EDM
Engagement-Driven Differences in Acoustic Features During Online Reading Comprehension Conversations
Thu Jul 2, 3:45 PM–4:10 PM · North 209
Part of Language & Reading Analytics
★ Notable speakers
Ryan S. Baker
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— Educational data mining; BROMP observational protocol; student disengagement detection
Lyle Ungar
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— ML/NLP for computational social science and well-being; co-founder of the World Well-Being Project
Jaclyn Ocumpaugh
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— Automated detection of student affect and engagement; co-developer of the BROMP field-observation protocol
Julia Parish-Morris
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— Computational linguistics and ML for child language development and autism; NLP-based behavioral markers for neurodevelopmental conditions
A paper examining how student engagement levels relate to acoustic features of speech during online reading comprehension conversations.
Authors
E. Margaret Perkoff, Megan Lyons, Alexandria Mulqueen, Ryan S. Baker, Alan Gee, Jaclyn Ocumpaugh, Adam Porsch, Neville Ryant, Julia Parish-Morris, Lyle Ungar