This section of the guide is intended for faculty and teachers who may plan to use generative AI in their classrooms, or throughout their courses. These resources will guide you through those depths of AI, and into resources for how to help teach it in your courses, account for it in assignments, and your syllabus.
If you would like to know a bit more about generative AI and how it is used, start with the video below from IBM explaining what the different models are.
NOTE: it may be a FERPA violation to upload a student's work to software to determine if it is AI generated.
Before instructing or using AI in your courses, it is beneficial to know what AI is, how it works, the future of AI and what prompt-engineering is. These are all terms and features when learned will benefit not only you, but your students and your instruction as well. The resources below will help you understand these concepts and walk you through using AI.
These resources will help you when trying to implement AI into your assignments and coursework. The list below ranges from developed frameworks, discussions, assignment ideas, and controversies with AI, to the future of teaching with AI. It is important to note that generative AI is a fast-evolving environment, therefore some of these frameworks may change more quickly than some of the other teaching and learning frameworks.
Here is a list of resources that can help you ethically incorporate the use of ChatGPT, create compelling assignments, and account for AI generative work in your syllabuss.
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