Within education, we are likely familiar with the many cognitive models and heuristics used to depict learning stages or provide frameworks for approaching the art and science of teaching. Bloom’s Taxonomy, Maslow’s Hierarchy of Needs, Piaget’s Theory of Cognitive Development, Vygotsky’s Zones of Proximal Development, and many other models and theories provide conceptualizations of individual steps, thoughts, stages, or actions to be taken in the internalization and mastery of concepts in education, both for students and instructors. It seems a natural progression then that a similar framework would begin to develop in the age of artificial intelligence that helps instructors and students alike understand the stages of development or work to be done in understanding, testing, and applying AI workflows to our current states of learning and teaching. Continue reading →