About Active Teaching Lab

Active Teaching Lab provides instructors an opportunity to learn from other educators. Each month a UWM instructor shares how they utilized a cool tool or a teaching strategy in a course and the outcome: what worked, what was hard, what was learned through the process, and what they’d do differently.

After the short presentation, attendees will learn how to use the tool or strategy shared and have the opportunity to unpack the pedagogy informing it.

Active Teaching Lab is held the first Wednesday of the Month, 9:00 – 10:00am – in B73 Engelmann Hall and live via Zoom!

REGISTRATION: The Labs are open to all. Registration is not required, but is appreciated.

LIVE: Not able to make it to a Lab? Fear not! All Labs will be recorded and handouts will be made available electronically in the Session Archive.

Fall 2024 Schedule

AI as Catalyst: Empowering Students to Focus on What Really Matters

November 6  | Cynthia Brinich-Langlois and Joseph Mougel

Are your students spending too much time on tasks that don’t meaningfully enhance their learning?

Join us November 6th to learn how instructors Cynthia Brinich-Langlois and Joseph Mougel harnessed AI in their classes to enhance student creativity and efficiency. By asking students to utilize AI tools in course work, Cynthia and Joseph allowed students to focus more on core learning objectives, spend less time on extraneous work, all the while producing higher-quality material faster. This workshop will provide hands-on opportunities to incorporate AI into course activities within any discipline, helping us see how AI technology can enhance rather than distract from our teaching goals.


Building Courses Faster: How AI Supports, but Doesn’t Replace, Instructor Expertise

December 4  | David Parks

David Parks

Curious about how AI can lighten your workload without cutting corners?

Join us on December 4th as David Parks shares how he leveraged AI to build a course in just three weeks. AI helped David generate slides, create sample datasets, and build homework questions. AI was instrumental towards building his course, yet Dr. Parks found that his subject expertise was essential to steering AI and helping it overcome its frequent hallucinations. This session will delve into how AI can accelerate course creation without sacrificing quality, followed by an interactive activity to help you implement these strategies in your own teaching.

AI as Catalyst: Empowering Students to Focus on What Really Matters

In this session Cynthia Brinich-Langlois and Joseph Mougel shared how they harnessed AI in their classes to enhance student creativity and efficiency. By asking students to utilize AI tools in course work, Cynthia and Joseph allowed students to focus more on core learning objectives, spend less time on extraneous work, all the while producing higher-quality material faster.

Reimagining Assessments: How AI can Improve Low-Stakes Assessment and Boost Student Learning

In this session from October 2nd, Mark Sullivan shared how utilized AI to help him quickly build reading comprehension questions. Mark found that by partnering with AI, the quality of his questions improved, the time he took to build these questions decreased, and he was able to do more low stakes assessments in his course, which together improved his student learning outcomes.

In our Lab discussion we explored how to use AI to create meaningful questions, and how to create files that will automatically import quizzes into Canvas. See Lab Notes for additional information.

In this session from September 11th, David Delgado guides us through the latest AI innovations and their impact on education, helping you understand what’s new, what’s next, and what matters for instructors. We then bring the conversation into the classroom, examining actionable strategies to help students ethically utilize AI, and explore how you might integrate AI into your course.

Generative AI, Academic Libraries, and Student Research

In this session from May 1st Kate Ganski and Heidi Anoszko of the UWM libraries lead a facilitated discussion to empower instructors to move beyond pro/con thinking about AI and student research. They’ll lead you through guided reflections to arrive at a disciplinary and student-centered approach that you can apply to improve your next research paper assignments.

Writing, AI and Rhetorical Thinking Across the Disciplines

In April’s Active Teaching Lab, Shevaun Watson and David Kocik explored the intersection of AI and writing instruction. Watson and Kocik argued that while AI can generate writing content, it tends to build generic responses that often lack depth, detail, and analytical rigor. Fundamentally, AI writing lacks rhetorical focus: the purpose, intended audience, and context of communication.

Yet, our students struggle to engage with text at a rhetorical level as well. Foundational English courses explore the importance of rhetorical reading, but afterwards students frequently fail to examine rhetorically their course texts, preferring instead to focus on “what’s on the test.” Watson and Kocik suggest we as instructors can help students to think more critically about written text by building assignments that challenge them to read more deeply and rhetorically.

And it is here AI might serve as a valuable resource. Educators can leverage AI as a pedagogical tool to deepen students’ understanding of reading and writing as a rhetorical activity, and teach them the complexities and implicit biases of communication in diverse contexts. Watch the session video to learn more.

