The Learning Technology Center has been actively exploring and integrating generative AI into campus educational practices. This exploration has manifested through a series of workshops, panel discussions, and informational sessions, reflecting a shift in attitude from initial apprehension to curiosity and tentative adoption in teaching methodologies.

Lessons Learned

1. Communication, Transparency, and Setting Expectations Comprise A Responsible Use Framework: Thoughtful integration of generative AI in the classroom necessitates that instructors clearly outline their expectations, regularly address generative AI use with students, and acknowledge when and how they are using it. Use of generative AI is not appropriate for every classroom, and as such, providing students with an explanation of AI’s limitations will help dissuade improper use.
2. Privacy and Security Remain Critical Consideration Areas: As companies continue to modify, expand, and monetize platforms, how they will use personal data remains unclear. Users should be diligent in what information they share with any generative AI platform and be cognizant of what information is kept or stored with any platform. 
3. Generative AI Has Capabilities to Augment, Not Replace, Education: In just over a year of generative AI use, the best examples of AI’s transformative power in education have been in helping students and instructors achieve more, such as, increasing student access to personalized feedback and decreasing instructor workload in generating rubrics, course materials, or assignment ideas. Generative AI is not a replacement for teaching and learning, but a tool that can help all succeed. 
4. Humanity in Technology is Vital: As Dr. McGovern stated in our panel discussion, “Human beings are the final arbiters of truth.” Generative AI is not a replacement for human creativity, creation, or critical thinking. In a world where deep fakes and disinformation will need to be actively countered, it is imperative that students, instructors, and all campus constituents think critically about what content is considered original and credible. 

Summary of Key Events

1. Introduction to Artificial Generative Intelligence Workshop: These sessions provided an overview of AI in higher education, discussing its opportunities, limitations, and ethical considerations.
2. Awareness and Detection of AI Workshop: This workshop focused on equipping educators with skills to differentiate between student-generated and AI-generated content and discussed the ethical use of generative AI in coursework.
3. Incorporating AI into Assessments Workshop: This workshop demonstrated the use of ChatGPT in streamlining assessment processes, reducing instructor workload, and enhancing learning objectives.
4. Use Cases and Opportunities for AI Workshop: This workshop highlighted the diverse applications of generative AI in higher education and discussed strategies for effective implementation.
5. Ethics and Limitations of AI Workshop: This session delved into the ethical concerns surrounding generative AI, discussing the importance of responsible AI literacy, verification of authentic work, and the vital role humanity still plays in technology.
6. Panel Discussion on Generative AI in Academia: This event brought together various campus community members to discuss AI’s burgeoning role in academia, covering topics like academic integrity, educational reshaping, and institutional responsibility.

Other Resources

1. Introduction to Generative AI Knowledge Base (KB) Article – This KB gives a brief overview of what generative AI is and how it can be used with respect to privacy and security concerns. Additionally, it provides a repository of sources and links to more information. 
2. Generative AI Syllabus Policy Language KB – This article gives examples of syllabus policy language instructors can use to set expectations for generative AI use in the classroom. The example language gives instructors flexibility to determine what is best for their classroom. As the Faculty Senate passed a resolution that an AI policy must be included in syllabi, this document is invaluable in assisting instructors getting started with this process. 

Looking Ahead

Winterim Programming – In the Generative AI Series, workshops will focus on preparing instructors for AI use in the classroom, from building a syllabus policy, to integrating AI into student assignments, to finding ways to streamline classroom prep. All generative AI workshops are interconnected, but not serial, so register for as many as interest you!

Interested in finding out how generative AI can be used? Request a one-on-one consultation with an LTC expert! Other questions or concerns can be emailed to us. 

This spring, join the LTC and LEARN Center in a dynamic exploration of the 2023 Educause Horizon Report “Teaching and Learning” Edition! The report discusses the emerging trends, key technologies, and innovative practices set to redefine the student experience and our collective future in higher education. 

In an era where generative AI and other technological advancements are revolutionizing content creation, communication, and learning, the higher education sector buzzes with new possibilities, but equal challenges. These developments prompt vital questions about the responsible use of technology and its potential overreach.

Our unique “book-club-inspired” Explorers Group invites you to delve deep into these issues. Engage with fellow inquisitive members of the UW-Whitewater community, including educators, leaders, administrators, and technologists. Together, we’ll explore how the insights from the Horizon Report resonate with our experiences both inside and outside the classroom, and potential ways to prepare for the challenges it highlights.

Meeting semi-weekly, our group will focus on the essential theme of our shared humanity. We will tackle how to meet the diverse needs of our students in the face of powerful technological shifts and the growing necessity for human-centered approaches in education. Your participation will enrich our discussions on building institutional communities that prioritize student well-being and a sense of belonging.

As we conclude our sessions, we’ll reflect on the implications for educational institutions. How can we effectively prepare for the future outlined in the report? Our goal is to derive actionable insights that can significantly influence our professional paths. We’ll ponder crucial questions: What actions should we take now? What strategies should we develop for the future?

Don’t miss this opportunity to contribute to a vital conversation about the evolving landscape of higher education and its impact on our roles and responsibilities!

Excursion Dates and Time 
Various Thursdays, 3:00 pm – 4:00 pm – McGraw 19A or Hybrid via Webex

Please register individually for the session(s) you can attend.  

Navigate Generative AI with Confidence Before Finals Week!

The advent of generative AI has reshaped the educational landscape, merging the once-clear boundaries between student-crafted assignments and machine-generated content. In this new era, an educator’s role transcends imparting knowledge—it now includes mastering the intricacies of these sophisticated tools. Recognizing this essential need, the Learning and Teaching Center (LTC) cordially invites you to an encore presentation of, “Awareness and Detection of AI”, just in time for finals week! This workshop will equip you with the skills to discern between student ingenuity and generative AI’s craftiness while also fostering a culture of transparency and informed use of generative AI in coursework. 

What Will Be Covered:

• Insights into the detection capabilities and limitations of generative AI in education and how to leverage campus supported tools
• Strategies for setting clear guidelines on generative AI use in student work
• Constructive approaches to encourage students to use generative AI as a learning aid, not a shortcut

Workshop Details:

• Date: November 29th, 2023
• Time: 3:15 to 4:30 p.m.
• Location: McGraw 19a or via Webex

Unable to Attend?: Learn from our past session how to adeptly navigate the academic challenges posed by AI. Click this link for a recap. And continue to check the LTC blog for updates!

On behalf of the LTC, thank you to all the participants of our Use Cases and Opportunities for AI! If you were unable to attend the session, a summary is below:

Key Takeaways:

1. Generative AI has numerous applications across higher education; a small excerpt of examples includes summarizing texts, creating study guides, providing personalized tutoring, and generating student feedback. 
2. Prompts are but a starting point. Be as specific as possible in your query and customize it as needed to suit your objective. Modify and iterate! 
3. Optimal utilization of generative AI involves hands-on exploration. Given the highly individualized nature of job requirements and responsibilities, you are in the best position to discern how AI can be effectively harnessed for your specific role.

Supplemental Resources:

1. Presentation Slide Deck
2. Workshop Recording
3. AI for Education – Prompt Library
4. Ethan Mollick on Encoding Human Expertise 

Save the Date! The LTC is hosting “Navigating AI: Panel Discussion on Implications for Higher Education” on November 15th at 3pm – more information available here.