Center for Teaching and Learning
2025-2026 Events
Embedded Files
CTL Initiatives
Long-term projects that everyone is invited to participate in.
Teaching Triangles Badge
If you are interested, please complete this quick initial interest Survey
Interested in supportive peer-led conversations related to your teaching? Then this initiative is for you! Teaching triangles are made up of three faculty that agree to observe each others' teaching over the course of a semester. The goal IS NOT to provide feedback to the colleagues you observe, but rather to observe some pedagogies that your colleagues employ and reflect on how they might relate to or enhance your own pedagogies. Participants will be asked to meet once with their triangle before teaching observations, observe each colleague once during the semester, and meet again after all class visits are complete. There will be two reflections that participants will complete at the end of the experience. The CTL will provide funds for lunch for participating faculty!
AI Exploration
If you are interested in exploring AI further, please stop by the AI Playground (BML 201) every Friday, 3 - 4 pm, for a dedicated work time, conversation, tea and treats.
If you are interested in presenting during Faculty Development Day on how you are exploring the use of AI for your work or with your students, please email Irina (imakarevitch01@hamline.edu).
CTL Presents (Tuesdays Convo Hour)
professional development sessions led by the CTL faculty fellows on various topics.
10/7/25, Tuesday; 11:30 am - 12:30 pm - CTL Presents: It's about Learning, not Teaching - student engagement and active learning approaches
When you enter the classroom, what is your goal? What are your goals for your students? What are your students' goals? When most of us were in school, the goal for the instructor was to tell students about the topic or "to get through" a particular chunk of material. The goal for students was to take good notes and maybe understand some of it. We now know that active learning is a more efficient way to learn and many of us accept that the real goal of that class is for students to learn not for us to teach. These active learning strategies could look very different for different disciplines or be surprisingly similar. During this session, we will discuss our favorite strategies of active learning and learn with/from each other.
https://www.teachersfortomorrow.net/
11/11/25, Tuesday; 11:30 am - 12:30 pm - End of the Semester Blues - strategies to help ourselves and our students
The last weeks of the semester are so important and yet could be so daunting. We will discuss strategies to maximize the value of these weeks while managing the load for both instructors and students and maintaining energy.
https://hub.hindscc.edu/blog/conquering-the-end-of-semester-blues
CTL Brown Bag Lunch, Cookies, and Conversation
collegial sessions of sharing challenges and solving problems while enjoying snacks and conversation
September 11, Thursday; 11:30 am - 12:30 pm - Hamline Plan Assessment - Paula Mullineaux and Irina Makarevitch
Are you teaching Hamline Plan courses this year? Do you know how to align your assignments, learning outcomes, and rubrics? Please stop by to obtain resources, discuss learning outcomes, and brainstorm effective ways to assess your students' learning.
October 30, Thursday; 11:30 am - 12:30 pm - Preparing Students for an AI-infused World
Welcome to today’s Brown Bag Conversation on Preparing Students for an AI-Infused World. As artificial intelligence reshapes how we learn, work, and communicate, educators face new questions—and new opportunities—in guiding students through this evolving landscape. This session invites open dialogue about how we can thoughtfully equip our students with the skills, ethics, and adaptability needed to thrive alongside AI.
CTL Book Club
read a book, come to talk about a book, learn from and with your colleagues
October 16, Thursday; 11:30 am - 12:30 pm - "Hacking College: Why the Major Doesn't Matter—and What Really Does"
Ned Scott Laff and Scott Carlson (Author)
How college faculty and staff can help students "hack" their college experience through a proactive, personalized approach to success.
Please be ready to name one idea that sticks with you / touches you the most. And please send in discussion questions you might be interested in bringing up. Do you want a free copy of the book? Ask Irina (imakarevitch01@hamline.edu)
Scholarship and Pedagogy Seminar
Present your work, support your colleagues, learn, collaborate, and enjoy
If you are interested in presenting a 20-30 minutes presentation of your work - this space is for you. It could be a chance to have a trial presentation for a conference, or a discussion of your most recent project that is not quite done yet; an idea-generation session; or a conversation about something you are eager to try in your classroom. This is a space for scholarship (including creative inquiry and pedagogy) conversations with your peers from various fields.
October 2, Thursday; 11:30 am - 12:30 pm - Professor Stacie Bosley
Earnings Claims in Multi-level Marketing: Testing Self-Regulatory & Regulatory Responses
Regulators, including the U.S. Federal Trade Commission (FTC), are taking an increasingly close look at the earnings representations made by multilevel marketing (MLM) companies when they recruit and train their independent contractor workforce. Prior research has found that MLM firms frequently use atypical earnings claims in their marketing materials and that they generally do not provide objective data on past participants’ revenues and expenses to prospective or current participants. In a series of papers, we test the efficacy of the industry's own self-regulation and the potential impact of information mandates to inform future policy and regulatory action.
Note: these papers are co-authored with Sarah Greenman and Samantha Snyder and three Hamline undergraduate students.
October 23, Thursday; 11:30 am - 12:30 pm - Professor Andreas Schramm
How intelligent are LLMs? On the Lack of Human-Like Understanding and Cognition in Large Language Models
Large language models (LLMs) exhibit increasingly sophisticated linguistic capabilities, yet the extent to which these behaviors reflect human-like cognition versus advanced pattern recognition remains an open question. In this study, we investigated how 8 LLMs process the temporal meaning of linguistic aspect in simple narratives that were previously used in human studies. Using an Expert-in-the-Loop probing pipeline, we conduct a series of targeted experiments to assess whether LLMs construct semantic representations and draw pragmatic inferences in a human-like manner. Our findings show that LLMs over-rely on prototypicality, produce inconsistent aspectual judgments, and struggle with causal reasoning derived from aspect, raising concerns about their ability to fully comprehend narratives. These results suggest that LLMs process aspect fundamentally differently from human cognition and lack robust narrative understanding.
November 20, Thursday; 11:30 am - 12:30 pm
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Center for Teaching and Learning; Bush Memorial Library (BML 205)
1536 Hewitt Avenue, St. Paul, MN 55104
ctl@hamline.edu
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