A centralized collection of artificial intelligence resources for higher education, curated by the Instructional Technology Council AI Affinity Group.
Purpose
The ITC AI Affinity Group Resource Repository was created to provide Instructional Technology Council (ITC) members with a centralized collection of resources related to artificial intelligence in higher education.
The repository is intended to support institutional leaders, faculty, instructional designers, educational technologists, administrators, and staff as they explore the responsible, ethical, and effective use of AI in teaching, learning, research, and administrative operations.
Resources have been contributed by members of the ITC AI Affinity Group and are intended to serve as examples, references, and starting points for institutional discussions and implementation efforts.
Who Should Use This Repository?
This repository was developed for higher education professionals seeking practical resources, guidance, and examples related to artificial intelligence. Whether you are teaching courses, designing learning experiences, supporting students, developing institutional policies, leading strategic initiatives, or conducting research, these resources are intended to support informed decision-making and responsible AI implementation across the institution.
Website Disclaimer
The resources, tools, frameworks, policies, and examples included in this repository are provided for informational and educational purposes only. Inclusion in this repository does not constitute endorsement, recommendation, certification, or approval by the Instructional Technology Council (ITC), the ITC AI Affinity Group, contributing institutions, or individual contributors.
Artificial intelligence technologies evolve rapidly. Users are encouraged to independently evaluate all resources for accuracy, accessibility, privacy, security, compliance, licensing, and suitability for their specific institutional needs and local policies.
Descriptions, features, pricing, and availability of tools and services may change over time. Users should consult the provider’s official website for the most current information.
Institutional policies, frameworks, and examples are shared as reference materials and should not be interpreted as legal guidance. Institutions should consult appropriate legal, compliance, governance, and academic leadership resources when developing or implementing AI-related policies and practices.
The ITC AI Affinity Group welcomes the sharing of resources that support informed, ethical, and responsible uses of artificial intelligence in higher education.
On This Page
- AI Literacy Frameworks
- AI Policies, Governance & Institutional Guidance
- AI Tools for Teaching and Learning
- Academic Integrity, Assessment & Exam Security
- Open Professional Development & Conference Resources
Contribute a Resource
Know a tool, policy, framework, or professional development resource worth adding? AI resources evolve quickly, and this repository grows with community input.
Suggest a resource for the repositorySection 01AI Literacy Frameworks
As artificial intelligence becomes increasingly integrated into education, the workplace, and society, organizations around the world have developed frameworks to help learners, educators, and institutions build AI literacy. These frameworks provide guidance on the knowledge, skills, competencies, and ethical considerations needed to use AI responsibly and effectively. While each framework takes a slightly different approach, they share a common goal of helping individuals understand, evaluate, and engage with AI technologies in meaningful and informed ways.
Digital Education Council (DEC) AI Literacy Framework
Organization: Digital Education Council (DEC)
Description: A human-centered framework designed to help higher education institutions develop AI literacy competencies among students, faculty, and staff. The framework emphasizes responsible AI use, critical thinking, ethical decision-making, and discipline-specific applications of AI.
Focus: Higher education AI literacy and competency development.
Digital Promise AI Literacy Framework
Organization: Digital Promise
Description: A framework that promotes safe, equitable, and effective AI use by helping learners understand, evaluate, and apply AI technologies in educational and professional contexts.
Focus: Equitable and responsible AI literacy.
Stanford Teaching Commons AI Literacy Framework
Organization: Stanford University Teaching Commons
Description: A framework that helps educators and students engage thoughtfully with generative AI through functional, ethical, rhetorical, and pedagogical literacy. The framework encourages practical understanding and responsible application of AI in educational settings.
Focus: Teaching and learning with generative AI.
UNESCO AI Competency Framework for Students
Organization: UNESCO
Description: An international framework designed to help educational institutions prepare students for an AI-enabled world through ethical, human-centered, and globally relevant AI competencies.
Focus: Global AI competency development and responsible AI participation.
