Broad, accessible entry points for anyone in higher ed (novices to intermediate users) seeking foundational AI understanding and Gemini applications across roles. Permanent and open to all.
Agentic AI (Antioch IT Doc): Refers to artificial intelligence systems that exhibit agency—the ability to act autonomously, set sub-goals, make decisions, plan multi-step actions, adapt to changing environments, use tools, maintain memory across interactions, and pursue objectives with minimal human intervention.
A Basic Guide to Generative AI: A Reference for Common AI Terms, Concerns, and Models (The Council of Independent Colleges): Sarah Gibson’s A Basic Guide to Generative AI (August 2026) is a higher-ed primer that explains how generative models predict patterns rather than understand meaning, then walks through key terms, bot-versus-agent distinctions, risks (bias, privacy, detectors, copyright), and a snapshot of current models and tools.
The Eight Dimensions of AI Literacies (EDUCAUSE): The Eight Dimensions of AI Literacies form a flexible, interconnected taxonomy developed by educators including Drs. Angela Gunder, Josh Herron, and Nicole Weber (with contributions from others), in collaboration with Opened Culture.
From Prompt to Practice: A Framework for Transparent GenAI Use in Higher Education (EDUCAUSE Review): As generative artificial intelligence reshapes instructional workflows at colleges and universities, a four-level transparency framework can help education developers calibrate documentation and disclosure practices to support ethical responsibility and maintain student trust. https://er.educause.edu/articles/2026/3/from-prompt-to-practice-a-framework-for-transparent-genai-use-in-higher-education
Gemini for Education (Google for Education): Universal starting point—free tools for personalized learning, idea generation, and responsible AI (with guardrails for all ages). Covers basics for educators, staff, and students in one place. https://edu.google.com/intl/ALL_us/ai/gemini-for-education/
Generative AI for Educators with Gemini (Grow with Google): Open to general users; free course on AI basics, opportunities/limits, and Gemini/NotebookLM for everyday tasks. Earn a shareable certificate. https://grow.google/ai-for-educators/
Understanding AI Literacy (Stanford Teaching Commons): Framework for everyday AI navigation (understanding, using, evaluating, creating) with practical examples. Ideal bridge from the provided definition to hands-on Gemini exploration. https://teachingcommons.stanford.edu/teaching-guides/artificial-intelligence-teaching-guide/understanding-ai-literacy
A Practical SAMR + AI Framework for Instructional Design (PDF) (EDUCAUSE Review): The SAMR + AI Matrix is a structured learning design tool that aligns the SAMR Model with Bloom's Taxonomy, mapping levels of technological use to cognitive demand to guide instructors in determining how artificial intelligence (AI) could impact student work. This matrix is operationalized through a five-step framework that helps instructors deliberately design for the presence of AI in learning experiences.
AI-Powered Pedagogy: A Guide to Evidence-Based Teaching Tools (PDF) (EDUCAUSE Review): Accessible artificial intelligence (Al) tools can help educators streamline course development, integrate evidence-based teaching strategies, and optimize workflows for more efficient, individualized instruction.
Generative AI for Educators with Gemini (Grow with Google): A free, self-paced online course designed by Google AI experts. It covers foundational AI concepts, responsible use, limitations, and hands-on applications with Gemini and NotebookLM to save time on tasks like drafting materials or personalizing lessons. Earn a certificate for professional development. Perfect for novices building confidence and savvy users exploring creative classroom integration. https://grow.google/ai-for-educators/
Gemini for Education (Google for Education): Official overview of free Gemini access (via Google for Education Fundamentals signup—no cost even if using other suites). Includes tools for lesson planning, differentiated content, quizzes, rubrics, and brainstorming ideas grounded in learning science (LearnLM). Features like practice SATs and Deep Research are built-in and free. Ideal for aligning AI with standards and objectives. https://edu.google.com/intl/ALL_us/ai/gemini-for-education/
Teach with Generative AI (Harvard University): Practical resources including a System Prompt Library, faculty video examples (e.g., prompt iteration, ethics debates, simulations, and personalized feedback), and real-world experiments in courses. Covers visual aids, coding support, and interrogating AI hallucinations. Suited for faculty experimenting with AI across disciplines. https://www.harvard.edu/ai/teaching-resources/
This Is How Kids Should Be Learning with AI (A TED talk video from Priya Lakhani): She explains why being challenged is essential for making knowledge stick — and how AI can be designed to strengthen (not weaken) learning, teaching and thinking.
