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Takeaways from CETLI Faculty Discussions of Teaching

CETLI offers regular faculty discussions on a wide variety of teaching topics. Many have faculty facilitators. To learn about some of the ideas and teaching strategies discussed in select past sessions, see the takeaways included below.

Information about upcoming sessions is available on the events page.

If you would like to discuss how these topics may apply to your specific teaching goals, set up a one-on-one consultation with a member of the CETLI staff. 

Fall 2024 Faculty Discussions

Faculty discussed assignments, strategies, and common approaches to AI use, as well as their concerns moving forward, and the value of having students write to deepen their thinking. 

  • Communicating with students is important. Students will be relieved if you have an AI Policy. Without a policy, students get anxious about whether or not other students are using AI.  
  • Common teaching solutions:
    • Focus on the process of writing essays.
    • Require students meet with the professor to discuss ideas before writing.
    • Have students write short reflections in blue books in each class so they practice writing.
    • As a class, write an AI use policy as students seem more likely to follow their own rules.
  • As you consider your assignments and your AI policy, ask yourself:
    • Is AI a tool or a shortcut?
    • How do we help students frame the value of AI in their learning?
    • How do we get students to value the thinking over the grade?
    • Time management – how can we do the work we need to do? 
    • How do we motivate and frame the work we give to students to move beyond the transactional model for course work?  

Research shows us that when students feel like they are in a room with people who care about them, they learn more.  Participants discussed practices and values for community building:  

  • Purpose and context matter – think purposefully about how to create community and why you create community in a specific learning context. It is not enough to do a community building event on the first day; make community building a regular part of class. Consider: 
    • Having students talk in pairs before they answer difficult questions.
    • Getting students to work in small groups to solve problems.
    • Letting students be part of setting class policy.
  • Every semester is different. This is going to be a semester where students have a lot of different ideas, and we need to learn how to work across differences. Be ready for some things to work and some not to.
  • CETLI offers support for evaluations, which can help measure and change community building activities.

Faculty discussed how to identify promising students for research partnerships, setting norms and expectations, assigning manageable tasks, and structuring the experience to be mutually beneficial for faculty and graduate mentors as well.

  • Partnering with undergraduates in research can be a win/win for scholarly productivity if the project is carefully planned and integrated into existing work.
  • GPA/grades are not a reliable indicator of a student’s research potential. Be open-minded in seeking and inviting students from all backgrounds.
  • Failure and frustration are a fundamental part of the research process, and teaching students to embrace this reality is essential for students to commit and persist. Design manageable projects that are suited to each students’ strengths, so they can experience small wins.

Previous Faculty Discussions

  • There are types of thinking that our students have to do and be able to do in order to turn generative AI into an effective tool. 
  • We can train students to use prompts to get what they want. Not as an end point, but as a learning process. AI can be used as a thought partner.  
  • We have ongoing questions for our teaching:  
    • Now that AI does some of these tasks, how do we articulate to students what they have to do?  
    • How do we help students understand the value of their thinking and analyze what comes out of generative AI?  
    • What is thinking and knowing now that we have a machine that does a lot of the tasks we associate with thinking and knowing?   

While we ultimately have to find the solutions that work best for our courses and our students, there are important questions we can all be thinking through:  

  • In what ways are we neutral, in what ways are we not?  
  • How do we ally with and support students whose voices have been marginalized? 
  • How do we acknowledge our power in the classroom?  
  • How do we frame the stakes of these conversations for our students? 
  • What is a controversial topic for our course? How do we manage emotions that come up?  
  •  
  • Find ways to make students do the work every day. Keeping them on track sometimes means providing deadlines to keep them on track.
  •  Help students feel comfortable to come talk to the professor  – both when things go badly and when things go well.
  • Transparency is important: here’s what I want you to do, what I want you to learn and why, and where you will apply it (if not on the exam, then elsewhere).