Serendipity35

You can find numerous articles online about how artificial intelligence (AI) tools and activities can create the "AI-augmented professor." I have seen fewer opinions on how non-teaching staff members who support the learning process at most universities will be affected.

Certainly, AI augmentation will also affect those who support faculty and students, such as instructional designers, researchers, administrators, and other nonteaching professionals.

I read a piece on insidehighered.com about this group and keyed in on instructional designers since that was my area. The article uses an awkward term - BYOAI Bring Your Own AI - for his group because of the hybrid nature of home and office work for this group. Of  course, many faculty are also hybrid now, teaching in a campus classroom as well as from their home or office online.

Instructional designers are already using generative AI tools to create graphics, images and audio segments for classes. New tools, such as OpenAI’s Sora can generate full-motion videos from prompts. Chatbots can write or revise content. It can produce a rough draft syllabus for a new course.

This is also something that should concern those people coming into higher ed (and secondary education too, though perhaps to a lesser degree currently). Citing a survey by Microsoft and LinkedIn, ZDNet reported that “AI skills are so much of a priority that the report suggests 66 percent of business leaders wouldn’t hire someone without AI skills, and 71 percent of leaders would prefer to hire a less experienced candidate with AI skills than a more experienced candidate without them.”

 

When I was studying to be a secondary school teacher, Bloom’s Taxonomy often came up in my classes as a way to do lesson planning and a way to assess learners. Recently, there have been several revisions to its pyramid stack. An article on www.gettingsmart.com suggests a spiral might be better, particularly if you want to use it as a lens to view AI.

The author, Vriti Saraf, opines that the most important potential of AI isn’t to enhance human productivity, it’s to enhance and support human thinking, and that looking at AI’s capabilities through the lens of Bloom’s Taxonomy showcases the possible interplay of humans and machines.

It is an interesting idea. Take a look.

 

 

When I was working full-time as an instructional designer, I became very concerned with making courses (especially online courses) accessible. In the early days of this century, very often the college I worked at was quite focused on making accommodations for students with special needs. That was a quick fix but not a sustainable approach.

Retrofitting online courses became part of my department's purview. Our instructional design thinking believed that access(ible) are more than making accommodations. We knew that courses that were accessible for students who had particular needs were also courses that ate probably more accessible for all the other students too. There were so many small examples of things we did. It turned out to be useful to all the students in the course.

One semester now 20 years ago, I decided to provide audio files of my short online lectures and of explanatory talk about some of the more complicated assignments. Some students told me that they would listen to them while driving in the car, or commuting on the train, or on their walks with their dogs. Most of these audio files were taken from videos that I had made often with accompanying PowerPoint slides. So the visual was lost but we all know that a good number of PowerPoint slides used for lecture or text, so not all of the visual content was needed.

The fact that students use them this way, not only convinced me to continue the practice but made me rethink what I was putting in those slides. Perhaps the truly visual presentations needed to be truly visual and not offered as audio files so that students would have to sit down and view the video version. I was rethinking my use of visuals overall.

 

I spent all my years in higher education working in instructional technology. One of the parts of the department I ran with that title was our instructional designers. I think that if you had asked me in the early part of the century what the difference was between instructional design and learning design - a term that was not in use at the start of my higher ed career - I would have said that instructional design is learning design. But today, there is a distinction.

"Learning design" and "instructional design" are closely related fields but learning design pertains to the overarching process of designing learning experiences and environments. It encompasses the full range of the learning process from determining learners' needs to assessment.

Instructional design is a more specific aspect of learning design. It takes the principles of learning and instruction and creates concrete plans for instructional materials and experiences. You may call someone a learning designer but I stay with the instructional designer (ID) being the one crafting course content, activities, and evaluations. 

Learning design includes many kinds of designs - informal, experiential, and self-directed learning. The ID focuses on the actual learning experiences.

A book or course on learning design will present models like ADDIE.  Learning design is holistic design. Instructional design tailors the content and activities for formal learning.