Overview
This AI Resource Hub covers AI use organized into Planning, Developing, and Evaluating sections to support the integration of artificial intelligence in online teaching and learning. The resources curated here help faculty developers, instructional designers, and academic leaders make informed decisions about incorporating AI in ways that enhance instruction, uphold academic integrity, and align with institutional goals.
How to Use this AI Page
This is a curated collection of AI-related resources shared by members of the TOPkit Community. The resources are organized according to the three-step TOPkit model: Planning, Developing, and Evaluating. Each entry includes a direct link and a brief description so you can quickly find the guidance most relevant to your needs. If you have a favorite AI resource to share, please contribute by emailing topkit@ucf.edu.
Featured Resource: AI Potluck Shared Document
The TOPkit Workshop 2024 – AI Potluck Shared Document, compiled by Rebecca McNulty, Charlotte Jones-Roberts, and Grace Kaletski-Maisel, serves as a collective knowledge base capturing best practices, institutional strategies, and key discussions on AI integration in higher education.
Planning
| Resource Name | Description |
| AI Quick Study Series Considerations for AI Tools in the Classroom (Columbia) | Quick study courses to explore AI context and terminology. Tips, questions, and ethical considerations for using AI in teaching. |
| Tips, Guidance, and Resources for Instructors (Iowa) | Practical advice and institutional strategies for AI integration. |
| AI: Considerations for Teaching and Learning (Ohio State) AI Guidance & FAQs (Harvard) Teaching and Learning in an AI World | Framework for evaluating AI use in instructional contexts. AI resources and FAQs AI resources to expand knowledge and practice. |
| UCF FCTL AI Resources | Local guidelines, articles, and policies related to AI use at UCF. |
| UCF Libraries AI Guide | Compilation of UCF resources, databases, and AI tools for education. |
| AI for Faculty (Cuesta College) | Guides on AI integration, example tools, and ethics considerations. |
| AI in Academia – Texas State Guiding Principles for Artificial Intelligence in Teaching and Learning (Laval University) | Teaching-focused AI resources, syllabus tips, and professional development. Exploring guiding principles for AI as a teaching subject and a tool for technological innovation |
| UCF AI & Faculty Development | Focuses on neutralizing AI tools, teaching ethics/integrity, and promoting responsible integration in instruction. |
| Rutgers AI Resources | Supports the Rutgers community in exploring AI opportunities and addressing related challenges. |
Developing
| Resource Name | Description |
| Generative AI Resources for Faculty (Pitt) | Overview of generative AI, use cases, risks, and sample assignments. |
| UF Artificial Intelligence in Teaching and Learning | Videos, guidance, and tools for instructors incorporating AI. |
| Tufts University AI Resources | AI teaching strategies, policy guidance, and syllabus language. |
| Central Michigan University AI Resources | A hub for instructional AI resources, sample syllabi, and tools. |
| AI Resources for UAB Faculty | Includes tutorials, policy guidance, and use-case examples. |
| AI in Higher Education Resource Hub (Ontario) | Repository of Canadian higher ed AI policies and teaching guides. |
| AI Resources for Educators (Marylia Reiter) | Step and strategies for incorporating generative AI into your courses |
| AI in Teaching (MIT) | Step and strategies for incorporating generative AI into your courses |
| AI in Education (University of Sydney) | Provides ways to use generative AI productively and responsibly. |
Evaluating
| Resource Name | Description |
| Resources for AI and Higher Ed Instruction (W&L) | Strategies for critically evaluating AI in teaching and learning. |
| Educause AI Overview | Institutional reports and evolving trends in AI use in education. |
| 10 Ways AI is Transforming Instructional Design (Educause) | Analysis of how AI is reshaping instructional design and pedagogy. |
| The Definitive Guide to AI in Higher Ed (MVCC) | Comprehensive guide with policy, pedagogy, and ethical AI use cases. |
| Utica Libraries AI Resources | Curated list of AI resources, teaching applications, and links. |
| Florida A.I. Learning Consortium (FALCON) | Open network for faculty/staff exploring AI in higher education; promotes discussion and shared initiatives. |
| Evaluating Generative AI Tools for Academic Research (NYU Libraries) | Support for critical approaches to GenAI tools for academic research. |
| AI Literacy: Evaluating AI Content (LSU Libraries) | Evaluating AI Content from LSU Libraries |
| Ethical AI for Teaching and Learning (Cornell) | Considerations for building literacy in Generative AI |
| AI and assessment in higher education | Advice for using, mitigating, and embracing AI in university assessment |
| The University Student’s Guide to Ethical AI Use (Mississippi Association of Educators) | Offers tips for ethical use, checklist to help students make responsible decisions with AI tools. |
| Ethical Academic Use of AI (Iowa State) | AI tutoring prompt, student prompt, and instructor guide |
Contribute to the TOPkit AI Resource Hub
The TOPkit AI Resource Hub is continuously evolving with advancements in AI technologies. Explore, contribute, and leverage these insights to shape the future of AI in higher education. Contribute to TOPkit AI resources by emailing topkit@ucf.edu.