Understanding Generative AI
Artificial Intelligence Resources (Georgetown University)
- AI fundamentals
- How to craft prompts
- Citing Generative AI
- Ethics and AI
- Latest News on AI in Education (NOTE: RMC Users must access the articles via the McGraw-Page Library website; search for the articles using the appropriate tabs for "Scholarly Articles", "Journal Titles" or "Databases” on the main search box.)
Generative AI Modules for Learners (Carnegie Mellon University)
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Self-paced Learning modules on the Generative AI basics, ethical implications, opportunities and risks, and responsible use; developed by CMU faculty, students and staff in 2025; made available via CMU’s Open Learning Initiative (OLI)
Start Generative AI Modules
7 Things You Should Know About Generative AI (EDUCAUSE Review)
- What is it?
- How does it work?
- Who is doing it?
- Why is it significant?
- What are the downsides
- Where is it going?
- What are the implications for higher Education?
Student Guide to Artificial Intelligence: 7 Core Principles (Elon University in partnership with AAC&U)
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Know and follow your school’s (and course instructor's) rules
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Learn about AI
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Do the right thing
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Think beyond your major
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Commit to lifelong learning
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Prioritize security and privacy
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Cultivate your human abilities
Citing Generative AI
Related:
- Artificial Intelligence and the Future of Teaching and Learning (The U.S. Department of Education, Office of Educational Technology)
"The report describes AI as a rapidly-advancing set of technologies for recognizing patterns in data and automating actions, and guides educators in understanding what these emerging technologies can do to advance educational goals—while evaluating and limiting key risks."
- Generative AI and the Future of Work (Deloitte)
"By nurturing a workforce equipped to adapt, learn, and evolve with Generative AI, we can help ensure that we are shaping a future in which technology serves as a tool for human empowerment."