James Malamut
James Malamut is a postdoctoral scholar in the EduNLP lab at Stanford University. His research combines qualitative and computational interaction analyses to better understand the teaching, learning, and doing of mathematics. He is a former middle school teacher and likes to go hiking.
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AI-enhanced coaching: What early studies show
Instructional coaching is one of the most effective ways to improve teaching, in part because feedback is grounded in teachers’ own classroom practice and delivered in the context of collaborative relationships (Kraft et al., 2018). But the time- and resource-intensive nature of coaching often limits its reach and impact. A […]