U.S. Department of Labor AI Literacy Framework
Organization: U.S. Department of Labor
Description: A workforce-oriented framework that supports AI awareness, digital literacy, responsible AI use, and workforce readiness in an increasingly AI-driven economy.
Focus: Workforce development and future-of-work competencies.
Section 02AI Policies, Governance & Institutional Guidance
As artificial intelligence becomes more integrated into higher education, institutions are developing policies, governance frameworks, and implementation guidance to support responsible, ethical, and effective use. The resources in this section provide examples of how colleges, universities, and educational systems are addressing AI-related opportunities and challenges through policy development, risk management, faculty guidance, privacy considerations, and institutional governance. These examples may serve as references for institutions exploring their own approaches to AI adoption and oversight.
AI in Academia: Policies, Guidelines, and Governance Map
Curated by: Joe Sabado at Campus AI Exchange
Description: Interactive map and directory highlighting colleges and universities that have developed artificial intelligence policies, guidelines, governance frameworks, and institutional resources. The resource enables users to explore how institutions across higher education are approaching AI governance, responsible use, policy development, and implementation.
Artificial Intelligence in the Classroom
Organization: Pikes Peak State College
Description: Faculty-facing AI resource hub containing classroom guidance, instructional resources, and examples for AI implementation in teaching and learning.
Institutional Policy / Guidelines
Curated by: Joe Sabado at Campus AI Exchange
Description: Comprehensive collection of institutional artificial intelligence policies, guidelines, syllabus statements, governance frameworks, faculty resources, research, and implementation examples from colleges and universities. The repository provides insight into how institutions are addressing AI governance, academic integrity, teaching and learning, data privacy, research, and responsible AI adoption across higher education.
Syllabi Policies for Gen AI Use
Crowdsourced and curated by: Lance Eaton, as described in his blog post
Description: Crowdsourced repository of syllabus statements, classroom policies, and instructional guidance related to student and faculty use of generative artificial intelligence tools in educational settings.
Pikes Peak State College Institutional AI Policy
Organization: Pikes Peak State College
Description: An institutional AI policy outlining expectations, governance structures, and responsible AI use within the college environment.
Southeastern Louisiana University Artificial Intelligence Policy
Organization: Southeastern Louisiana University
Description: Institutional policy outlining the responsible use of artificial intelligence across academic, research, and administrative settings. The policy addresses acceptable use, privacy and security considerations, intellectual property, governance, risk management, and guidelines for the ethical use of AI technologies within the university community.
SUNY Systemwide Artificial Intelligence Policy Framework
Organization: State University of New York (SUNY)
Description: A systemwide framework establishing responsible AI principles, governance expectations, risk-based oversight, training requirements, privacy protections, and institutional implementation guidance for SUNY institutions.
Truckee Meadows Community College AI Policies and Resources
Organization: Truckee Meadows Community College
Description: Institutional AI policies and statements that have evolved over the past three years, including TMCC’s AI Learning Hub and faculty-facing guidelines for the use of AI in teaching and learning.
Section 03AI Tools for Teaching and Learning
Artificial intelligence tools are increasingly being used to support teaching, learning, research, instructional design, content creation, communication, assessment, and productivity. The resources in this section highlight a variety of AI-powered tools that educators, instructional designers, administrators, and students may use to enhance educational and professional workflows. The tools are organized by primary function to help users identify resources that best meet their needs.
General AI Assistants
General AI assistants use large language models to support a wide range of tasks, including content creation, research, brainstorming, lesson planning, writing assistance, data analysis, and productivity. These tools often serve as entry points for educators and students exploring the practical applications of artificial intelligence.
BoodleBox
Description: Collaborative AI workspace that enables users to interact with multiple AI models simultaneously while supporting brainstorming, group projects, research, planning, and collaborative problem-solving.
ChatGPT
Description: AI assistant supporting content creation, brainstorming, instructional design, lesson planning, productivity, and research assistance.
Claude
Description: AI assistant known for long-document analysis, writing support, policy review, and educational content development.
Gemini
Description: Google AI assistant integrated with Google Workspace tools and educational workflows.
