Date
Publisher
arXiv
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.
Study at a glance
- Question: How do university students accept, trust, and view AI-generated images for educational tasks?
- Setting and data: University lab setting in Thailand, 15 undergraduate software engineering and information technology students aged 18–25.
- Method: Mixed methods usability testing with prompt-based tasks, questionnaires, and structured interviews.
Why it matters
The specific educational applications of AI-generated images remain underexplored from the student perspective. Direct insights into student interactions are needed to understand practical benefits, challenges, and instructional effectiveness.
Key findings
- Undergraduate students reported high self-efficacy, positive attitudes, and moderate to high trust toward using AI-generated images for educational tasks like presentations and reports.
- Participants expressed substantial concerns regarding realism, especially artificial-looking human figures, and technical inaccuracies such as illegible or misspelled text.
- Students noted that current AI image tools struggle with technical precision and specificity, limiting their usefulness for detail-oriented tasks like technical diagrams.
Summary drafted with AI from the full paper and may contain errors. See the full paper for details.
What is the application?
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Study design
