Clarity: An Important Pedagogical Tool

Do you ever catch yourself thinking, “I don’t have time to explain, they’ll just figure it out”? As we dive into the “now it’s getting real” part of the semester, Regan A.R. Gurung offers a concise reflection on why clearly explained expectations and assignments (with or without the editing assistance of AI) are a crucial foundation to student learning and to faculty success in the classroom.

Continue Reading

Breaking Things Down

I would venture to guess that many of us find ourselves uttering the word “breakdown”—in a variety of negative senses—regularly these days.

But when we’re talking about teaching, breaking things down is a fundamental and positive practice. Breaking down learning goals, reading analyses, word problems, research processes—all of these forms of academic work require working through a set of steps that we have learned over time but that may not be obvious to our students. 

Continue Reading

I’m an AI Power User. It Has No Place in the Classroom.

As we travel the current phase of this new AI journey with our students, we are facing an old and ongoing problem: How do we preserve our classrooms and liberal arts education as spaces for deep thinking at the same time that we are helping our students to prepare for their post-college professional lives?

Working toward an answer (or answers) requires considering a wide variety of perspectives and possibilities. 

Continue Reading

Word of the Day: Expectations

A week later, my head is still abuzz (does anyone use that word anymore?) with all the ideas, questions, challenges, and connections that emerged from the CfLT gatherings and RAISE (Readiness and Inclusion in Science Education) workshop led by guest speaker Leonard Geddes. I’m going to use my next few columns to highlight some ideas that stood out across these discussions, in the interest of promoting further reflection and conversation and, I hope, providing food for your teaching thought as the semester begins.

Continue Reading

If You Care About It, Do It in Class

Ensuring that our students feel competent in the skills required to succeed in our classes is more important than ever if we want them to understand the value of their own learning and make intentional decisions about AI usage.  James Lang offers some clear and concise advice as you finish crafting your spring syllabi:
  • “Whatever you care most about students learning in your course, do it in class.”

Continue Reading

Align AI Policies with Learning Goals

As we approach the new semester, it’s important to reflect on how your course documents (syllabus, assignment sheets, etc.) communicate clearly to students the rules around AI use in your classes as well as the relationship between those rules and the course learning goals. Here’s my advice: 

AI Policy: Articulate a clear AI policy in your syllabus, and if it makes sense to do so, articulate an AI policy in each assignment sheet. 

Continue Reading

End-of-Semester Tech Wrap Up

As the semester comes to a close, here are 5 things you can do now to tie up loose ends and prepare yourself for a smooth start next semester:
  1. Save a backup of your current gradebook now in case of last minute technology issues, and again after grades are submitted. You can do this by either exporting your gradebook(s) from Canvas or making a backup of the document you use to keep track of student grades.

Continue Reading

We are Not in an AI Apocalypse

This is my final dispatch for the semester, and I’m pleased to offer this concluding observation: We are not (yet) in an AI apocalypse! 

Here’s what I mean by that:

  • The more I use AI, the better I understand the amount of work it takes to transform AI-generated content into a high quality, college-level essay. I am, therefore, less worried about students offloading cognitive labor if and when they integrate AI into their writing process. 

Continue Reading