Synchronous/Live Workshops:

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• "The Basics of AI: Knowing When and How to Use Generative Artificial Intelligence"

June 4, 2024,  11am - 12:30pm EST, Online

Presented by Rutgers' School of Public Health, TLT, and OTEAR

 

This workshop is designed to assist faculty members interested in exploring generative AI tools such as ChatGPT, Dall-E, Gemini, Claude, and others. Attendees will discover which tools are most effective for various applications and learn how to craft prompts to achieve specific outcomes. Participants are encouraged to set up AI accounts and engage actively as we explore uses in creating literature reviews, designing assignments and rubrics, enhancing lectures with illustrations, interpreting charts, and more. The ultimate goal is to enhance understanding of the strengths and limitations of these applications and their potential impact on teaching and learning.

 

Register Here: After you register you will receive a confirmation email with meeting details.​​​​

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• AI Tools for your Research with Google Cloud Platform

June 10, 2024, 10am-1pm, Online

Presented by Rutgers Office of Advance Research Computing

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The Rutgers Office of Advanced Research Computing (OARC) invites you to an interactive workshopGoogle Cloud to learn more about how to integrate AI tools into your research platform. Join us for presentations, demos, and hands-on labs facilitated by the Google Cloud team.

 

Register Here (virtual only; in-person registration is at capacity).

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• 2024 Rutgers-Newark Summer Hackathon

June 11, 2024, 9am to 5pm, EST, In-Person Event

Dana Library, 185 University Avenue, Room 320 (photo ID required for entry)

Presented by the Quantum Multiscale NSF Center, the Rutgers-Newark Department of Physics, and the P3 Collaboratory

Sponsored by the National Science Foundation under grant No. OAC-2321103.

 

Whether you are a student, researcher, or instructor, Python can fundamentally revolutionize the way you work. At the 2024 RU-N Hackathon, attendees will have opportunities to (1) learn the basics of Python (in our coding camp), (2) practice coding for their own projects (in the coding lab / “hacker space”), and (3) even have the opportunity to discuss their coding needs and questions with experts (in the coding clinic!). 

 

The hackathon provides a friendly atmosphere to learn, practice, and master coding in a judgment-free, fun-filled environment! Be sure to bring your own computer.

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Hackathon Schedule:

Coding Camp

9am - 9:30am: Welcome (breakfast provided)

9:30am - 12pm: Basic Python for Beginners

12pm - 1pm: Lunch (provided)

 

Coding Clinic

1pm - 5pm: Apply Python to your own project (with expert help!)

 

All-Day Coding Lab / “Hacker Space”

9am - 5pm: Hackers room and code lab: get your coding done peacefully and ask experts any questions!

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Register Here: Please RSVP by June 7th to reserve your space. 

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• Exploring the Generative AI Revolution: Shaping the Future of Higher Education

June 20, 2024, 1pm to 2pm, EST, Webinar - presented by Canvas

Presented by the NorthEast Regional Computing Program (NERCOMP)

Artificial Intelligence has been at the forefront of many conversations in higher education lately. During this webinar, Instructure's Vice President of Global Academic Strategy, Ryan Lufkin, will share front-row seat insights on how Instructure is incorporating AI into the platform and where the market is aligning. Ryan has been traveling the globe speaking at various forums, presenting on innovative approaches and the industry shift to AI-based learning objectives. 

 

As part of our goal during this presentation, Instructure wants to showcase a collaborative approach to learning, innovation, and the future of Higher Education. We welcome you to partake in our NERCOMP partnership-focused conversation and learn about the many existing tools and features offered to NERCOMP members.

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Register Here: You can become a member for free here.

