Teaching: Breaking the Ice, Building the Conversation

At the Open Doors debrief, Dan Homan (Physics) shared a small but powerful practice he uses early in the semester to break the ice and cultivate an engaged classroom. In the first few weeks, he gives students a brief in-class writing prompt—just two minutes responding to the reading—and then asks for volunteers to read their responses aloud with dramatic flair.

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Teaching: This Just Happened

Lately, I’ve been saying that keeping up with AI feels a bit like being stuck on a treadmill that only speeds up. Just when I think I’m catching my breath, something new barrels in. In the past few weeks alone, I’ve heard about “vibecoding”—the emerging ability to speak complex code into existence like some kind of techno-conjuring spell—and OpenAI’s latest image tools, which have taken deepfakes from disconcerting to downright uncanny.

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Teaching: Real World Connections, Active Learning, and Collaborative Knowledge-Building

During Open Doors, Adam Walke (Economics) observed Julie Mujic (Global Commerce) lead an engaging and interactive session in GC 201: Elements of Commerce. At the beginning of class, Julie asked students to volunteer to briefly summarize articles they had recently read in the business news. This warm-up activity encourages: 
  • Transfer of Knowledge – Learning is more effective when students can connect abstract theories to concrete examples.

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Teaching: Unpacking Complexity

For many students, analyzing a complex scientific paper can feel like climbing a mountain—steep, daunting, and sometimes overwhelming. Heather Rhodes (Biology and Neuroscience) talked about how she guides her students up that mountain at our recent Teaching Matters debriefing the Open Doors program.

In her Neuro 312 course, which Karen Spierling (History) observed, Heather led students to analyze challenging primary research literature.

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Teaching: Validity Matters More than Cheating

In a CfLT-sponsored webinar on assessment and gen-AI on March 3, Leon Furze (longtime educator, education administrator, and now Ph.D. candidate working on a dissertation on AI in writing instruction) shared an academic article, Validity Matters More than Cheating,” which argues that academic integrity needs to focus on “assessment validity” rather than “cheating.” Cheating is a question of moral integrity, whereas validity is a process by which educators ensure that students have met learning outcomes.

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Teaching: Kids These Days Can’t Read

I’ve been in education long enough to recognize this as a familiar faculty lament. Over the years, I’ve heard numerous concerns:

  • Kids these days can’t compute a square root.
  • Kids these days can’t graph (or factor) a third-degree polynomial.
  • Kids these days can’t use an abacus.

You see the pattern. It seems that the longer we teach, the more likely we are to encounter this sentiment.

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Teaching: Responsive Teaching in Action

No one responded after Michael Tangeman posed a thought-provoking question to the whole class and allowed for appropriate wait time. Instead of moving on or answering the question himself, he skillfully pivoted, asking students to turn to a neighbor and discuss their thoughts first. This simple shift transformed the classroom dynamic—creating space for engagement, rather than silence.

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Teaching: Magic School AI

Despite Sydney Green’s proficiency with AI prompting, she often finds extracting specific tasks from advanced models like ChatGPT or Gemini to be time-consuming and sometimes unproductive. To address this, she turned to Magic School AI, a platform offering over 80 AI-powered tools designed to assist educators with lesson planning, assignment creation, and material generation. It’s user-friendly, click-based interface allows users to interact without the need for specialized prompts.

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Teaching: Teach Students How to Make Informed AI Decisions

My approach to AI in my writing courses is primarily to teach students how to make informed decisions about when it is appropriate and inappropriate to use AI. Part of this involves helping them understand what they do and don’t learn when they use AI. To that end, I include an AI policy statement on every assignment as well as a table that identifies what students learn if they use AI for some tasks vs.

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Teaching: Why Students Won’t Read- and What to Do about it

While reading is a mainstay in most college classes, it has gotten increasingly challenging to engage students with their assigned reading. In the insightful piece “Why Students Won’t Read—and What to Do about It,” our friend Chirs Hakala offers practical advice on how to foster deeper engagement with reading materials.

Although this piece first appeared in the summer of 2022, pre-ChatGPT, it still has legs.

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