Note: This AI repository is continually in need of new material. As you come across resources, news stories or other interesting essays/podcasts/articles, please pass them along to Rachel Rigolino: rigolinr@newpaltz.edu.
How are instructors using AI in 2025? |
Harvard Business Publishing: How Generative AI Is Reshaping Education A useful booklet, with short, informational articles. Beginning here is a good choice.
Seeing practical applications of AI being used by higher education instructors is always eye-opening. At first glance, this 2025 video from UC Santa Cruz may seem TDL, but you can fast-forward if you like. The demonstrations are very clear.
More Stories about AI Use in the Classroom: A Collection of Case Studies and Reflections by Faculty at The Ohio State
Ed.’s note: Andy Stapleton does monetize his videos (I mean, of course), but he is not a shill (as far as I can tell) for one particular product. Here, he walks his viewers through some really neat tools, mostly for research:
ChatGPT Glossary: 53 AI Terms Everyone Should Know
This glossary provides clear definitions of 53 key AI terms—from “artificial general intelligence (AGI)” to “zero-shot learning.” This is a great, foundational resource.
The Instructor’s AI Cheatsheet: A Basic Overview of These Well-Known Tools: ChatGPT, Gemini, Copilot, and NotebookLM
The Fundamental Divide: Choosing Your AI’s Core Strength
The most critical choice is matching your task to the AI’s design. Is your goal to create something new (divergent) or analyze something that already exists (convergent)?
Convergent Tasks & Grounded Specialists Vs. Generative Generalists
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Core Capabilities:
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AI Assistants: At-a-Glance Comparison
ChatGPT Strengths: Advanced, human-like conversational ability; Multimodal: Accepts text, voice, and image uploads; generates images; Live web browsing and a “Deep Research” feature for comprehensive, cited answers; Custom GPTs: Create specialized versions for recurring tasks.
Typical Applications for Instructors:
- Content: Draft syllabi, lesson plans, and reading passages.
- Assessment: Generate quizzes, test banks, and grading rubrics.
- Feedback: Provide a “first pass” review of student writing for grammar and structure.
- Admin: Draft emails, progress reports, and meeting agendas.
Gemini Strengths: Deep integration with Google products: Works directly within Docs, Gmail, Slides, Sheets, and Classroom; Education-specific tools: “Gemini in Classroom” offers no-cost features for all Education editions
Typical Applications for Instructors:
- Content: Can perform most of the tasks listed above for ChatGPT.
- Admin: Summarize email threads in Gmail; draft grant proposals in Docs.
- Teaching: Differentiate reading levels in Classroom; generate images in Slides; create quizzes in Forms
- Collaboration: Co-author research papers and analyze files stored in Google Drive
Co-Pilot Strengths: (Note:We have a version available through our campus Microsoft 365 license.): Deep M365 integration: Reasons over your organization’s data in emails, files, and chats; Enterprise-grade data protection by default for institutional users; Meeting efficiency: Summarizes Teams meetings, identifies action items, and catches you up.
Typical Applications for Instructors:
- Content: Can perform most of the tasks listed above for ChatGPT.
- Admin: Manage budgets in Excel; draft policies in Word; analyze institutional data.
- Content: Create presentations in PowerPoint from a Word doc; draft quizzes and rubrics.
- Research: Assist with literature analysis and summarize academic papers.
Google NotebookLM Strengths: The Research Specialist: Source-Grounded: AI is grounded only in the documents you upload, virtually eliminating hallucinations; AI Study Aids: Automatically generates summaries, FAQs, timelines, and study guides from your sources; Inline Citations: Every answer links directly to the specific passage in your source document; Audio Overviews: Creates a downloadable podcast-style conversation about your materials.
Typical Applications for Instructors:
- Research: Upload dozens of research papers and ask it to compare methodologies or synthesize arguments.
- Student Support: Students can upload lecture notes and readings to create a personalized AI tutor.
- Pedagogy: Design activities where students analyze primary source documents you’ve uploaded.
- Course Design: Analyze your own syllabus and readings to check for thematic alignment.
Which AI for Which Academic Task? A Final Look
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Course & Content Creation
Research & Literature Synthesis
Admin & Workflow Integration
Departmental Strategy & Ops
PS: Ethan Mollick’s Take on Some Tools (June 2025 Update): For a detailed written description, go here: Using AI Now: A Quick Guide
Generative AI: Higher Ed Resources: For Faculty & Students |
SUNY Resources:
Important: Our own OIT Blog, curated by Rich McElrath is a great source of information about the tools supported by our campus: OIT Ed Tech Blog
SUNY Digital Innovation and Academic Services
SUNY Document: SUNY FACT2 Guide to Optimizing AI in Higher Education
Great (Free) Resources from Harvard University
**New: The AI Pedagogy Project: Can be used with students**
Looking for a step-by-step introduction to AI? This guide is designed to help you understand what AI is, how it works, and what it can and cannot do. In addition, the AI Pedgagy Project includes curated assignments incorporate AI tools, engage with current debates, and invite student reflection. They are open access and free to use in any classroom.