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• SMARTeaching: "Demystifying AI for Teaching and Learning"

July 10, 2024, 10 - 11am EST​, Online

Presented by Suparna Sinha, Instructional Designer (TLT), and Rick Anderson, Director of Virtual Worlds (TLT)

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This first workshop in a two-part series will introduce you to the basics of generative AI as a tool for teaching and learning. We will explore the range of AI tools available like ChatGPT, Dall-E and Perplexity, and how they can be incorporated into assignments, rubrics, and assessments. We will also practice writing effective prompts to make the most of AI’s most useful features.​

Watch Here:

 

 

 

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• AI Tools to Amplify Your Research 

July 12, 2024, 11:00 am - 12:00pm EST, Online

Presented by Suparna Sinha, Instructional Designer (TLT) 

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Unlock the power of cutting-edge AI to accelerate your research. In this hands-on workshop, faculty will learn how to leverage state-of-art AI tools and models for literature review, and data analysis. Gain a competitive edge by integrating AI into your research workflow. In addition, learn how to improve the quality of student assignments by using AI to create rubrics.

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Register Here: After you register you will receive a confirmation email with meeting details.

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Fall 2024 Workshops:​

• ​Assignment Planning for the AI-Era

September 11, 2024, 2:30-3:50pm EST, Online

Presented by Suparna Sinha, Instructional Designer (TLT), and Rick Anderson, Director of Virtual Worlds (TLT)​​

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Are you interested in utilizing AI this semester?

Wondering how to align your course learning outcomes with possible usage of AI?

Join us for this SMARTeaching workshop to think through the impact of AI on your course design, especially your assignments. Suparna Sinha (OUES) and Rick Anderson (GRID) will provide examples of assignments enriched by AI and provide guidelines for determining which assignments are better off left AI-free. By the end of the workshop, you will have practical tools to help you update your course plans for the AI-era.​

Watch Here:  ​​​​​​​​​​​​​​​​​​​​

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• ​​Co-Design a Classroom Policy on Generative AI with Your Learners​​

October 2, 2024, 2:30 pm - 3:50 pm EST, Online​

Presenters: Eliza Blau, Instructional Design and Technology Specialist, SAS-NB Office of Undergraduate Education, Teaching and Learning

Pauline Carpenter, Instructional Design and Technology Specialist, SAS-NB Office of Undergraduate Education, Teaching and Learning

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Co-designing a classroom policy about text generative AI with students actively engages them in the learning process, and, critically, it ensures their voices and concerns are better represented, enhances transparency around academic integrity, and creates student buy-in to abide by the stated policy. In this workshop, attendees grappled with how we might handle the shifting AI technological landscape using design justice as a guiding framework. Infusing AI technologies in our active learning strategies can assist learning in equitable ways; however, we must continuously critically evaluate how approaches to text generating AI can disadvantage those traditionally excluded and historically minoritized in higher education (Addy, et. al., 2023). Participants explore and share their own instructional approaches to AI technologies, analyze equitable approaches to AI technologies using a design justice lens, and consider how we can co-design an AI classroom policy with learners that works better for everyone.​

Watch Here: ​​​​​​​​​​​​​​​​​​​​​​​

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At Your Own Pace Trainings & Resources:

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• Magna Publications Online Course Subscription Programs​​​​

  • • How Can I Use AI Tools to Better Manage My Time? (You will need to enter the password in order to view this week's program:  manage895)

• AI Pathway in OneHE (Ask Us about Getting Registered)

• American Association of Colleges and Universities (AAC&U)

  • A Student Guide to Navigating College in the Artificial Intelligence Era (Free Guide)

• ACUE Quick Study Courses, four (4) options (Ask Us about Getting Registered)

  • Leveraging AI to Develop Course Resources

  • Empowering Students to Use AI Responsibly

  • Teaching with AI-Inclusive and AI-Resistant Learning Experiences

  • Writing Effective AI Prompts

• OTEAR Workshop Archive (Canvas Site, any RU affiliate can add themselves as “student”)

  • See Recorded AI Training Sessions under “Reflection, Development, and Teaching Service” Heading

• Relevant MAGNA Seminars​

  • How Can AI Literacy Help Students Use AI Tools More Efficiently? (20min seminar)

  • How Can I Use AI to Create Multimedia Teaching Materials? (20min seminar)

  • How You Can Use AI to Maximize Time Management (1hr seminar)

    • For how to access Magna content for FREE using RU-N's membership, go HERE.​

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Rutgers' AI Policies, Working Groups, and Resources:

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• Rutgers AI Advisory Council Page

• Rutgers Libraries AI Research Guide

  • Includes content on prompt writing, AI and teaching, AI literacy, AI detection tools, and more!​

• Rutgers' Office of Information Technology: AI Hub

  • Includes relevant policies, guidance for AI use at Rutgers, and a list of AI-capable tools that Rutgers' instructors can access and use.​

• re: ​Purchasing AI Technology

  • If you are considering the purchase of an AI application for use at Rutgers, you must follow the same processes and risk assessments as for other software purchases. 

