Understanding Student Acceptance, Trust, and Attitudes Toward AI-Generated Images for Educational Purposes
Project Overview
The document explores the integration of generative AI in education, particularly emphasizing the use of AI-generated images and their reception among students in computer science and software engineering programs. It reveals that students generally hold positive attitudes towards generative AI, recognizing its potential to enhance educational tasks, including presentations and reports. However, it also addresses challenges such as the need for technical precision and realism in the generated content. The findings suggest that while generative AI can significantly benefit educational practices, there is a pressing need for the development of guidelines and improvements in AI capabilities to ensure effective and meaningful educational outcomes. Overall, the document advocates for a balanced approach to harnessing generative AI, emphasizing both its advantages and the necessary steps to mitigate its limitations in an academic setting.
Key Applications
AI-generated images for educational purposes
Context: Undergraduate students in computer science and software engineering
Implementation: Conducted usability testing with questionnaires and interviews to assess acceptance, trust, and attitudes towards AI-generated images in educational tasks.
Outcomes: High acceptance and trust among students, perceived ease of use, and potential academic benefits.
Challenges: Concerns regarding lack of technical precision and realism of AI-generated images, particularly in detail-oriented tasks.
Implementation Barriers
Technical limitations
AI-generated images often lack realism and accuracy, particularly in representing human figures and text within images. Improvements in AI's understanding and execution capabilities are needed to enhance the realism and accuracy of generated images.
Proposed Solutions: Enhance AI's capabilities to improve the quality of generated content.
Ethical considerations
Concerns about copyright issues and the authenticity of AI-generated content.
Proposed Solutions: Develop comprehensive guidelines addressing ethical considerations and intellectual property issues.
Economic factors
Cost concerns that could limit access to AI tools for students.
Proposed Solutions: Explore pricing strategies to make AI tools more accessible.
Project Team
Aung Pyae
Researcher
Contact Information
For information about the paper, please contact the authors.
Authors: Aung Pyae
Source Publication: View Original PaperLink opens in a new window
Project Contact: Dr. Jianhua Yang
LLM Model Version: gpt-4o-mini-2024-07-18
Analysis Provider: Openai