University Libraries

New Asynchronous AI in Teaching & Learning Institute Now Open for Registration

The Center for Teaching, Learning, and Assessment (CTLA) is launching an Asynchronous AI in Teaching & Learning Institute on March 3. This modular course offers faculty strategies for integrating generative AI into their teaching and administrative workflows. Developed by CTLA’s GenAI Faculty Fellows, the institute provides practical, customizable learning experiences covering topics like AI-assisted writing, rubric generation, interactive class activities, and more.

Thanks to the Konneker Learning and Discovery Fund grant, the first 80 full-time faculty who complete the course and implement AI enhancements in their teaching are eligible for up to $500 in stipends.

Additionally, recordings from the recent Custom GPT Workshop by Professor Jared DeForest are now available for those interested in building tailored AI tools for research and instruction.

🔗 Register for the AI Institute

View Custom GPT Workshop Recordings

• 🔗 Workshop Part 1
• 🔗 Workshop Part 2
• 🔗 Workshop Part 3
• 🔗 Workshop Slides

Chatbot 101: How to Develop a Chatbot to Serve Your Students (recording available)

The recording (linked) is sponsored by Amazon Web Services and The Chronicle of Education.

"Generative AI can be used for chatbots and so much more – see how universities and colleges are leveraging generative AI to boost productivity, improve student experiences, and unlock efficiencies."

More from the Chronicle:

1. AI Chatbots Pose Ethical Risks. Here’s How One University Is Handling Those.
2. How Generative AI is Changing the Classroom
3. Are We Asking the Wrong Questions About ChatGPT? "Stop agonizing about your syllabus policy and start helping students use AI to extend, not replace, their thinking."

Register Now for The Chronicles of Higher Ed's Chatbot 101: How To Develop A Chatbot To Serve Your Students Webinar

Details and registration information available of the Chronicles of Higher Education's website.

Join us Wednesday, July 17, from 2-3:15 pm ET at Chatbot 101: How to Develop a Chatbot to Serve Your Students for expert tips and a Q&A discussion.

Chatbots are no longer a novelty, something people spend time talking to for fun. They're useful tools, capable of helping students get the answers they need, when they want it. And while some institutions are already seeing results of improved retention and bolstered enrollment through their chatbots, many others are still left wondering where to even begin.

Discover what you need to know to get started with a chatbot at The Chronicle’s upcoming Virtual Forum. We'll be bringing together a group of experts and early adopters to offer step-by-step tips on building a chatbot, understanding the time and money it takes, and how to get the most out of this emerging technology.

Haileybury's approach to Artificial Intelligence: To support teachers in communicating expectations with students

From Michelle Dennis, Head of Digital at Haileybury, via LinkedIn:

"Today we updated Haileybury's approach to Artificial Intelligence with a focus on the key principles of Academic Intelligence, Ethics & Critical Thinking, Privacy & Security, Creative Uses and Key Skills. At heart, we are trying to strike a balance between preparing students for the future (including some robust discussions about the impact of AI on society) and ensuring that we do so without taking away from the development of foundational skills. To support teachers in communicating expectations with students, I've created these Canva templates. Teachers are able to edit these before adding them to assignments, allowing them to customise the banners to fit with the unique needs of different Subject areas."

AI-related eBooks available at OHIO Libraries for CTLA's Course Re-design with AI

The OHIO Libraries have over 100+ eBooks on AI, but here are two related to teaching and education and AI.

1. Co-Intelligence: Living and Working with AI
2. Teaching with AI: A Practical Guide to a New Era of Human Learning
3. Artificial intelligence in education : the power and dangers of ChatGPT in the classroom
4. Machine learning in educational sciences : approaches, applications and advances
5.  AI in learning : designing the future
6. Artificial intelligence and inclusive education : speculative futures and emerging practices

Academic Applications of AI: Building Collaboration Among Libraries, IT, Faculty, & Students at SDSU (presentation)

"Building on these successful models, and engaging project-specific partners from the Center for Teaching and Learning and the Division of Student Affairs and Campus Diversity, San Diego State University (SDSU) has launched a suite of data-informed initiatives around the academic applications of artificial intelligence (AI), including a faculty learning community, survey of emergent student practices, and microcredential program aimed at helping instructional faculty and librarians to apply generative AI technology efficiently, effectively, and ethically in face-to-face and online instruction, and as part of student success services offered in the library and through campus tutoring programs."

CNI: Coalition for Networked Information presentation.

