3.1. Case Study Information

1. Case Study Title* (required)

• • Placeholder: “e.g., Implementing AI in Undergraduate Biology Courses”

2. Author’s Name* (required)

• • Placeholder: “e.g., Jane Doe”

1. Introduction and Context of AI Use

3. Course Level* (required)

• • Placeholder: “e.g., Undergraduate, Graduate, Professional Development”

4. Educational Context* (required)

• • Prompt: “Describe the specific educational context (course, discipline, learner demographics).”

5. Problem, Opportunity, or Goal* (required)

• • Prompt: “Define the key problem, opportunity, or goal addressed through AI integration.”

2. Description of AI Technology

6. AI Tools or Platforms* (required)

• • Prompt: “Identify the specific AI tools or platforms used (e.g., specific software, applications, models).”

7. AI Functionality (optional)

• • Prompt: “Explain briefly how the technology functions (e.g., machine learning model, generative AI).”

8. Technology Justification (optional)

• • Prompt: “Justify the choice of AI technology in relation to the stated educational objectives.”

3. Implementation Process

9. Preparation Phase (optional)

• •  Prompt: “Describe the preparation phase (training faculty, curating datasets, ethical clearance, etc.)”

10. Execution Phase (optional)

• • Prompt: “Detail the actual deployment in classes, workshops, or support systems.”

11. Post-deployment Support (optional)

• • Prompt: “Explain ongoing technical or pedagogical assistance, monitoring, etc.”

4. Ethical and Inclusive Considerations

12. Ethical AI Practices (optional)

• • Prompt: “Describe specific actions taken to ensure ethical AI practices (e.g., addressing biases, transparency).”

13. Inclusivity and Accessibility (optional)

• • Prompt: “Detail how inclusivity and accessibility were ensured through AI design or adaptation.”

14. EDI Principles (optional)

• • Prompt: “Explain how Equity, Diversity, and Inclusion principles informed decisions about AI use.”

5. Outcomes and Educational Impact

15. AI Impact (optional)

• • Prompt: “Clearly articulate how AI directly impacted teaching practices, learning experiences, or educational outcomes.”

16. Evidence of Impact (optional)

• • Prompt: “Provide evidence such as student or faculty feedback, qualitative observations, or quantitative measures.”

17. Critical Reflection (optional)

• • Prompt: “Reflect critically on the role of AI in enhancing or transforming educational experiences.”

6. Challenges and Limitations of AI Implementation

18. Challenges and Barriers (optional)

• • Prompt: “Document any significant technical, pedagogical, or institutional barriers encountered.”

19. Mitigation Strategies (optional)

• • Prompt: “Describe strategies employed to overcome or mitigate these challenges.”

20. Reflective Insights (optional)

• • Prompt: “Provide reflective insights or recommendations for future AI integrations.”

7. Sustainability and Future AI Use

21. Future Plans (optional)

• • Prompt: “Outline plans or possibilities for continuing, scaling, or adapting AI use in similar contexts.”

22. Future Research (optional)

• • Prompt: “Highlight potential areas for future research or development arising from the current implementation.”

23. Recommendations (optional)

• • Prompt: “Suggest recommendations for institutional support or policy considerations for ongoing AI adoption.”

Acknowledgements

24. Acknowledgements (optional)

• • Prompt: “Add any acknowledgements you wish to include at the end of the case study.”