Pillar 7: Faculty and Staff Development Maturity Assessment

This maturity assessment tool is designed to help educational institutions evaluate their current state of AI governance in terms of faculty and staff development for AI integration. The assessment covers the key components of Pillar 7 of the SAGE-AI Framework.

Who Should Participate?

This assessment should be completed by a cross-functional team including:

  • Senior academic leadership (e.g., Provost, Deans)
  • Human Resources leadership
  • Faculty development coordinators
  • IT training specialists
  • AI/IT leadership
  • Faculty representatives from various disciplines
  • Staff representatives from key administrative departments
  • Teaching and Learning Center directors

How to Use This Assessment

Read each question carefully and select the answer that best describes your institution's current state. Be honest in your responses to get an accurate picture of your institution's maturity level. After completing the assessment, use the scoring guide to calculate your overall maturity level for Pillar 7. If you are completing multiple pillar assessments, transfer your score into the master score sheet.

Assessment Questions

  1. Have you established AI Competency Standards for Educators and Staff? (No, Partially Implemented, Fully Implemented)
  2. Is there an AI Professional Development Policy in place? (No, Partially Implemented, Fully Implemented)
  3. Have you developed AI Integration in Teaching Practices Guidelines? (No, Partially Implemented, Fully Implemented)
  4. Is there an AI Academic Integrity Oversight Committee to guide faculty? (No, Partially Implemented, Fully Implemented)
  5. Have you implemented AI Ethics Training Requirements for faculty and staff? (No, Partially Implemented, Fully Implemented)
  6. Is there an AI Proficiency Assessment Framework for faculty and staff? (No, Partially Implemented, Fully Implemented)
  7. Have you established an AI Innovation Incentive Program for faculty and staff? (No, Partially Implemented, Fully Implemented)
  8. Is there an AI Support and Resource Allocation Policy for faculty and staff development? (No, Partially Implemented, Fully Implemented)

Scoring

For each question:

  • No = 0 points
  • Partially Implemented = 1 point
  • Fully Implemented = 2 points

Interpretation of Results

Based on your total score, your institution's maturity level can be categorized as follows:

  • Nascent Stage (0-4 points): Your institution is in the very early stages of developing faculty and staff for AI integration. There may be some isolated training efforts, but a comprehensive approach to AI-related professional development is largely absent. Focus on establishing basic AI competency standards and developing initial AI training programs for faculty and staff.
  • Emerging Stage (5-9 points): Your institution has begun to address faculty and staff development for AI integration, but the approach is still developing. Some key components like AI professional development policies or ethics training may be in place but not fully developed or consistently applied across the institution. Work on formalizing processes, expanding training offerings, and developing more comprehensive strategies for faculty and staff AI competency development.
  • Established Stage (10-13 points): Your institution has a clear and consistent approach to faculty and staff development for AI integration. Most key components are in place and functioning effectively. Focus on refining these processes, ensuring they're fully integrated across all departments, and adapting them to address emerging challenges and opportunities in AI education and administration.
  • Transformative Stage (14-16 points): Your institution is at the forefront of faculty and staff development for AI integration. AI competency development is fully embedded in professional growth pathways, and faculty and staff are actively engaged in AI innovation. Continue to refine and evolve your approach, potentially serving as a model for other institutions. Focus on pushing the boundaries of AI integration in education and preparing your workforce to lead in an AI-driven educational landscape.

Next Steps

Based on your assessment results:

  • Identify the areas where your institution scored lowest and prioritize these for improvement.
  • Develop action plans to address gaps in your faculty and staff AI development initiatives.
  • Set goals to progress to the next maturity stage, focusing on the key components that will help you advance.
  • Regularly reassess your maturity level to track progress and identify new areas for improvement.
  • Share best practices and lessons learned within your institution to foster a culture of continuous AI learning and innovation among faculty and staff.
  • Consider assessing other pillars of the SAGE-AI Framework to get a comprehensive view of your institution's AI governance maturity.
  • For institutions at the Transformative stage, explore opportunities to contribute to the broader education community's understanding of effective faculty and staff development for AI integration.
Maturity Assessments