Exploring GenAI Tools for Teaching Material Development, Replay

Workshop Follow Up Bot

As a prof of concept we developed GPT to follow up the workshop. Using the bot you can explore the topics covered in the workshop and the GenAI prompts that were shared. Note: This is a GPT and to access it you need to have an account and be logged into ChatGPT 4o. Creating Teaching Materials Follow Up Assistant

Workshop Highlights

In our recent workshop, “GenAI for Teaching Materials Development,” we explored the intersection of generative AI and education. As AI continues to reshape various aspects of our lives, its potential to revolutionize how we create and enhance teaching materials is becoming increasingly clear. Let’s recap the key insights from our session and provide you with resources to continue your journey in leveraging GenAI for education.

Our workshop dove into several areas where GenAI can significantly impact the development of teaching materials:

  1. Crafting Concept Explanations: We demonstrated how GenAI tools like ChatGPT and Claude can generate clear, multi-faceted explanations and analogies for complex concepts, adapting to different learning approaches and backgrounds.
  2. Question and Problem Set Development: Participants learned to use AI to create diverse, challenging, and tailored question sets, ensuring a balance between conceptual understanding and practical application.
  3. Case Studies and Scenarios: We explored techniques for generating engaging, thought-provoking case studies that encourage critical thinking and decision-making skills.
  4. Learning Resources: From summarizing YouTube videos to creating diagrams and explaining equations, we demonstrated GenAI’s versatility in producing various learning materials.
  5. Emerging Trends: We touched on cutting-edge developments like local GenAI models, specialized chatbots, and AI agents designed for educational contexts.

Key Takeaways

  1. AI as a Collaborator: GenAI tools are not replacements for educators but powerful collaborators that can enhance creativity and efficiency in material development.
  2. Customization is Key: The most effective use of GenAI involves tailoring prompts and outputs to specific learning objectives and student needs.
  3. Ethical Considerations: We emphasized the importance of adhering to institutional guidelines (like UBC’s Guidance for the responsible use of generative AI) and maintaining academic integrity.
  4. Continuous Learning: The field of GenAI is rapidly evolving, necessitating ongoing experimentation and professional development.

Resources for Continued Learning

To help you apply these insights in your teaching practice, we’ve compiled essential resources from the workshop:

Workshop Recording

These materials are available for you to revisit and share with colleagues as you continue to explore GenAI in education.