Artificial Intelligence Resources

Resources for AI-Aware Assessment

Red/Yellow/Green Light Models

  • University of Nebraska Kearney.: The R/Y/G model in this example is applied to the syllabus. Instructors pair each “light” with their level of acceptance of AI use in their course,
  • Aspen University: In this example, AI badges are assigned to show how AI can be used in assignments.

Use Cases and Assignment (re)Design

Campus Resources

AI Implication Grants Call for Proposals
Responsible Use of AI Tools at Hanover College

Information Literacy at Hanover College

Student Guide to AI Literacy (MLA)

Student Guide to Artificial Intelligence (AAC&U, OLC, Elon U.)

AI Assessment Scale

Websites & Articles of Interest

HC Library LibGuide on AI, Info Literacy

Sample Syllabus Policies for AI

40 AI Tools for the Classroom

Harvard Resources for Faculty

Prompt Engineering: 1-shot Prompting

AI in Higher Education Newsletter

Teaching Writing with (or without) AI

40 AI Tools for the Classroom

112 Practical Applications of Generative AI 2024

 

Chronicle of Higher Education AI Articles

Inside Higher Ed AI Articles

Are Your Students Ready for AI?

Academic Integrity Statements that Address Generative AI

Generative AI (Teaching Resources, Cornell University Center for Teaching Innovation

Prompting Guide 101 (Gemini for Google Workspace)

Ten Simple Rules to Leverage Large Language Models for Getting Grants

LLM Leaderboard - Comparison of GPT-4o, Llama 3, Mistral, Gemini and over 30 models

Higher ed experts agree that artificial intelligence (AI), chatbots, digital-assisted generated ideas are not going anywhere. Pretending it doesn't exist won't make AI go away! Invite students into the conversation and rely on these resources to help support your learning about and perhaps experimenting with AI. Here are some guiding ideas to frame how you approach teaching and learning with AI:

  1. Your learning objectives might help you guide when, how, and why AI is an acceptable tool (or not) for students.
  2. Discuss and model instructions, expectations, and ethical use of AI in your classroom. Clarify when and how AI-generated information might be cited, if used. Show examples of the limitations of AI and any consequences for ethical violations or academic dishonesty.
  3. Colleagues do not have to use AI similarly in their classrooms; however, students may feel confused if there are large variations in how faculty use or discuss AI within the same discipline. Open conversations with colleagues will be helpful. 

LinkedIn Learning Resources

The campus license gives you access to the complete LinkedIn Learning collection of resources and courses, and you can imagine that the content on AI is growing every day. You might start with something like the one-hour course, What Is Generative AI? (by the way, there are several different resources with that same title!) 

AI Syllabus Language Resources

There are a variety of resources available to assist you in crafting your own syllabus policy language, including: Duke University Artificial Intelligence Policies: Guidelines and ConsiderationsStanford University Creating Your Own Policy on AI; and Vanderbilt University Syllabus AI Policies. (These links are embedded in the updated syllabus template/guidelines available on the Academic Affairs website.) If you are interested in seeing specific examples of policy statements that faculty across the country have created, check out this collection.

Council of Independent Colleges AI Ready Network

Hanover College is again enrolled in the CIC's AI Ready program "All Campus Essentials", which provides opportunities for knowledge sharing, usage, and collaborative projects with other institutions. 

Here are the monthly themes for 2026-27. These live webinars are held on the first three Thursdays of each month at 2:00 pm Eastern. Each month includes three structured sessions that move from conversation to context to application. Watch your faculty email for dates/times and invitations to participate.

  • AI in the Flow of Work—The tools, automations, and everyday practices that are quietly transforming how higher ed professionals get things done
    • This month is for chief information officers, technology and IT staff, administrative and operations staff, department coordinators and managers, and human resources professionals.
  • AI as an Accessibility Tool—How AI bridges equity gaps and expands student and staff support 
    • This month is for disability services and ADA coordinators, student affairs professionals, enrollment staff, student support and success staff, and faculty.
  • Cheating, Authorship, and Academic Trust—Navigating AI in academic integrity and the evolving meaning of student work 
    • This month is for faculty, academic integrity officers, deans of students, registrars, and department chairs.
  • AI and Authentic Communications—Authentic communication in an age of AI-generated content, and what it means for enrollment, marketing, and institutional voice 
    • This month is for enrollment and admissions staff, marketing and communications teams, institutional advancement staff, and senior administrators.
  • Preparing Students for an AI-Powered Workforce—The knowledge, skills, and dispositions graduates need related to AI, and how to teach them
    • This month is for faculty, career services staff, academic advisors, curriculum and program directors, and provosts and academic VPs.
  • The Ethics of AI at Scale—Bias, environment, intellectual property, and the responsibilities that come with adoption 
    • This month is for faculty, institutional research and data officers, general counsel and compliance staff, technology and IT leaders, and senior administrators.
  • Vocation in an AI Era—What enduring purpose looks like for students, institutions, and the people who serve them 
    • This month is for faculty, career services professionals, chaplains and campus ministry staff, academic advisors, and student affairs staff.
  • AI Nudges, Bots, and Companionship—How AI companions, behavioral nudges, and campus-deployed bots are reshaping student engagement, advising, and the boundaries of in
    • This month is for student affairs and advising staff, enrollment professionals, chief information officers, technology and IT leaders, and department and division heads.

Talking with Students About the Ethics of Using AI

Here are a couple of videos to share with students to start a discussion about ethical use of AI from the University of Louisville Libraries

Video 1 (6 minutes). Getting the most out of AI requires students and faculty to be AI-literate.

Video 2 (4 minutes). AI users should use these three strategies to evaluate the quality of its responses.