Watson and Kociks’ recommendations as to AI’s usefulness to teaching are being echoed in departments outside English and institutions beyond UW-Milwaukee. Business schools at American University and the University of Pennsylvania have both deeply integrated AI into their curriculum. Students utilize generative AI as coaches to learn coding for data analysis, as debate partners to prepare for negotiations, and personalized search engines to mine text. More information can be found here: “Business Schools Are Going All In on AI.”

Teaching Smarter, Not Harder: AI Strategies for Educators

Join us on March 6th, as we utilize generative AI to automate work, expand our educational toolbox, and save time. Led by Lane Sunwall, this session will demonstrate how AI can transform your teaching by serving in four crucial capacities: as a personal assistant to handle administrative tasks, as a coach for acquiring new skills, as a tool to boost student engagement through personalized and differentiated materials, and finally, as a digital editor to refine educational content and communication.

This session will equip you with practical skills to leverage AI for each of these roles, enabling you to focus more on your students, effective teaching, and your research. Bring your laptop to engage directly with AI and discover its potential with other instructors.

Adapting to AI: Tools and Strategies for 2024

On February 7th, David and Lane lead an exploration into recent AI advancements and how they’ll shape your classroom throughout the upcoming year.

David Delgado began the session showcasing impactful new tools and AI capabilities that are continuing to reshape the educational landscape: including Microsoft Copilot, AI data manipulation, image generation, and mobile AI integration. Afterwards, Lane dove into a hands-on showcase of these tools and a collaborative discussion to exchange ideas and strategies. Finally, Lane wrapped up the session with real-world examples of how educators outside the UW system are utilizing AI and navigating its challenges into 2024.

Student Perspectives on AI

December 6, 2023

In December’s Active Teaching Lab, one undergraduate and three graduate students shared how they and their peers weave artificial intelligence (AI) into their academic work and daily lives. The lab’s conversation navigated through the complexities and ethical considerations of AI use. Students expressed concerns about the accuracy of AI-generated content, potential biases in the information AI provided, and the implications for privacy and intellectual property rights.

Despite AI’s issues, the students noted that the practical applications of AI were expansive. They highlighted its role as a project collaborator: a resource to check citations, revise drafts, and brainstorm ideas. Additionally, they shared how AI served as a research assistant to summarize articles, pinpoint key themes, and recommend related texts.  Finally, as AI continues to improve, and is integrated it into more and more of our digital lives, the students argued there is a need to teach them how to use AI effectively, yet with a critical eye to its faults. In essence, they suggested instructors needed to train them in a new set of digital skills that are fast becoming essential to success in the classroom and the marketplace.

Strengthen Student Engagement via AI-enhanced Assignments

November 1, 2023

On November 1st, Deanna Wesolowski shared how she increased student engagement and learning through the use of AI.

Concerned students would use AI to cheat in her classics course, Dr. Wesolowski adapted: instead of asking students to write a traditional three-page paper, she tasked them with editing, revising, and critiquing an essay written entirely by Chat-GPT. Dr. Wesolowski found the activity improved student knowledge of course content, boosted student interest and engagement, and highlighted to students the danger of relying solely on AI to write their papers.

Teaching and AI Ethics in Today’s Digital Classroom

Generative AI is a powerful tool that can enhance student learning and our own teaching. Yet, we know AI likewise opens the possibility of undetectable academic misconduct.

In this session Lois Scheidt shares her strategies to help her students use AI responsibly, ethically, and in a manner that fosters better reasoning skills in her online course. We explore AI classroom ethics, how to establish clear guidelines for using AI in your course, and how to use generative AI as a powerful teaching tool.

Today’s AI Technology and its Impact on your Classroom

September 13, 2023

Are you intrigued by the possibilities of AI but concerned about its role in your teaching environment? Join us for an illuminating exploration by Lane Sunwall and David Delgado into the present and future of AI technology.

In this workshop, we’ll delve into the current AI landscape and unveil future AI features and applications. Next, we’ll explore into AI’s impact on education, offering insights into crafting effective AI classroom policies and integrating time-saving AI tools into your teaching routine. Finally, we’ll examine innovative assignment techniques that reinforce course objectives while utilizing AI. Bring your laptop or mobile device to engage in a hands-on activity that will provide you tailored resources you can use this upcoming semester.

Contact UWM’s Center for Excellence in Teaching and Learning

Engelmann Hall, Room B50
2033 E Hartford Ave
Milwaukee, WI 53211

Phone: 414-229-4319
Email: cetl@uwm.edu

Monday – Friday
9:00 AM to 4:30 PM


Memorial Day Hours:
Closed — Monday, May 27, 2024