You can find the Harvard AI Pedagogy Project Here
AI Should Push, Not Replace, Students’ Thinking _ Harvard Business Publishing Education
**New Fall 2025** 5 Sample Classroom AI Policies The article highlights how individual faculty AI policies often diverge from broader institutional guidelines, reflecting different philosophies about pedagogy and ethics. Haya Ajjan (Elon) actively encourages AI use with safeguards like usage logs and reflection. Nick Potkalitsky (Ohio) grants students full agency in an AI-focused course, finding they use tools cautiously when trusted. Yvette Mucharraz y Cano (IPADE) allows guided experimentation while enforcing ethical boundaries and protecting intellectual property. Christopher McVey (BU) permits up to 50% AI-written text with attribution, using this to foster discussion about originality and voice. Oguz Acar (King’s College London) integrates AI through his PAIR framework, tailoring openness based on course level and learning goals.
**New Spring 2025** Harvard Business School Webinars (you may need to create a free HBS educator account to access some of these resources)
- ChatGPT Strategies You Can Implement Today to Enhance Your Class Sessions
- Fostering Student Engagement with Gen AI
**New Late 2024-2025** Harvard Business School Resources
Harvard Business School: How GenAI Is Reshaping Education
TOC for PDF above:
- 4 Simple Ways to Integrate AI into Your Class
- What ChatGPT’s Voice and Image Capabilities Mean for Educators
- Stop Focusing on Plagiarism, Even Though ChatGPT Is Here
- What Custome GPTs Unlock for Higher Ed
**New SP2025**The TrAIT Framework (Transparency in AI and Teaching) provides educators with a structured approach to integrate AI in the classroom by clearly defining expectations, teaching how AI works, modeling responsible use, and encouraging student reflection. Developed by Dr. Lane Freeman, the framework aims to help students engage with AI ethically and effectively, preparing them for an AI-driven future while promoting academic integrity.
Using Generative AI at Barnard This is a link to their much-discussed AI pyramid.
Resources for Students |
**New: Peer and AI Review + Reflection Packet** UC Davis has created a packet with student AI literacy readings, discussion questions, and other instructor resources. This is a fantastic resource for instructors who want to teach students about the ethical use of AI tools.
**New: Excellent Exercise to Use with Students**: AI Images Are Already More Realistic Than You Think Furze discusses the creation of a web game called “Real or Fake?” where players identify AI-generated images from real ones, highlighting that while AI image realism has significantly improved. (Leon Furze; Aug. 24, 2024)
**New 2025** Elon University and AAC&U AI guide for students: Student-Guide-to-AI-2025
**New 2025** 40 AI Terms Explained: Text Version of 40 AI Terms Explained and 40 AI Terms PDF of Chart Below
A warning about blindly (without reflection) conducting research and summarizing research with LLMs: What You See Is All There Is by cognitive psychologist Brian Stone
How to Cheat on Your Final Paper: Assigning AI for Student Writing Want to encourage your students to think about how generative AI might be useful as well as the ethical implications of using generative AI when writing a paper? This paper shares an assignment that achieved these goals. Take a look.
LLMs Explained: And helpful for faculty too!
MLA & WAC AI Resources and White Papers |
Resources for Teaching with AI This page on the MLA website contains links to past webinars.
MLA-CCCC Joint Taskforce on Writing and AI This page contains links to the various white papers issued by MLA.
WAC Clearinghouse: AI Text Generators and Teaching Writing: Starting Points for Inquiry
**Important OER Resource: TextGenEd: Teaching with Text Generation Technologies, Edited by Vee et al. WAC Clearing House** TextGenEd collects early experiments in pedagogy with generative text technology, including but not limited to AI. The fully open access and peer-reviewed collection features 34 undergraduate-level assignments to support students’ AI literacy, rhetorical and ethical engagements. (Jan. 2023)
SUNY New Paltz Repository of Current Articles |
AI-Subject Articles, Webinars, and Podcasts
Resources by Governmental, Non-Profit, & Corporate Groups |
UNESCO Statement and Resources: The rapid rise in artificial intelligence (AI) has created many opportunities globally. However, these rapid changes also raise profound ethical concerns.
