Faculty/Staff Resources for AI
Artificial Intelligence (AI) is rapidly transforming higher education, impacting everything from the classroom to administrative operations. While AI offers significant opportunities across teaching, research, and administration, UNG affirms that human agency must remain central. AI tools are intended to augment—not replace—the judgment, creativity, and output of students, faculty, and staff.
We strive to provide resources for responsible, ethical, and effective integration of AI at the university.
Training
Artificial Intelligence Academy
Navigate the future of higher ed with CTLL's Artificial Intelligence Academy. Gain practical strategies to integrate AI into your course design, balance ethics and academic integrity, and walk away with a ready-to-implement action plan for student success.
CTLL AI Workshops
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AI Series: Moving Beyond the Five-Paragraph Essay
—Led by Wenxin Guo and Mohan Menon
Restructuring assignments toward multi-modal outputs (podcasts, video pitches, interactive portfolios) or scaffolding the writing process (grading the brainstorm, the outline, the AI-assisted draft, and the final reflection). -
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Three Simple Ways to Start Using AI This Semester
—Led by Jane Morris
This session introduces faculty to three simple, practical ways to begin using artificial intelligence (AI) in their courses right away. It focuses on low-effort strategies to support teaching, enhance student engagement, and explore AI tools with confidence.
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Why Bother? Designing, Writing, and Assessing Online Discussions: Strategies for Combatting AI-Driven Futility
—Led by the Writing Across the Curriculum Network
In this session, members of the WAC network present strategies for designing, scaffolding, and assessing online discussions to support student learning. We focus on strategies for fostering meaningful interactions and expectations for instructor participation. -
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AI Series: Redesign One Assignment
—Led by Chuck Robertson
In this session we will use Stanford's Practical Examples, Mollick's Seven Ways, and Miller's What Not To Do to explore effective approaches for integrating AI into teaching and learning. The goal is for every faculty member to leave with at least one revised assignment and a clear AI-use statement they can implement in their course.
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Leveraging AI: Practical Uses for Departmental Leadership
—Led by Mohan Menon
Explore practical ways artificial intelligence can support the work of department chairs and academic leaders. This session highlights tools and strategies for improving efficiency, communication, and administrative workflows.
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Teach Smarter with MagicSchool AI: Practical Tools for Faculty Success
—Led by Jennifer Sears and Kellie Whelan-Kim
Discover how MagicSchool AI can help streamline course preparation and enhance teaching effectiveness. In this hands-on session, faculty will explore practical tools for creating instructional materials, developing assessments, generating engaging learning activities, and improving course communication. Participants will leave with ready-to-use strategies for integrating AI into their workflow while promoting responsible and effective use of AI in higher education.
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AI Series: From Chatbots to Scientific Discovery
—Led by Yong Wei
This talk introduces the basic ideas behind modern AI, from large language models such as ChatGPT to AI systems that can analyze images, molecules, and materials. Using accessible examples, I will explain how AI learns patterns from data and how similar techniques are helping scientists accelerate discovery in areas such as materials design, and biomedical research.
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Why Bother? A Rubric Remix: Strategies for Combatting AI-Driven Futility
—Why Bother? A Rubric Remix
Led by the Writing Across the Curriculum Network
In this session, members of the WAC network discuss strategies for valorizing not just a product but the writing process itself, particularly collaborative aspects of the process, by creating process-oriented rubrics and process-based specifications for assessing student learning. -
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Teaching Students to Create Their Own Study Resources with AI
—Led by Lori Furbush
This workshop explores how educators can teach students to use AI to create their own study resources. The session will highlight practical ways students can generate summaries, study guides, review questions, and other materials that support deeper learning, stronger retention, and more independent study habits. The workshop leader will also share personal experiences and preliminary study data on the effectiveness of these approaches. -
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The "Bring Your Own A.I." Exam
—The "Bring Your Own AI" Exam
Led by Wenxin Guo and Mohan Menon
Explore assignments where students must use AI to generate a solution, but where 70% of their grade is based on their critique and verification of the AI's output, including tracking down hallucinations, evaluating accuracy, and improving the prompts used to generate the response.
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