Association of Research Libraries and Coalition for Networked Information Publish AI-Influenced Scenarios for Research Environment

The Association of Research Libraries (ARL) and the Coalition for Networked Information (CNI) are pleased to announce the publication of The ARL/CNI 2035 Scenarios: AI-Influenced Futures in the Research Environment. These scenarios explore potential futures shaped by the rapid growth of artificial intelligence (AI) and its integration within the research environment.

Developed through a robust, member-driven process, these scenarios serve as a strategic resource to aid leaders in the research environment in navigating the complex landscape of AI technologies. Library directors, IT leaders, funding agencies, academic presidents and provosts, and those working in scholarly publishing are among the many individuals who will find these scenarios useful. By examining diverse futures, ARL and CNI aim to equip their members with the foresight needed to proactively address the challenges and opportunities that AI presents.

A core principle of scenario planning is to focus on plausibility over probability, encouraging the exploration of a broad spectrum of potential futures. As such, when using scenarios for strategic planning, users do not choose one scenario and plan toward it but focus on the set of scenarios that elevate the most critical uncertainties the scholarly ecosystem needs to address. While the future may not unfold exactly as any specific scenario describes, it is likely to contain elements from all the scenarios we envision as well as surprises we did not consider. This approach ensures that we remain flexible and prepared for a range of possible outcomes, while not trying to predict the future.

“The ARL/CNI 2035 AI Scenarios provide our members with critical insights into how AI could reshape the research environment over the next decade,” said Andrew K. Pace, ARL executive director. “We believe these scenarios will not only inspire innovative approaches to library services and infrastructure but also strengthen our community’s readiness for emerging technologies.”

Key highlights from the publication include:

• Scenario 1—Democratizing AI is a world in which AI technologies create an unprecedented integration of human and computational capabilities that flourish with increasingly open knowledge access. In this scenario, AI integrates with humans seamlessly, responsibly, and safely.
• Scenario 2—Technocratic AI is a world in which AI’s impact on the research and knowledge ecosystem is relatively low, with the primary AI advances and impact being seen in consumer applications that are readily profitable, relatively uncontroversial, and lower-barrier applications.
• Scenario 3—Divisive AI is a world of missed opportunities, bad decisions, and fecklessness. AI applications incorporating egregious bias or dysfunction were deployed, leading to misinformation validating and strengthening flawed systems that exclude many and strengthen and enrich a few.
• Scenario 4—Autonomous AI is a world in which AI is becoming an increasingly independent partner and collaborator in research and learning. Knowledge advances rapidly well beyond the research advances possible by humans. Society has knowingly and unknowingly given up increasing agency to AI.

The scenarios were developed after extensive research and input from a wide range of stakeholders, including the ARL/CNI Joint Task Force on Scenario Planning for AI & ML Futures. This publication marks a significant step forward in understanding and preparing for the future impacts of AI.

The full scenarios document is available for download from the ARL website: The ARL/CNI 2035 Scenarios: AI-Influenced Futures in the Research Environment. A more robust set of scenarios will be published at the end of May and will include a number of documents produced through the research process, including provocateur interviews, context-setting documents, and other reports. ARL also plans to host a number of events this fall to assist the research community in leveraging the scenarios for strategic planning at their organizations.

OSU Open and Free Virtual Worshops on Teaching AI Literacy

Teaching Artificial Intelligence Literacy

August 29, 2024, 12:00-1:00 pm

To register: https://go.osu.edu/teachingailit

Teaching students how to effectively and ethically engage with AI tools is a key concern for many educators. This free virtual workshop will explore the concept of AI literacy. What are some of the core competencies and habits associated with AI literacy? How is AI literacy related to information literacy? What are some strategies and activities that instructors can use to help students develop their AI literacy? Participants should leave with a better understanding of the concept of AI literacy and ideas for how they can incorporate a focus on AI literacy into their teaching practices. All are welcome!

Teaching AI Literacy: Engaging with AI Tools

September 5, 2024, 12:00-1:00

To register: https://go.osu.edu/teachingaitools

In this interactive virtual workshop, participants will have the opportunity to experiment with using several different AI tools. Participants will also learn strategies for effective prompting. Attendees should leave with ideas for how they may be able to incorporate AI tools into their teaching, research, and/or work practices. All are welcome!

The beginning of the AI guide and blog

We are live! This AI guide and it's blog will evolve and transform with new content and updates over time. Throughout the guide, you will find a survey to submit content suggestions and questions, so please take advantage of that. Several units and folks throughout Ohio University have contributed to make this guide happen, thank you for all of the perspectives that have helped and will continue to help along the way.

As for this blog, as content submissions come in, or major guide updates happen, or interesting readings/topics arise, they will be posted on this blog so you can stay informed. Feel free to subscribe!

Let's learn and experiment with AI with human intention, shall we?