DRAFT - Use Case Catalogue Template - Teaching

Course Contexts

Tell us a little about how this course is situated at your institution and in AI pedagogy conversations.  Include the following information.    

• Name and catalogue number of the course
• What field(s) or discipline(s) are represented in this course?  
• What level?  (undergraduate, graduate, etc)
• Are you offering here an assignment, an assessment, a lesson plan, or something else?
• What type of use cases are you engaging students with?  GenAI end use cases; Customizing existing GenAI models for research cases; Building AI from scratch with code; robotics, etc. 
• No code, low code, code?

Learning Goals

Tell other instructors about the learning goals or objectives behind this material.  

• How are your materials tied to course or curriculum level goals?  
• What types of knowledge or skills will students have by the end of the lesson (or course).  
  • (The whys behind how those goals are important are welcome here as well).
• This is a great place to share if you included ways to support constructive failure, experimentation, differentiated learning or accessibility in the materials.

Instructional Materials

This area is for your instructional materials contribution.  (Space for links out to resources and references are below).  Contributions for this area could include:

• Lesson plans
• Unit plans
• Assignments
• Assessments

AI and Pedagogy

This place is for sharing lessons learned about putting these plans into action with students.  It could include pedagogical principles guiding your classroom implementation, troubleshooting tips, and/or reflections on what the students taught you.   

Readings and References

Using the style guide for your discipline (ex: APA, Chicago, MLA, etc.) list any major texts, videos, podcasts, readings, etc. that you recommend for students or instructors looking to engage with your teaching materials.