A.I. Resources
Generative AI (GenAI) refers to machine learning systems that analyze patterns in data to produce new content - such as text, images, or scientific outputs - not present in the original input (Rathkopf, 2025). While these tools offer powerful support for educational tasks like drafting explanations or creating visuals, they raise important ethical concerns including bias, where outputs may unfairly represent certain genders or races (Zhou et al., 2024), and hallucinations, which are outputs that appear plausible but are factually incorrect (Rathkopf, 2025). Generative A.I. is ever evolving and we commit to keeping pace to provide a balanced source of information and support. Check back periodically for updates and review the SDCC Academic Senate AI position paper for reference.
Quick Links
- SDCCD Bot Library & Guidelines
- SDCC Library AI Tools resource page
- Online Learning Pathways - Generative A.I. Faculty Resources
- Bot or Not? Strategies to identify fraudulent students
- 📖 Open Access Book - Teaching with AI by José Antonio Bowen; Edward C Watson
Ethics of AI with Professor Anna Marbut of University of San Diego (9-minutes)
Read
Educause - AI Ethical Guidelines online document (June 2025)
Some Ethical Considerations for Teaching and Generative AI in Higher Education (from Teaching and Generative AI - Pedagogical Possibilities and Productive Tensions available on Utah Education Network Creative Commons)
AI Demystified: Navigating Ethical AI Challenges (50-minutes). Access PDF Slides
AI Literacy: An Introduction to Generative AI (60-minutes). Access PDF slides.
AI Powered Teaching: Practical Tools for Community College Faculty
Teaching with AI, with Jose Antonio Bowen on Teaching in Higher Ed Podcast (48-minutes)
The following are free or low-cost learning opportunities on a variety of A.I. topics. If you are a faculty member these are excellent examples of independent projects that can be submitted for flex credit.
CVC@ONE Learning Opportunities
- @ONE Generative AI-1 Self-Paced Course: This 2-week self-paced course will help you confidently and ethically integrate generative AI into your teaching. You'll explore key concepts, including equity and inclusion, and draft classroom AI use policies. In the second module, you'll design AI-enhanced assignments using various tools. By the end, you'll gain practical skills to apply AI responsibly in your instruction.
- AI Literacy for Educators: Supporting Student Success: Elevating artificial intelligence (AI) literacy positions learners at the forefront of higher education and a new era of teaching and learning. This course is designed to give participants a comprehensive overview of understanding AI and creating an AI policy to utilize with students, grounded through a narrative-driven course centered around a California Community College student persona named Marisol.
🎥 SDCCD Office of Innovation Recorded Sessions
- Enhancing Learning with Chatbots (see if a table works here)
- AI and Research
- AI Across Disciplines
- Ethical Dilemmas and AI
- Crafting Effective Prompts
- Advanced Prompting Techniques
- AI, Critical Pedagogy, and Writing
- An Introduction to AI Literacy
References
Rathkopf, C. (2025). Hallucination, reliability, and the role of generative AI in science. arXiv preprint arXiv:2504.08526
Zhou, M., Abhishek, V., Derdenger, T., Kim, J., & Srinivasan, K. (2024). Bias in generative AI.arXiv preprint arXiv:2403.02726