Call for Peer Teaching Mentees for 2024-25 (Due Sept. 3)

Application due Tuesday, Sept. 3, 2024

View the Call for Peer Teaching Mentees for 2024–25 as a PDF.

CATL is pleased to announce that the peer teacher mentoring program begun in 2022 based on recommendations from the Teaching Effectiveness Working Group and the University Committee will continue with Provost support for its third year.

The purpose of the program is to provide mentoring and support for professional development related to teaching. Additionally, this program can help build a culture of collegial teaching observations. Although now associated with CATL, as before, Professor David Voelker (Humanities and History) will work with up to eight faculty and teaching professor colleagues throughout the 2024–25 academic year. In addition to serving as a teaching mentor for the past two years, David has co-facilitated the UWGB Teaching Scholars program and the UW System’s Wisconsin Teaching Fellows & Scholars program. He has experience teaching in most modalities, including in-person, hybrid, virtual classroom, and asynchronous online.

David will work with each mentee instructor on a course of their choosing, providing feedback about classroom practices. He will meet with each instructor both before and after observing a class session. Mentees will also complete reciprocal peer observations with another participant in the program to benefit from additional feedback and to gain experience in conducting formative teaching observations. Participants are welcome to choose courses in any modality for observation.

At the end of the year, the teaching mentor will provide a written, confidential evaluation of each mentee’s teaching performance. The mentee will have the option of including that evaluation in their file for contract renewal, tenure, or post-tenure review but will not be required to do so. This process is different from typical CATL observations which are instead conducted at any time to address a specific teaching issue or concern, not to provide an overall evaluation of teaching performance.

WHY SHOULD YOU SIGN UP TO BE A MENTEE?

Participation in this program will give you two opportunities to discuss your teaching in depth and to receive detailed feedback from a supportive observer. Participation also demonstrates your commitment to professional development and provides evidence that may be utilized in a contract renewal, tenure, and/or promotion review.

CRITERIA FOR SELECTION

Participation is open to all UWGB faculty and teaching professors. While applications from assistant professors or assistant teaching professors will be prioritized, more senior faculty and teaching professors are encouraged to apply to gain experience with conducting teaching observations.
Up to eight mentees will be chosen for 2024–25. If there are more applicants than available slots, preference will be given to eligible applicants with the least amount of teaching experience at UWGB. Up to two faculty or teaching professors at the associate or full rank may be chosen. Mentees will be selected by the CATL director and the program mentor.

TO APPLY

Please complete this brief Qualtrics survey by Tuesday, September 3, 2024.

QUESTIONS

Contact CATL Director Kris Vespia (vespiak@uwgb.edu) or Professor David Voelker (voelkerd@uwgb.edu).

Dr. C. Edward Watson to Present at UW-Green Bay – Teaching with Artificial Intelligence

Preparing Students for Life Beyond College: Embracing AI as Essential Learning

UW-Green Bay is excited to welcome Dr. C. Edward Watson, Vice President for Digital Innovation at the American Association of Colleges and Universities and co-author of “Teaching with AI: A practical guide to a new area of human learning.” Mark your calendars as we kick off a new fall semester together with Dr. Watson’s presentation and read on to learn more about the presentation topic! This event is for UWGB faculty and staff. If you did not receive an Outlook invitation for this presentation, please send an email to CATL, and we will get you added to the event!

  • When: Thursday, August 29, 2024, at 2:00 p.m.
  • Where: Virtual presentation hosted in Zoom

Preparing Students for Life Beyond College: Embracing AI as Essential Learning

Generative AI tools have had an astonishingly quick impact on the ways we learn, work, think, and create. While higher education’s initial response was to develop strategies to diminish AI’s influence in the classroom, many would now argue that AI competencies and literacies must be embraced as essential learning for most colleges and universities. These responses and realities create a challenging tension that higher education must work to resolve. Drawing from the presenter’s new book, Teaching with AI: A Practical Guide to a New Era of Human Learning (Johns Hopkins University Press, 2024), this presentation and discussion will detail the challenges and opportunities that have emerged for higher education. The core focus of this keynote will be on concrete approaches and strategies higher education can adopt, both within the classroom and across larger curricular structures, to best prepare students for the life that awaits them after graduation.

