By Doug Ward

Research about learning and artificial intelligence mostly reinforces what instructors had suspected: Generative AI can extend students’ abilities, but it can’t replace the hard work of learning. Students who use generative AI to avoid early course material eventually struggle with deeper learning and more complex tasks. 

On the other hand, AI can improve learning among motivated students, it can assist creativity, and it can help students accomplish tasks they might never have tried on their own.

How can we grade participation more effectively?

I often roll my eyes at articles that take millennials to task for not measuring up to the standard of the day. All too often, baby boomers and those in generations before seem to wag their fingers at young people and spew out curmudgeonly laments that inevitably start with, “When I was your age …”

True learning has little to do with memorization.

Benjamin Bloom explained that with enduring clarity 60-plus years ago. His six-tiered taxonomy places rote recall of facts at the bottom of a hierarchical order, with real learning taking place on higher tiers when students apply, analyze, synthesize, and create.

Most Americans still see a four-year degree as important, but it is not at the top of the list of things that will help someone achieve a successful career, a recent Heartland Monitor poll suggests.

In the poll, respondents ranked technology skills, an ability to work with diverse groups of people, keeping skills current, and having family connections above a four-year college degree.