Makada Henry-Nickie
Why We Should Train Workers like We Train Machine Learning Algorithms
Brookings Institution, 2018
What's inside?
Computer algorithms learn and improve from experience. So do humans!
Recommendation
How do you prepare students for jobs that don’t yet exist? According to Brookings Institution scholar Makada Henry-Nickie, educational systems are putting too much emphasis on specific, teachable skills rather than on preparing students to thrive in a rapidly changing work environment. Taking cues from the way computer scientists program algorithms, Henry-Nickie advocates for an experiential, learning-based curriculum that will help equalize the existing skills gap between advantaged and disadvantaged students. getAbstract recommends her analysis to HR professionals and educational policy makers.
Summary
About the Author
Makada Henry-Nickie is a Fellow of the Brookings Institution as part of its governance studies, race, prosperity and inclusion initiative.
Comment on this summary