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Ai : Training Programs for Faculty and Staff

An overview of Ai

 

 

📦 Deliverable #3: Identifying a Cataloging System of Training Programs for Faculty and Staff

 

Identify professional development opportunities that equip educators and staff with the skills to integrate AI into instruction, advising, and support services effectively.

 

 

🎓 Free Online AI Training for Educators

Explore tools, courses, and curated resources to help you integrate AI into your teaching practice and professional development.

🔗 ACC Ai Resources
Explore AI tools, guides, and best practices curated for Austin Community College faculty and students. These resources support:

  • Ethical and effective AI use in the classroom

  • Assignment design with AI in mind

  • Faculty development and student success initiatives

🧑‍🏫 Generative AI for Educators (Google & MIT RAISE)

This free course helps educators use AI tools to:

  • Save time on daily tasks
  • Personalize instruction
  • Enhance lessons and student engagement

🔗 Access the Course

💬 Prompt Libraries for Educators

🔗GenAI Chatbot Prompt Library for Educators – Prompts for lesson planning, feedback, and administrative tasks.

🔗A Teacher’s Prompt Guide to ChatGPT (PDF) – Tips, examples, and use cases to support teacher productivity.

🔗AI Prompt Library- Provides customizable prompts for various educational purposes, allowing teachers to tailor them to their specific needs.

🔗Control Alt Achieve – AI Prompt Libraries for Educators- A curated list of AI prompt libraries and resources to assist educators in integrating AI into their teaching practices.

🎥 Video Tutorials: Practical AI for Instructors & Students

📚 Articles for Educators

🌐 Classroom & Curriculum Resources

 

 

📂 Resource Collection & Cataloging Recommendations

This section outlines strategies for gathering, curating, and maintaining AI-related training and resource materials across the college.

🔗 Sample Resources to Explore

 

Want help writing your syllabus AI policy? Try the AI Syllabus Statement GPT. You’ll need to log into ChatGPT Plus to use it.


 

 

 

📁 Cataloging Training: Recommendations & Considerations

1. Access and Permissions
Recommendation: Classify resources as Internal (faculty/staff-only) or External (public-facing).
Consideration: Ensure FERPA, ADA, and SB-17 compliance.
Policy Suggestion: Develop tiered access rules tied to secure login (SSO), updated annually in coordination with IT/HR.

2. Metadata and Searchability
Recommendation: Use a standard metadata framework (e.g., Dublin Core).
Consideration: Use user-friendly keywords, ADA tags, and note training type (e.g., async/sync).
Policy Suggestion: Require a consistent metadata template vetted by Library Services or Academic Technologies.

3. Catalog Structure & User Experience
Recommendation: Organize resources by topic, role, delivery method, etc. with filters via a centralized platform (e.g., LibGuides, Workday Learning).
Consideration: Include version history and update logs.
Policy Suggestion: Conduct quarterly reviews to archive outdated content using version control protocols.

4. Internal vs. External Hosting
Recommendation: Use internal platforms for staff training; public platforms for outreach and OERs.
Consideration: Create a crosswalk document that identifies platform use and ownership.
Policy Suggestion: Include IT and Communications in quarterly audits for consistency and branding.

5. Data Tracking and Continuous Improvement
Recommendation: Use analytics (e.g., usage stats, completion, feedback) to guide content development.
Consideration: Embed feedback tools (e.g., short surveys, like/dislike) with anonymized collection.
Policy Suggestion: Require biannual reporting on resource engagement to inform planning and investment.


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