UNESCO: Artificial Intelligence
**Extensive (and Continually Updated)** Website with Resources: AI Transformers like ChatGPT Are Here, So What Next?Times Higher Education
**New: Feb. 2025**:
The 2025 EDUCAUSE AI Landscape Studywas released in February 2025. This document summarizes higher education’s “sentiments and experiences related to strategy and leadership, policies and guidelines, use case, the higher education workforce, and the institutional digital divide.”
**New 2025**Digital Education Council: 10 Dimension AI Readiness Framework This document outlines a structured, comprehensive approach for higher education institutions to effectively integrate artificial intelligence. It identifies ten key areas of focus—including strategic alignment, governance, AI literacy, accessibility, and curriculum development—that institutions should assess. This framework aims to guide institutions in systematically advancing their AI readiness from basic implementation to mature, strategic adoption.
**New SP2025** A very forward-looking short paper, extending beyond the impact of generative AI to the potential of analytical AI as well: AI Integration Blueprint: Transforming Higher Education for the Age of Intelligence
**New SP2025** Talking about Generative AI: A Guide for Educators.A free booklet written by Sidney I. Dobrin (English Dept., University of Florida) that provides a great overview of AI in higher ed. Dr. Dorbrin considers these questions:
- What impact has AI had on post-secondary institutions?
- Can AI be integrated into higher education in productive and ethical ways?
- How will teaching and assessment change?
- What are the implications of AI for professional, institutional, and civic communication?
The Future of Writing: Harness AI While Preserving Student Learning(Grammarly) The PDF provides several recommendations for educators on how to integrate generative AI into writing instruction:
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- Focus on the Writing Process: Emphasize the importance of process, composition, and critical reflection over simply producing text.
- Teach Collaboration with AI: Guide students to use AI tools as partners to enhance their writing, not just as shortcuts to complete assignments.
- Develop Critical Thinking: Ensure students understand when and how to use AI effectively while maintaining their own critical and creative skills.
- Adopt Transparent Practices: Set clear guidelines for AI usage and maintain transparency in how these tools are integrated into the curriculum.
- Promote Ethical Use: Teach students the ethical implications of using AI and ensure they understand the importance of maintaining academic integrity.
Distributed AI Research Institute DAIR is “an interdisciplinary and globally distributed AI research institute rooted in the belief that AI is not inevitable, its harms are preventable, and when its production and deployment include diverse perspectives and deliberate processes it can be beneficial. [Their] research reflects [their] lived experiences and centers [their] communities.”
Russell Group Principles on the Use of Generative AI Tools in Education The Russell Group is comprised of 24 public research universities in the UK, with its main office in Cambridge. This statement, from 2023, remains relevant.
Teaching with AI: Open AI This FAQ, which contains some helpful documents, is regularly updated by OpenAI, the developers of ChatGPT.
Time for Class 2025: Tyton Partners Tyton is a firm specializing in what is called the “Global Knowledge Sector.” They offer investment banking and strategy consulting services. Since 2022, they have released some interesting papers/studies on AI’s impact on higher education.
University Professional and Continuing Education Assn: Resource Site
The AI Education Project Although the AI Education Project focused on K-12, it has some interesting resources.
AI for Education This website for an educational consulting group contains wonderful resources, including a free course you can sign up for that introduces instructors to AI in the classroom. You can also sign up for the newsletter.
Great Resources from Ed Tech Bloggers |
**Summer 2025**: More Leon Furze: Generative AI and Assessment
Key Takeaways:
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The AI Assessment Scale is a design tool, not a security measure – You can’t just tell students what AI level to use; you must design assessments where AI use (or non-use) naturally serves the learning objectives
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Start with learning goals, not AI policies – Always begin by asking “What knowledge and skills am I trying to assess?” before determining where AI fits in the assessment process
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Faculty-level implementation works better than institutional mandates – AI means different things to math teachers vs. English teachers; discipline-specific approaches are more effective than one-size-fits-all policies
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Students need foundational AI literacy before using the scale effectively – This includes understanding AI limitations, verification skills, ethics, and bias awareness – not just how to write prompts
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Educator expertise is essential for quality AI integration – Without domain knowledge and understanding of AI capabilities, it’s difficult to design meaningful AI-enhanced assessments or catch AI errors
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Transparency and trust between students and educators enables better outcomes – When students can honestly communicate about their AI use, it leads to improved assessment design and learning opportunities
Creating Use Cases for Faculty and Staff: Lance Eaton’s slide deck for faculty/staff training. Very helpful, as is this document with Eaton’s Sample Prompts
Practical Strategies for ChatGPT in Education Leon Furze has a great collection of resources here. Take a look.