Presenter Bio

Photo of Eddie Watson

C. Edward Watson, Ph.D., is the Vice President for Digital Innovation at the American Association of Colleges and Universities (AAC&U). He is also the founding director of AAC&U’s Institute on AI, Pedagogy, and the Curriculum. Prior to joining AAC&U, Dr. Watson was the Director of the Center for Teaching and Learning at the University of Georgia (UGA) where he led university efforts associated with faculty development, TA development, learning technologies, and the Scholarship of Teaching and Learning. He continues to serve as a Fellow in the Louise McBee Institute of Higher Education at UGA and recently stepped down after more than a decade as the Executive Editor of the International Journal of Teaching and Learning in Higher Education. His most recent book is Teaching with AI: A Practical Guide to a New Era of Human Learning (Johns Hopkins University Press, 2024). Dr. Watson has been quoted in the New York Times, Chronicle of Higher Education, Inside Higher Ed, Campus Technology, EdSurge, EdTech, Consumer Reports, UK Financial Times, and University Business Magazine and by the AP, CNN and NPR regarding current teaching and learning issues and trends in higher education.

UWGB Free Access to Teaching with AI

UWGB faculty and staff can get free unlimited access to the text Teaching with AI through the UWGB library!

Learning Outcomes that Lead to Student Success 

What are learning outcomes and why do you need them?

There’s a famous misquote from Lewis Carroll, “If you don’t know where you’re going, any road will get you there.” The same is true in our courses: if you don’t know what you want your students to learn, it doesn’t really matter how or what you teach them. Every instructor wants to ensure student success, but if we as instructors don’t have accurate and well-thought-out learning outcomes, what does success mean in our classes? Creating learning outcomes should be a collaborative process where instructors responsible for teaching a course come together to craft these statements based on the most important learning in a course, taking care to maintain a balance between critical thinking and base knowledge while keeping an eye toward what makes a learning outcome an achievable learning goal.

Learning outcome creation

Before you create course learning outcomes

  • If your course is part of a program, you should ensure that the learning outcomes mesh with the rest of the program to meet all program learning outcomes.
  • Plan collaboratively with colleagues teaching the same course. All learning outcomes for sections taught of the same course should have the same learning outcomes according to the HLC (Higher Learning Commission) criteria 3a.
  • With colleagues, determine and list the most important learning or skills that will take place in this course.
  • Whittle down the list if it is too large. Consider what you and your colleagues can reasonably accomplish during the semester.
  • Pay attention to the conversation around Generative AI. What your students need to know and do may change because of the rapid development of AI.

Considerations as you create your learning outcomes

  1. Keep assessment and, therefore, your verb choices in the forefront of your mind. As you write learning outcomes, you want to ensure that the learning outcomes contain actions that can be demonstrated. When you ask students to “understand” something, this is difficult to demonstrate. If they “explain” it instead, that is an action that can be done and measured in various ways.
  2. Keep Bloom’s Taxonomy next to you as you create. It makes sense to use a taxonomy when writing outcomes. In Bloom’s model, skills and verbs on the bottom of the pyramid are less complex or intellectually demanding than those at the top of the pyramid; keep in mind they may still be totally appropriate, especially for lower-level courses. More critical thinking skills are required for those skills at the top of the pyramid, but it is useful and acceptable to use verbs and abilities from all levels of the pyramid. If you are teaching an upper-level course, you don’t want to draw all your verbs and skills from Bloom’s Taxonomy’s knowledge level. You should be using some higher levels in Bloom’s system.  The chart below can be a guide as you create those learning outcomes and note that generative AI developments may make the original chart problematic in different ways. There are alternatives to Blooms, as well.

    Alternatives to Blooms Taxonomy levels and verbs.
    Newtonsneurosci, CC BY-SA 4.0 <https://creativecommons.org/licenses/by-sa/4.0>, v Wikimedia Commons
  3. Use SMART Goals also. In addition to including Bloom’s Taxonomy as part of your learning outcomes, we encourage you to make sure that your learning outcomes are created using the SMART goals model.   SMART goals were developed in 1981 by George Duran, who noticed that most business goals were not created in a way that could be implemented effectively.

