The CUNY Innovative Teaching Academy of the Office of Faculty Affairs has announced Open Educational Resources (OERs) on generative AI developed through a collaborative effort by 30 faculty members CUNY-wide in five key disciplines: Education, Health, Humanities, Social Sciences, and STEM. These materials are uniquely tailored to each field's specific needs and teaching methods.
The discipline-specific resources support the goal of empowering students to use AI tools effectively, ethically, and responsibly.
Resource examples include:
- Create GenAI Illustrated Stories for Multicultural Teaching (Ting Yuan, College of Staten Island, Curriculum & Instruction)
- Learning to Code with GitHub Copilot: A Resource for New Student Developers (Sarah Zelikovitz, College of Staten Island, Computer Science)
- Spotting and Responding to Health Misinformation and Disinformation (Jean-Philippe Berteau, College of Staten Island, Physical Therapy)
- Engaging Ethics in Technology and Artificial Intelligence (Elizabeth Edenberg, Baruch College, Philosophy)
- AI and Positionality: A Guide for Learning Communities (Emese Ilyes, John Jay College of Criminal Justice, Psychology)
- Filtered Reality: Artificial Intelligence in Social Media an the Mental Health of Adolescents (Maria Savva, LaGuardia Community College, Education & International Studies)
- Generative AI-Assisted Organic Chemistry Tutoring (Ji Kim, Guttman Community College, Chemistry)
The full list is accessible on the CUNY Academic Works website.
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