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.