High-Impact Practices

What are High Impact Practices?

High Impact Practices (HIP) are experiences that engage students with real-world problems, allow students to interact with their instructors, fellow students and community members, encourage students to explore new interests and develop new passions, and provide students with opportunities to challenge themselves and achieve things they may not have thought possible.

Some examples of High Impact Practices include:

  • First year seminars
  • Common intellectual experiences
  • Learning communities
  • Writing-intensive courses
  • Collaborative assignments and projects
  • Undergraduate research, scholars and creative activities
  • Diversity/global learning
  • Service learning/community-based learning
  • Internships
  • Capstone courses

Why do HIPs make a difference?

Key characteristics of HIPs is that they are effortful and help students build substantive relationships. They engage students across disciplines while providing them with rich feedback. They also help students apply and test what they are learning in new situations, and provide opportunities to reflect on the people they are becoming.

High Impact Practices such as those listed above have numerous positive impacts on students and on the institution, such as increased student persistence and GPA, higher rates of student-faculty interaction, increased critical thinking and writing skills, greater appreciation for diversity, and higher student engagement overall.

In short, deep approaches to learning, such as High Impact Practices, help students make richer more lasting connections to material through an emphasis on integration, synthesis and reflection.

A colorful, geometric, and somewhat abstract illustration featuring buildings and streets covered with arrows, numbers, and the text "AI"

Generative AI and Assessments Workshop (June 28, July 18, Aug. 8, & Aug. 30, 2023)

Please join CATL for a virtual summer workshop focused on creating assessments in the age of generative AI (e.g., ChatGPT)! CATL facilitators will work with instructors to review their learning objectives, discuss the implications of emerging AI products, and brainstorm creative, high-quality, aligned, and feasible strategies for adapting course materials and assessments.

To participate in this virtual workshop, CATL asks that instructors bring a course syllabus with learning outcomes, ideas for at least two assessments for that course, and a willingness to engage in a reflective process that includes thinking about how generative AI technologies might impact those course materials. This workshop, “Generative AI and Assessments,” will occur three times throughout the summer months with more offerings to come in the fall. While registration is not required to attend, we encourage you to register today to receive a calendar reminder for the timeslot that works best for you!

Workshop Dates and Times:

All sessions are fully virtual and will meet via Microsoft Teams. Each workshop will be the same so please only sign up for one timeslot.

If you need accommodation for this virtual event, please contact CATL at CATL@uwgb.edu.

Register

 

How Will Generative AI Change My Course (GenAI Checklist)?

With the growing prevalence of generative AI applications like ChatGPT and the ongoing discussions surrounding their integration in higher education, it can be overwhelming to contemplate their impact on your courses, learning materials, and field. As we navigate these new technologies, it is crucial to reflect on how generative AI can either hinder or enhance your teaching methods. To support instructors in this endeavor, CATL created a video presentation and checklist designed to help you assess the extent to which generative AI will affect your courses and provide guidance on next steps for moving forward.

How Will ChatGPT Change My Course – CATL Presentation Slides (PDF)

Checklist for Assessing the Impact of Generative AI (ChatGPT, etc.) on your Course

View the Checklist for Assessing the Impact of Generative AI as a PDF.

Step One: Experiment with Generative AI

  • Experiment with ChatGPT or a similar application by inputting your own assignment prompts and assessing its performance in completing your assignments. Consider using a de-identified email account when doing so.
  • Research the potential benefits, use cases, limitations, and privacy concerns regarding generative AI to gain a sense of the potential applications and misuses of this technology.

Step Two: Review Your Learning Outcomes

  • Reflect on your course learning outcomes. Which outcomes lend themselves well to the use of generative AI and which skills go beyond the current limitations of AI? Keep this in mind as you move on to steps three and four, as the way students demonstrate achieved learning outcomes may need to be adjusted in course assignments/activities.

Step Three: Assess the Extent of AI Use in Class

  • Assess to what extent your course or discipline will be influenced by AI advancements. Are experts in your discipline already collaborating with tools like ChatGPT? Will current or future careers in your field work closely with these technologies?
  • Determine the extent of usage appropriate for your course. Will you allow students to use it all the time or not at all? If students can use it, is it appropriate for only certain assignments/activities with guidance and permission from the instructor? Be specific and clear with students and teach them how to cite ChatGPT.
  • Revisit your learning outcomes (step two). After assessing the impact of advancements in generative AI on your discipline and determining how the technology will be used (or not used) in your course, return to your learning outcomes and reassess if they align with course changes/additions you may have identified in this step.

