments and fostering open dialogue about the social and emotional implications of AI in education, preparing learners for the evolving technological landscape.

Keywords

Algorithmic bias
artificial intelligence
education and ethics
meta-analysis

Comments

Comments are not moderated before they are posted, but they can be removed by the site moderators if they are found to be in contravention of our Commenting and Discussion Policy [opens in a new tab] - please read this policy before you post. Comments should be used for scholarly discussion of the content in question. You can find more information about how to use the commenting feature here [opens in a new tab] .
This site is protected by reCAPTCHA and the Google Privacy Policy [opens in a new tab] and Terms of Service [opens in a new tab] apply.