Thinking about creating a customized AI GPT? Take a look at this brief article outlining what the author learned about the process: What I learned from Creating an AI of Myself
Wharton Interactive Crash Course: Practical AI for Instructors & Students: Part 1 of a 5-Part Series (Find the Rest on YouTube):
AI and Assessment: Some Tips for Setting Guardrails for Students and Re-Thinking Assessment
**Excellent Resource**: Rethinking Assessment for Generative Artificial Intelligence: 2025 Booklet Leon Furze advocates for placing an emphasis on moving away from high-stakes, written assessments such as essays and tests, which are susceptible to generative AI “cheating.” He brings UNESCO guidelines into his comprehensive guide. (Leon Furze; Summer 2025; updated)
Teaching AI Ethics A great companion to Furze’s resources above.
Teaching Resources Created/Hosted by Other Campuses/Entities . . . Including Prompt Engineering Guides |
AI for All An excellent site created by The Metropolitan State University of Denver
Here is another site–this one at MIT—that seems to be continually updated: AI and Open Education Initiative
University of Florida: AI Resource CenterEd’s Rec. Newly updated and featured by The Chronicle of Higher Education
- Learning With AI initiative from the University of Maine
- AI: Considerations for Teaching and Learning from Ohio State
- Lib Guide to AI for Instructors by the University of Arizona
- Montclair State
- University of Pittsburgh
- University of Calgary
- FAQ: ChatGPT in the Classroom: (Arizona State)
- Washington University in St. Louis
- Bloom’s Taxonomy Revised with AI Included
Prompt Engineering Guides
ChatGPT’s List of Top 100 Prompts Used by College Students
Lance Eaton’s Comprehensive Prompt Library A very useful resource!
A great Prompt Engineering Cheatsheet for Higher Ed 2025 / You can access the PDF here: Prompt Engineering Cheatsheet 2025
Take a look at AI for Education’s GenAI Chatbot Prompt Library for Educators
A Fairly Detailed (but Simple) AI Prompt Cookbook
The 30‑Second Prompt Upgrade: Great Quick Advice
And the newest (2025) insights from Sovorel (Brent Anders):
How can generative AI make my life easier? |
AI-Powered Presentation Magic “How can I use AI to create slides?” This webinar covers the topic. (AI for Education; June 2024):
3 Levels of Lesson Planning A great resource from Leon Furze about how you can leverage GenAI to create lessons. See the list below. (Leon Furze; July 1, 2024)
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- Level 1: Simple text-only prompts, which include basic details about the required lesson & content.
- Level 2: Prompts plus additional context: copy/paste, upload a doc, PDF image or other data. The data could include you own resources or curriculum documentation, rubrics, standards, etc.
- Level 3: Custom chatbots built with a knowledge base or custom dataset./ OpenAI’s Custom GPTs, Claude’s Projects, and custom chatbots from Poe and other platforms.
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How Generative AI Tools Assist with Lesson Planning Pull quote from a K-12 instructor: “My colleagues and I utilize MagicSchool’s suggested 80/20 approach of using artificial intelligence to help with designing a lesson. AI does the bulk of the initial work, which we review for bias and accuracy. Then we step in and take care of the rest, which amounts to about 20 percent of the task.” This article’s main focus is on MagicSchool.ai. (Edutopia; May 22, 2024)
Six Ways to Use ChatGPT to Save Time (for Educators)
Generative AI Can Supercharge Your Academic Research Harvard Business Publishing
Lance Eaton’s Comprehensive List of Talks and Resources for 2024 This list contains links to talks, podcasts, and writings by Lance Eaton. It is broken down int0 the following areas: Lightening Talks, Talks and Keynotes with links to slide decks, Workshops, with links to resources, Podcasts & Panel Presentations. (AI + Education = Simplified; July 1, 2024)
LinkedIn Learning AI Courses (Offered through SUNY New Paltz subscription to LinkedIn Learning) |
LinkedIn Learning has several AI course offerings. SUNY New Paltz faculty and staff have free access to these courses through: my.newpaltz.edu. Take a look. Also, here is a new page that provides links to various LinkedIn Learning courses: A New Framework for AI Upskilling
Great Blogs & Podcasts by AI/Ed Tech Experts |
Online Groups: GREAT! |
Facebook Group: Higher Ed Discussions of AI Writing
Facebook Group: ChatGPT and Other AI in the Higher Ed Classroom and Workspace
And for those of us using ChatGPT: ChatGPT for Education