Step Four: Review Your Assignments/Assessments

  • Review your assignments and evaluate whether revisions are needed to make them more resistant to generative AI or to incorporate generative AI collaboration. Which assignments are vulnerable to applications like ChatGPT and which ones can stay as is?
  • Provide an alternative for students who choose to opt-out of working with generative AI due to legitimate concerns regarding privacy and accessibility. This only applies if you choose to incorporate generative AI into an assignment.
  • View this CATL blog post on strategies for creating “generative AI-resistant” assessments for recommendations that focus on avoiding generative AI usage and view this resource on what aspects ChatGPT struggles to do.

Step Five: Update Your Syllabus

  • Add a syllabus statement outlining the guidelines you’ve determined pertaining to generative AI in your course. You can refer to our syllabus snippets for examples of ChatGPT-related syllabi statements.
  • Include your revised or new learning outcomes in your syllabus.

Step Six: Prepare to Address Misuse

  • Develop a plan for potential instances of suspected misuse. Your syllabus will be a valuable resource to communicate those expectations and boundaries to students.
  • Address and discuss your guidelines and expectations for generative AI usage with students on day one of class.

Step Seven: Seek Support and Resources

  • Engage with your colleagues to exchange experiences and best practices for incorporating or navigating generative AI.
  • Stay informed about advancements and applications of generative AI technology.

Need Help?

CATL is available to offer assistance and support at every step of the checklist presented above. Contact CATL for a consultation or by email at CATL@uwgb.edu if you have questions, concerns, or perhaps are apprehensive to go through this checklist.

Cold Lunch & Hot Topics: “How Can We Implement Ungrading?” (June 26, 11:30 a.m.)

Bring your lunch and join the conversation with CATL and instructors from across the institution as we discuss a hot topic in teaching and learning! Join Shara Cherniak (Assistant Professor, Education) and Kris Purzycki (Assistant Professor, Humanities) for an informal conversation on the topic of “ungrading” and alternative assessments this June.

This virtual session will be held on Monday, June 26, from 11:30 a.m. – 12:30 p.m. via Microsoft Teams. Register to receive a calendar reminder and the Teams link for the session.

Register

If you need accommodation for this virtual event, please contact CATL at CATL@uwgb.edu.

Do you have an idea for a future Cold Lunch & Hot Topic? Email CATL Director Kris Vespia (vespiak@uwgb.edu).

Raising Student Evaluation Response Rates

Student evaluations of teaching play a crucial role in professional and course development and in the personnel review process. If they are to be useful, it is important that the data they provide be as accurate as possible. Unfortunately, students are not always motivated to complete them, perhaps because they don’t realize their voice is valued in this process. It is also well-documented that response rates for online evaluations are lower than for in-person administration. There are concrete strategies available to increase participation; however, and research points to creating a positive classroom culture and having explicit discussions of evaluations and specific ways they have been/will be used to inform courses as particularly effective (Chapman & Joines, 2017). A summary of some additional techniques is included below.

  • Make an announcement about evaluations in person (if possible) and in your Canvas course. Do this at the beginning and near the end of the survey period. Be sure to explain why student feedback is important and give specific examples of how you have used it in the past to revise classes. If you are teaching online, you could accomplish this with a short video.
  • Provide some time in class or a space online for students to ask questions about evaluations and their uses at UWGB.
  • Allow students time in class to complete their surveys, making sure to leave the “room” when you do. You should not be present when students complete evaluations. If you do provide time, note that ending class early to do so may only result in students leaving. In online courses, you might factor additional time for evaluations into your calculations of workload for the week and let students know that.
  • Assure students that the surveys are anonymous. Reinforce the point by leaving the physical or Zoom room when the students take them.
  • Include the direct link or QR code for your specific course evaluation in the Canvas announcement. You might also attach this helpful Knowledge Base article so students know how to locate the surveys for all their classes or even show in-person students where to find the necessary information.
  • Put “Complete Course Evaluation” as a task in your Canvas shell and include it on the calendar so it shows up on students’ “To Do” list for the class.
  • Bring the topic of the evaluations up several times during the period they are open, so they remain top of mind for students, even if you’ve already allowed time to complete them in class.
  • Monitor overall response rates for your classes during the open period. Ethically, you cannot award credit for completing an evaluation, and remember they are anonymous. You can, though, make classes aware of response rates and even create a contest between course sections to see who can achieve the highest overall response rate by a specific date. Offer a non-tangible prize to the winning class, such as bragging rights or a choice on a final assignment.
  • Throughout the semester, foster an environment of open communication and respect with students, which may motivate them to see their feedback as valued and worth taking the time to provide for you.

Chapman, D.D., & Joines, J.A. (2017). Strategies for increasing response rates for online end-of-course evaluations. International Journal of Teaching and Learning in Higher Education, 29(1), 47-60. http://www.isetl.org/ijtlhe/