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Tools/Resources: Writing Prompts

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• AI for Education: GenAI Chatbot Prompt Library for Educators

• Google Labs: Say What You See (AI Image Prompting Game/Practice)

• From More Useful Things by Ethan & Lilach Mollick (Wharton, UPenn): Prompt Library

• How to Write Effective Prompts for GenAI Tools (Montana State University)

• Prompt Literacy for Academics (University of Michigan)

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Tools/Resources: Ethical and Educational Concerns around AI

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• Ethical Considerations for Using Generative AI (University of Alberta)

• Ethical AI for Teaching and Learning (Cornell University)

• AI and Environmental Changes (UPenn); see also “AI’s Climate Impact,” Scientific American (2023; access here via RU Libraries)

• Promoting Ethical AI Use Among Educators and Students (OneHE)

• Swindell, Greeley, Farag, & Verdone, "Against Artificial Education: Towards an Ethical Framework for Generative AI Use in Education" Online Learning (June 2024)

  • Note: Three of the four authors on this paper are Rutgers-affiliated.​ (Hello, Luke Greeley!)

• Sullivan, Kelly, and McLaughlan, "ChatGPT in Higher Education: Considerations for Academic Integrity and Student Learning" Journal of Applied Learning & Teaching (2024)

• UNESCO: Recommendation on the Ethics of Artificial Intelligence

• Joy Buolamwini on algorithmic bias: Unmasking AI (2023) and "Why AI Should Slow Down and Fix Things" (2024)

• See also, Crawford's Atlas of AI (under General Resources)

• To share with your students: "What to Know about Generative AI" from Rutgers - New Brunswick's
  Institute for Teaching, Innovation, & Inclusive Pedagogy

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Tools/Resources: Integrating or Resisting AI in Course Assignments

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• Productively Addressing Generative AI in the Classroom (Dominican University)

• Practical Responses to Generative AI (Montclair State University)

• ChatGPT in College Education: Promises & Limitations (K. Patricia Cross Academy)

  • Includes sample activities & strategies

• Generative AI for Teaching and Learning (MIT)​

• Learn with AI (University of Maine)

• Considerations for Integrating AI Within Teaching and Learning (U of Delaware)

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Tools/Resources to Share with Students

• What to Know About GenAI (developed by Tracie Addy, Director of TIIP; RU-NB)

  • Also from TIIP: Talking to Students about Generative AI (links to recorded event, 8.13.24)​

• Student Guide to Navigating College in the AI-Era (Elon & AACU)

 

General and/or Library Resources:

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• Bowen & Watson, Teaching with AI: A Practical Guide to a New Era of Human Learning (2024); esp good for strategies and considerations re: teaching with AI

• Cheney-Lippod, We Are Data: Algorithms and the Making of Our Digital Selves (2017); esp. good for understanding digital privacy concerns and algorithmic processes

• Crawford, Atlas of AI: Power, Politics, and the Planetary Costs of Artificial Intelligence (2021); esp. good for ethical/political considerations of AI​

• Jonathan M. Torres (Business Librarian, Dana Library @ RU-N) - Business & Data Research Strategies Youtube Channel

• The Sentient Syllabus Project

• EdSurge Podcast: Multiple previous episodes discussing higher ed + AI; check back frequently for expanding/updated coverage

• Critical AI - peer-reviewed journal edited by Rutgers' own Lauren Goodlad. 

• White House: Blueprint for an AI Bill of Rights

• US Department of Education Office of Educational Technology: Artificial Intelligence and the Future of Teaching and Learning