RAG and Fine-tuning ARE Instructional Design

All of the analysis, design, and development that happen in conjunction with retrieval augmented generation (RAG) and fine-tuning of large language models is instructional design. The instructional design process often begins with an analysis of the learner(s). What do they already know? What skills do they already have? What prior knowledge can we assume will … Read more

The Symmetrical Power of AI in Assessments

Large language models (LLMs) make it possible for faculty to rapidly create a wide range of formative and summative assessments for their students. And, as we hear about so often, students can also use LLMs to write their essays and complete other assignments. (Apparently, when faculty use AI to create assignments, it’s a “productivity gain.” … Read more

Information Age vs Generation Age Technologies for Learning

It is absolutely critical that everyone who cares about technology-mediated learning understand this point. There is a seismic shift in perspective necessary from pre-generative AI technologies to generative AI technologies. It requires changes in the way we think about everything – from pedagogy to supporting infrastructure. I’ve been writing and speaking about this for months … Read more