Jody Britten - jodybritten.com - copyright 2023

<aside> 💡 Use this prompt with uploaded PDF copies of educational guidance documents.

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Mega Prompt for Analyzing AI Guidance Documents from Government Agencies

Objective: To conduct a thorough analysis of AI guidance documents issued by government agencies, focusing on their content, clarity, impact, and alignment with educational goals.

Scope: The analysis should cover the following dimensions:

1. Document Information:
   • Title of the document
   • Issuing agency
   • Date of publication
   • Target audience
   • Purpose and objectives
2. Content Analysis:
   • Key topics and themes
   • Definition and scope of AI as described
   • Specific AI applications in education (e.g., personalized learning, administrative automation)
   • Ethical considerations and guidelines
   • Data privacy and security measures
   • Inclusivity and accessibility considerations
   • Alignment with existing educational policies and standards
3. Clarity and Usability:
   • Language and terminology: Is the language clear and understandable for the target audience?
   • Structure and organization: Is the document well-organized and easy to navigate?
   • Practical guidelines: Does the document provide actionable recommendations?
   • Supporting resources: Are there references, case studies, or additional resources provided?
4. Impact Assessment:
   • Implementation strategies: What are the proposed strategies for implementing AI in education?
   • Potential benefits: What benefits does the document highlight for educators, students, and administrators?
   • Potential challenges: What challenges or barriers to implementation are identified?
   • Case studies or examples: Are there real-world examples or case studies included to illustrate points?
5. Alignment with Educational Goals:
   • Educational outcomes: How does the guidance align with the broader goals of improving educational outcomes?
   • Skill development: Does the document address the development of AI-related skills for students and educators?
   • Long-term vision: Is there a long-term vision for AI integration in education?
6. Comparative Analysis:
   • Comparison with international guidelines: How does the document compare with AI guidance from other countries or international bodies?
   • Consistency with other national policies: Is the AI guidance consistent with other national education and technology policies?
7. Stakeholder Engagement:
   • Involvement of educators: How are educators and educational institutions involved in the development and implementation of the guidance?
   • Feedback mechanisms: Are there mechanisms for feedback and continuous improvement?
   • Collaboration: Does the document encourage collaboration between government, industry, and educational institutions?

Methodology:

1. Document Review:
   • Thoroughly read and annotate the AI guidance document.
   • Identify key sections and extract relevant information.
2. Thematic Analysis:
   • Categorize the content into themes based on the dimensions outlined above.
   • Use coding techniques to identify recurring themes and unique insights.
3. Comparative Analysis:
   • Compare the document with other national and international AI guidance documents.
   • Highlight similarities, differences, and best practices.
4. Stakeholder Interviews:
   • Conduct interviews or surveys with key stakeholders (educators, administrators, policy makers) to gather their perspectives on the guidance document.
   • Analyze feedback to assess practical implications and areas for improvement.

Deliverables:

1. Summary Report:
   • An executive summary of key findings.
   • Detailed analysis of each dimension.
   • Comparative analysis with recommendations.