Understanding AI Literacy (Stanford Teaching Commons): A clear framework dividing AI skills into four domains (understanding, using, evaluating, creating) with examples and ties to teacher competency frameworks. Includes resources for thoughtful navigation of generative AI opportunities and challenges. Great entry point for building foundational literacy before deeper Gemini use. https://teachingcommons.stanford.edu/teaching-guides/artificial-intelligence-teaching-guide/understanding-ai-literacy
Artificial Intelligence (AI) Guidance (U.S. Department of Education): Official federal overview with use-case inventory across higher ed functions (e.g., financial aid, postsecondary programs). Helps shape campus policy on ethical AI integration. https://www.ed.gov/about/ed-overview/artificial-intelligence-ai-guidance
Gemini for Education (Google for Education): Same core page as faculty but highlights admin controls, usage reporting, and secure/ethical rollout for staff. Free standalone app signup; covers how AI automates administrative tasks while maintaining privacy. https://edu.google.com/intl/ALL_us/ai/gemini-for-education/
Listening to Skepticism: What Faculty Concerns About Generative AI Reveal (EDUCAUSE Review): The article argues that institutions should first listen to faculty skepticism about generative AI (GenAI) in teaching—rather than pushing rapid adoption—before providing targeted support. It draws from small-scale listening sessions (15-minute interviews) with 16 faculty members at Augsburg University (balanced between natural sciences and humanities/social sciences) in fall 2025. Hesitation was often conditional (open to limited/low-stakes use) rather than absolute. Many faculty already used AI personally but remained cautious about student applications.
Quickstart Guide to Gemini and NotebookLM for Education (Google Workspace Help): Free admin-focused guide covering setup, free access (included in all Google Workspace for Education editions), data protection (FERPA/COPPA compliant), and tools like usage visibility via Vault, chat history controls, and group-based access management. Includes email templates, one-pagers with training links, and responsible AI lesson plans. Essential for rolling out Gemini securely across campus. https://knowledge.workspace.google.com/admin/getting-started/editions/quickstart-guide-to-gemini-and-notebooklm-for-education
The Definitive Guide to AI in Higher Education (Mohawk Valley Community College): Comprehensive free PDF for institutional leaders on AI fundamentals, types impacting higher ed, adoption strategies, vendor checklists, and building an AI culture. Addresses efficiency, student/staff attraction, and policy—practical for administrators balancing innovation with governance. https://www2.mvcc.edu/shn/ai/pdf/guide-to-ai-in-higher-ed.pdf
The Impact of AI on Work in Higher Education (EDUCAUSE): Reports on an effort conducted in partnership with AIR, NACUBO, and CUPA-HR, to summarize work-related institutional AI strategies, policies, and guidelines; the risks, opportunities, and challenges associated with using AI for work in higher education; and specific examples of how staff and faculty use—and want to use—AI for work. Video summary: https://www.youtube.com/watch?v=9Yya_uX9bgc&t=23s The report: https://www.educause.edu/research/2026/the-impact-of-ai-on-work-in-higher-education (login to EDUCAUSE site required, Antioch is an EDUCAUSE member, and access is free).
These center on using Gemini ethically for studying, homework, exam prep, writing, and career skills. Designed for beginners (simple prompts) up to advanced multimodal features. Note that some academic departments/programs at Antioch have strict policies regarding generative AI use for academic work.
Gemini for Students (Google): Dedicated page showcasing free core Gemini features (homework help via image uploads, personalized quizzes/flashcards/study guides from notes, Deep Research reports, Audio Overviews, Gemini Live for brainstorming/rehearsing). Includes examples for math, lectures, writing, and career prep (resumes, interviews). 1-month Pro trial available for extra power. https://gemini.google/students/
AI for Students: Free Study, Writing, & Career Tools & Training (Grow with Google): Free expert-led training on Gemini and NotebookLM for exams, note organization, writing feedback, and job search (e.g., interview practice, resume tips). Includes downloadable prompting guide and access to the Google AI Professional Certificate. Turn ideas into videos or get visual explanations instantly. https://grow.google/students
Get Started with Google AI in Higher Education (Google Skillshop): Free no-cost course path specifically for higher ed students on responsible Gemini use, prompting, and practical applications. Builds from basics to advanced productivity. https://skillshop.exceedlms.com/student/path/1470990-get-started-with-google-ai-in-higher-education