SMART is an acronym we can use to describe the attributes of effective learning outcomes for your students. Please note that you will find different versions of the acronyms in the SMART goal model, but these are the ones CATL uses to discuss learning outcomes:

    • Specific – target a specific area, skill, or knowledge
    • Measurable – progress is quantifiable
    • Attainable – able to be achieved or realistic
    • Relevant – applicable to the students in the class
    • Time-based – achieved in a specific timeframe, such as a semester

Example: By the end of the semester (T), students will be able to diagram (M) the process of photosynthesis (S, A) in this biology class (R).

Learning outcomes are more likely to be meaningful if they can meet all of the qualifiers in the SMART acronym. Think specifics as you create your learning outcome. If you can’t tell if your learning outcome meets one of the qualifiers, you should rework it until it does.

Review your learning outcomes

Your next step as a team should be to review your learning outcomes. Compare them to the SMART model and Bloom’s Taxonomy or any other relevant model you might be using. If it helps, consider these examples. First, “Students will improve their understanding of passive voice.” On the surface, it might look like a reasonable goal, but then as you ask, “What does it mean to improve? Where did the student start from? When does this need to be done by?” This goal offers no answers to those questions.

How about this one? “By the end of the semester, all students will receive a 100% score on their math notation quiz.” For context, this is a Writing Foundations course. That begs the question, is this outcome relevant to this group of students? Is 100% a reasonable and attainable goal?

Consider these questions as a guide when creating SMART goals. A more reasonable goal for this group of writing students is that by the end of the semester, students will be able to identify and accurately and effectively use scholarly research in their writing projects 80% of the time. One part of the review process is ensuring your outcomes are SMART, but there are additional elements to consider, including the questions below.

  • Can you identify the verb in your learning outcome?
  • If your students master the skills in your learning outcomes, will they be satisfactorily prepared to go to another course that teaches the next level of this material?
  • If this is a course in a series, have you checked to be sure that your outcomes make sense with the previous and next courses?
  • Has your unit done curriculum mapping for its goals, and do your course outcomes align with that mapping?

Put it all together

Creating learning outcomes that reflect the learning necessary to achieve mastery in a course can be an arduous process. It should be a collaborative process as well. We encourage you to reach out to the CATL team if you would like guidance or help walking through Bloom’s Taxonomy and the SMART goal model. We are always available to help!

Resources on creating learning outcomes

Generative Artificial Intelligence: Updates and Articles for Instructors

Welcome to our GAI resource-sharing blog page! Here you’ll find some of the latest updates and articles on generative AI, curated especially for faculty and instructional staff. While there are numerous resources available out there, CATL will share a select, timely sample of articles and perspectives to help instructors stay informed about new changes in AI technology and education.

For more in-depth, instructor-focused articles on generative AI by CATL, explore our AI Toolbox Articles.

Table of Contents

Generative AI Tools Directory

Stay updated on the different AI tools being created and discover what your peers or fields might be using!

(Resources in this section are updated biannually)

May 2023 – June 2024

  • Artificial Intelligence and the Future of Teaching and Learning, May 2023. This report by the Office of Educational Technology provides insights on how AI can be integrated into education practices, and recommended responses for educators.
  • The AI Index Report: Measuring trends in AI, April 2024. Created by the Institute for Human-Centered AI at Stanford University, this report provides an analysis of AI trends and metrics, including important insights into the current state and future direction of AI for educators grappling with the rapidly evolving technology and what it means for their teaching practices.
  • AI in 2024: Major Developments & Innovations, Jan. 3, 2024. This article provides a timeline of AI developments during 2023 and newest updates in 2024.
  • 2024 AI Business Predictions, 2024. This report by PwC describes how businesses are preparing for and incorporating AI, with predictions on future trends and AI strategies in the corporate world.