Microsoft Copilot
Description: Microsoft’s AI assistant integrated with Microsoft 365 applications, providing support for writing, research, data analysis, meeting summaries, and productivity workflows.
Perplexity
Description: AI-powered research and search platform that provides source citations and evidence-based responses.
Research, Writing & Knowledge Tools
AI-powered research, writing, and knowledge management tools help users discover information, analyze sources, improve writing, organize content, and generate insights from documents and datasets. These tools can support scholarly research, academic writing, critical thinking, and evidence-based decision-making.
Elicit
Description: AI research assistant that helps users discover, summarize, compare, and analyze scholarly literature and evidence-based research to support academic inquiry and informed decision-making.
Grammarly
Description: AI-powered writing assistant that uses natural language processing and generative AI to provide feedback on grammar, clarity, tone, citations, revision suggestions, and plagiarism detection features.
NotebookLM
Description: AI-powered research and knowledge management tool that allows users to upload source materials and generate summaries, study guides, questions, and insights based on their own documents.
Packback
Description: AI-supported discussion and writing platform designed to promote curiosity, critical thinking, academic engagement, and original student work through guided feedback and inquiry-based learning.
Teaching and Instructional Design
These tools are designed specifically to support educators in creating learning experiences, developing instructional materials, planning lessons, designing assessments, and personalizing learning activities. They help streamline instructional workflows while supporting effective teaching practices and student success.
Khanmigo
Description: AI-powered learning assistant from Khan Academy that supports teaching, tutoring, and personalized learning through guided practice, instructional support, and academic coaching.
MagicSchool AI
Description: AI platform designed specifically for educators, offering tools for lesson planning, differentiation, assessment development, communication, and administrative tasks that support teaching and learning.
TeacherMatic
Description: AI-powered instructional design assistant developed specifically for educators. Supports lesson planning, assessment creation, learning activities, rubrics, and instructional materials aligned with course objectives.
Content Creation, Design & Presentations
AI-powered content creation tools help users transform ideas into presentations, webpages, graphics, videos, and other educational materials. These platforms can support course development, communication, professional presentations, and the creation of engaging learning resources.
Canva Magic Media
Description: AI-powered image and design tools integrated into Canva’s design platform.
Gamma
Description: AI-assisted content creation platform that transforms prompts, outlines, and documents into visually engaging presentations, webpages, and instructional materials with minimal design effort.
InVideo AI
Description: AI-assisted video creation and editing platform.
Microsoft Designer
Description: AI-powered image generation and graphic design tool integrated with Microsoft products.
Vyond
Description: Animated video creation platform for educational and training content.
Video & Avatar Creation
AI-powered video and avatar creation tools enable users to generate instructional videos, presentations, training materials, and multimedia content with greater speed and efficiency. These platforms can support course development, student engagement, and communication through AI-assisted content creation.
HeyGen
Description: AI avatar and video generation platform useful for course introductions, instructional videos, and training materials.
Synthesia
Description: AI video creation platform featuring realistic avatars and multilingual narration.
Image Generation & Design
Image generation tools use artificial intelligence to create original visuals, illustrations, graphics, and design assets from text prompts or existing content. These platforms can support educational materials, presentations, marketing efforts, visual storytelling, and creative projects.
Adobe Firefly
Description: Adobe’s generative AI platform for image creation, editing, text effects, and creative content development.
ChatGPT (DALL·E)
Description: AI image generation integrated into ChatGPT. Users can create, edit, and refine images from text prompts as well as modify existing images.
Flux
Description: Advanced image generation model recognized for high-quality outputs and strong prompt adherence.
Ideogram
Description: AI image generation platform recognized for producing images with highly accurate text rendering.
Leonardo AI
Description: AI image generation platform known for customizable models, educational graphics, illustrations, and design assets.
Midjourney
Description: AI image generation platform known for highly detailed and artistic image creation.
Playground AI
Description: AI image generation and editing platform that provides an accessible environment for creating and refining visual content.
Stable Diffusion
Description: Open-source image generation model that supports extensive customization and local deployment.
