“Machine teaching” looks to design optimal individual learning styles

A three-way collaboration project dubbed “machine teaching” works to find alternative teaching styles to help students learn effectively.But don’t let the name “machine teaching” fool you. This project is an interactive learning project for humans by humans. Engineering Professor Robert Nowak has been working with Jerry Zhu, a professor of computer science and leader of the “machine teaching” project, both have been working on machine learning. Zhu and Nowak try to train machines to recognize images or interpret forms of social media. Nowak and Zhu then use this knowledge to work with cognitive and educational psychologists at UW to examine how people reason and learn. The machine learning techniques enable researchers to personalize learning systems to effectively educate students, Nowak said. Tim Rogers, a UW cognitive psychology professor, has also been working on the project. Rogers said machine teaching…

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