A Comprehensive AI Policy Education Framework for University Teaching and Learning
Project Overview
The document outlines the creation of an AI education policy framework tailored for higher education, emphasizing the influence of generative AI technologies such as ChatGPT. It raises important concerns regarding academic integrity, the effects on students' writing and critical thinking abilities, and the urgent need for a structured approach to incorporate AI into educational practices. To address these issues, the proposed AI Ecological Education Policy Framework is structured around three key dimensions: Pedagogical, Governance, and Operational. This framework aims to provide a comprehensive strategy for integrating AI in teaching and learning environments, ensuring that educational institutions can effectively harness the benefits of generative AI while mitigating potential risks. The findings suggest that a thoughtful and systematic implementation of AI can enhance educational outcomes, promote engagement, and support diverse learning needs, ultimately shaping the future of education in an increasingly digital landscape.
Key Applications
Generative AI tools like ChatGPT
Context: Higher education, targeting university students and faculty
Implementation: Data collected from surveys of students and teachers regarding their usage and perceptions of generative AI technologies.
Outcomes: Positive perceptions of AI's potential to enhance learning, alongside concerns about academic misconduct and over-reliance on AI tools.
Challenges: Concerns about cheating, decline in critical thinking skills, and the need for effective guidelines and regulations.
Implementation Barriers
Ethical
Concerns about academic misconduct, including cheating and plagiarism using AI tools.
Proposed Solutions: Develop clear guidelines on the acceptable use of AI, create assessments that minimize opportunities for misuse, educate students on academic integrity, and promote a culture of honesty.
Technological
Inadequate technological infrastructure and access to AI tools, leading to equity issues in education.
Proposed Solutions: Provide equal access to AI technologies for all students, ensure that training and resources are available to support their use, and address disparities in technology access.
Governance
Lack of transparency and accountability in the use of AI technologies in educational contexts.
Proposed Solutions: Implement governance structures that ensure ethical use, address data privacy and security considerations, and establish accountability measures for AI deployment.
Pedagogical
Need to rethink assessment methods to account for the integration of AI in education.
Proposed Solutions: Develop new assessment strategies that focus on understanding and critical thinking rather than memorization or regurgitation of information, and integrate AI tools into the learning process.
Project Team
Cecilia Ka Yuk Chan
Researcher
Contact Information
For more information about this project or to discuss potential collaboration opportunities, please contact:
Cecilia Ka Yuk Chan
Source Publication: View Original PaperLink opens in a new window