Understanding Student Acceptance, Trust, and Attitudes Toward AI-Generated Images for Educational Purposes

TL;DR

This study explores undergraduate students' acceptance and trust in AI-generated images for educational purposes, highlighting positive attitudes but also concerns about technical accuracy and ethical issues.

Contribution

It provides empirical insights into student perceptions of AI-generated images in education and suggests guidelines to improve their practical and ethical integration.

Findings

High acceptance and trust among students

Concerns about technical precision and image quality

Need for guidelines on ethics and intellectual property

Abstract

Recent advancements in artificial intelligence (AI) have broadened the applicability of AI-generated images across various sectors, including the creative industry and design. However, their utilization in educational contexts, particularly among undergraduate students in computer science and software engineering, remains underexplored. This study adopts an exploratory approach, employing questionnaires and interviews, to assess students' acceptance, trust, and positive attitudes towards AI-generated images for educational tasks such as presentations, reports, and web design. The results reveal high acceptance, trust, and positive attitudes among students who value the ease of use and potential academic benefits. However, concerns regarding the lack of technical precision, where the AI fails to accurately produce images as specified by prompts, moderately impact their practical application in detail-oriented educational tasks. These findings suggest a need for developing comprehensive guidelines that address ethical considerations and intellectual property issues, while also setting quality standards for AI-generated images to enhance their educational use. Enhancing the capabilities of AI tools to meet precise user specifications could foster creativity and improve educational outcomes in technical disciplines.