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AI Resources

Teaching and Learning with AI

Virginia Tech is committed to helping faculty, instructors, and students use artificial intelligence thoughtfully and effectively. This page brings together resources for integrating AI into teaching and learning, from getting started to developing course policies to building deeper AI literacy.

These resources align with Virginia Tech's Responsible and Ethical AI Principles and the work of the AI for Teaching & Learning subgroup within IT Governance.

Getting Started

Orientation resources for faculty and instructors approaching AI in the classroom.

  • Considering Generative AI at Virginia Tech (TLOS) Guidance on making decisions about using generative AI in courses, with recommendations covering familiarity, policy, academic integrity, assessment redesign, and links to university-approved tools.
  • Teaching with AI at Virginia Tech Strategies and resources from a Summer 2024 Faculty Learning Community, including assignment examples, prompt engineering guides, and AI tool evaluations.
  • Introduction to AI Literacy Guidelines (PDF) Framework covering five competency areas: understanding AI and data, critical thinking and judgment, ethical and responsible use, human-centricity and creativity, and domain expertise.
  • Responsible and Ethical AI Framework for Virginia Tech (PDF) The full framework report establishing Virginia Tech's approach to responsible AI adoption across teaching, research, and operations.

Course Policies and Academic Integrity

Guidance for setting clear expectations with students about AI use in coursework.

  • AI Policies for Course Syllabi (Office of Undergraduate Academic Integrity) Three template policy options for syllabi: AI use permitted with disclosure, AI use prohibited, or AI use allowed only for designated assignments. Faculty can tailor these to fit their courses.
  • Virginia Cooperative Extension Guidance for Use of Generative AI (VCE-1213NP) An organizational model for responsible AI use that emphasizes accuracy, transparency, mission alignment, and disclosure of AI assistance in public-facing materials.

Professional Development

Self-paced courses and training opportunities for building AI competency.

Tools for the Classroom

AI tools available to Virginia Tech faculty, instructors, and students. See the full AI Tools page for complete details and access instructions.

  • AI-Enabled Features in Existing Platforms — Several tools already in use across campus include AI capabilities: Gradescope, iClicker, Kaltura, and Zoom AI Companion. See ARC documentation for details.

Research and Evidence

Studies and findings informing the use of AI in higher education.

Share Your Feedback

Have a question or suggestion about AI in teaching and learning at Virginia Tech? We want to hear from you.