AI Tool Resource Hubs, Directories & Repositories
As the AI landscape continues to evolve, resource hubs, directories, and repositories provide valuable ways to discover tools, explore emerging technologies, access open-source resources, and stay informed about developments in artificial intelligence. These resources serve as useful starting points for educators, researchers, and institutional leaders seeking to learn more about AI and its applications.
Futurepedia
Description: Comprehensive AI tool directory featuring reviews, categories, and emerging technologies.
GitHub (Open-Source)
Description: Software development and collaboration platform that hosts thousands of AI-related projects, open-source tools, educational resources, datasets, and code repositories. Frequently used by educators, researchers, and developers to access and contribute to AI innovations.
Hugging Face (Open-Source)
Description: Open-source AI community featuring models, datasets, applications, and educational resources.
Online Learning Consortium AI Resources
Description: Curated collection of AI-focused resources from the Online Learning Consortium, including articles, guides, webinars, case studies, and practical examples that support the thoughtful integration of artificial intelligence in teaching, learning, instructional design, and institutional practice.
Tennessee State Smart Center AI Resources
Description: Collection of AI resources, guidance, tools, educational materials, and professional development resources for educators and institutions exploring AI.
Tennessee State Smart Center AI Tools Directory
Description: Curated directory of AI tools and applications relevant to teaching, learning, and educational innovation.
There’s An AI For That
Description: Searchable directory featuring thousands of AI tools across numerous categories.
Section 04Academic Integrity, Assessment & Exam Security
The following resources represent a selection of commonly used academic integrity, AI detection, and online proctoring platforms used by colleges and universities across the United States. These tools support a variety of institutional needs, including assessment security, originality checking, identity verification, and academic integrity initiatives.
Copyleaks
Description: AI-powered plagiarism detection and content analysis platform that uses machine learning to identify similarities, detect potentially AI-generated content, and support academic integrity initiatives.
GPTZero
Description: AI detection platform that uses machine learning models to analyze writing patterns and identify content that may have been generated by artificial intelligence tools.
Honorlock
Description: AI-enhanced online proctoring platform that uses automated monitoring, browser activity analysis, identity verification, and exam security tools to support remote testing environments.
ProctorU (Meazure Learning)
Description: Online proctoring service that combines AI-assisted monitoring with live and recorded proctoring options to help maintain assessment security and verify student identity during remote exams.
Respondus LockDown Browser & Monitor
Description: Assessment security platform that uses a secure browser and AI-supported monitoring technologies to help prevent unauthorized access to resources during online exams.
Turnitin
Description: Academic integrity platform that uses AI and text-matching technologies to support plagiarism detection, feedback, grading workflows, and AI writing detection in educational settings.
Section 05Open Professional Development & Conference Resources
eLearning Consortium of Colorado (eLCC) 2026 Conference Resources
April 8–10, 2026
Description: Conference presentations, recordings, slides, and resource materials related to artificial intelligence and educational technology.
Online Learning Consortium Webinars
Description: The Online Learning Consortium (OLC) offers webinars and professional development resources that explore the evolving role of artificial intelligence, digital learning, instructional design, and educational technology in higher education. Sessions feature practical applications, emerging trends, research, and institutional perspectives on teaching and learning in an AI-enabled environment.
Acknowledgements
Thank you to the members of the ITC AI Affinity Group and colleagues who contributed resources, recommendations, examples, and technical expertise in support of this repository:
- Melany Budiman, Portland Community College
- Mary Ann Hughes Butts, Ed.D., College of Southern Nevada
- Ian Coronado, Lane Community College
- Reed Dickson, Next4Ed Consulting
- Lance Eaton, Higher Education Consultant and Researcher
- Cynthia Krutsinger, M.A., Pikes Peak State College
- Fred Lokken, Truckee Meadows Community College
- Becky Parton, Lincoln Land Community College
- Joe Sabado, Campus AI Exchange
- Dana Salkowsky, SUNY Orange
- Maia J. Smith, Ed.D., South Louisiana Community College
Compiled and curated by: Maia J. Smith, Ed.D., South Louisiana Community College