As educators, our first step into the world of generative AI is to arm ourselves with knowledge about the benefits and limitations of this technology. This pathway is designed to help you understand the mechanics of AI, empowering you to inform both yourself and your students.
Those who embark on this journey will:
Learn about generative AI technology, data, ethics, and bias
Prioritize the art of thinking and writing over reliance on generative text.
Establish clear guidelines for student use of generative AI in assignments, mitigating its impact on teaching, and learning to limit its disruptive potential in the classroom.
For those ready to delve deeper, the AI Assistance pathway offers a more exploratory approach. This route investigates how generative AI tools outside of ChatGPT can aid students in achieving specific learning outcomes, while still reinforcing the fundamental skills of AI literacy.
Educators choosing this pathway will:
Discover generative AI tools designed to assist students with writing, reading, research, feedback, and tutoring.
Introduce generative AI in structured assignments that align the tools with specific outcomes, fostering student reflection on their use of the technology.
Set clear boundaries on the level of assistance provided by certain generative AI tools to maintain a balanced learning environment.
Once you're comfortable with AI Literacy and AI Assistance, it's time to venture into the advanced realm of AI Aptitude. This pathway explores the cutting-edge use cases for generative AI in education and beyond
Educators eager to tread this path will:
Learn the basics of both introductory and advanced prompt engineering to design innovative assignments and assessments.
Explore the evolution of large language models, including their use of multimodal techniques to generate text, video, images, and code.
Show a keen interest in harnessing generative AI for instructional design, paving the way for a future-focused learning environment.
How do we gather all the messy bits of information about generative AI we need to form a framework about what it means to be AI literate? One method is to start a digital garden. Maggie Appleton’s ethos of digital gardening as a method of collecting, sorting, and ruminating on information is an excellent heuristic to apply to the chaotic information space that occupies our digital moment around generative AI.
Digital gardeners embrace a work-in progress ethos to information. Ideas often need time to flourish, revision and space to nurture, and sometimes need to be left to wither when a new, better idea replaces it. At its heart, Appleton argues that digital gardening is a “different way of thinking about our online behavior around information - one that accumulates personal knowledge over time in an explorable space.” Thus, Digital Gardening is all about taking control about how you learn in our chaotic digital public spaces.