Monthly Resources for Educators

(Resources in this section are updated for each month)

June 2024

Tips for Teachers

  • If you haven’t signed into Copilot with your UWGB account, now is the time! Microsoft Copilot, accessible through any browser and soon integrated into Windows 11, avoids using your personal email, which makes it a better alternative for classes. It doesn’t require providing, for example, a personal cellphone number for use, and it is available to all UWGB faculty, staff, and students with an institutional login and ID. Copilot also offers enhanced data protection when logged in using your UWGB account, although FERPA-protected and personally identifiable information should still not be entered. Watch this short video on how to log in. Remember, use any AI tool responsibly and always vet outputs for accuracy.

Latest Educational Updates

  • Latest AI Announcements Mean Another Big Adjustment for Educators, June 6, 2024. This article from EdSurge recaps some of the latest AI advancements that will heavily impact education and provides advice from instructors and ed tech experts on how to adapt.
  • AI Detectors Don’t Work. Here’s What to Do Instead, 2024. MIT’s Teaching & Learning Technologies Center critiques AI detection software and suggests better alternatives. The article advocates for clear guidelines, open dialogue, creative assignment design, and equitable assessment practices to effectively engage students and maintain academic standards.

May 2024

Tip for Teachers

  • Subscribe to the “One Useful Thing” blog by Ethan Mollick, an Associate Professor at the Wharton School of the University of Pennsylvania and Co-Director of the Generative AI Lab at Wharton.

Latest Educational Updates

Latest AI Tech Advancements

Using the Lightboard (eGlass) to Create Engaging Videos

photo of the lightboard studio 505B doorway.

What is the Lightboard Recording Studio?

Kaltura Video Tutorial: eGlass (Lightboard) Basics

UWGB instructors and students can reserve and use the Lightboard (eGlass) studio located on the 5th floor of the Cofrin Library (CL 505 B). The lightboard functions like a transparent whiteboard. You write on one side of it, and a camera records you from the other side.

Potential Use Cases

The lightboard can be a valuable tool for presenting complex materials, such as mathematical formulas or diagrams. By allowing presenters to write or draw while explaining content, it provides helpful visuals that enhance understanding, making it ideal for engaging students and simplifying complex topics.

It can also be used to facilitate ‘flipped learning.’ In this case, students receive scaffolded instruction outside of the classroom and class time is then reserved for discussion or activities in which students apply concepts to further engage with the subject matter.

Tips for Before You Record

Before you record your video using the lightboard, consider the following planning tips:

  • Keep it short. Lightboard videos should be a single topic that can fit easily on a single board. If your video requires constant erasing, it is likely too long.
  • Organize your content. Develop a structured outline or script and rehearse your video beforehand to ensure preparedness and to streamline the recording process.
  • Practice writing before you record. Spacing can be an issue on the lightboard so it is a good idea to practice laying out any complex drawings or text that you want to use in your video ahead of time. You could practice on a whiteboard or on the lightboard itself before recording.
  • Clothing choice. Dark, solid colors (grey, navy, deep reds, etc.) are best. The markers you use for the board are neon colors and tend to blend in with light shades, becoming hard to read. Avoid wearing black so you don’t blend in with the background and don’t wear clothing with large logos or lettering (the writing/logo of your shirt will be flipped and might be a potential distraction in the video).

Tips for Recording Your Video

During the recording process, keep the following tips in mind to enhance the quality and effectiveness of your video.

  • Do a quick mic-check. Consider recording a quick 10-30 second video to ensure that the microphone, camera, lightboard brightness and settings are functioning properly.
  • Stay close to the eGlass lightboard. Stepping away from the board will reduce the amount of light that hits your face and may also affect the camera focus, making you appear blurry.
  • Try to leave room for yourself as you write on the glass. Be mindful of space as you draw and write on the board. Move to the side as you write and try to not cover your face with text.
  • Point and emphasize content. When you are speaking about something specific on the board, point to it, circle it, or underline it to draw attention to that specific item.
  • Look at the camera when recording. When you are not drawing or writing, address the camera as it represents your audience.
  • Have fun with it and enjoy the process! Having fun while making these videos will make for more engaging content.

Reserving the Room

Reserve and check out the room through the UWGB library reservation system.

  • Note: Please call the UWGB IT Service Desk at 920-465-2309 or report issues to gbit@uwgb.edu if you encounter technical difficulties with the studio computer or lightboard hardware.

Related Resources & Alternative Recording Methods