EDM
Language & Reading Analytics
Thu Jul 2, 3:45 PM–5:00 PM · North 209
★ Notable speakers
Sidney D'Mello
★★
— Affective computing; affect and engagement detection in intelligent learning environments; mind-wandering during learning
Ryan S. Baker
★★
— Educational data mining; BROMP observational protocol; student disengagement detection
Lyle Ungar
★★
— ML/NLP for computational social science and well-being; co-founder of the World Well-Being Project
Shamya Karumbaiah
★
— Affect detection, student engagement modeling, and equity/bias in intelligent tutoring and adaptive learning
Jaclyn Ocumpaugh
★
— Automated detection of student affect and engagement; co-developer of the BROMP field-observation protocol
Julia Parish-Morris
★
— Computational linguistics and ML for child language development and autism; NLP-based behavioral markers for neurodevelopmental conditions
EDM #14 | Long Paper Session
3 talks in this session
Engagement-Driven Differences in Acoustic Features During Online Reading Comprehension Conversations
E. Margaret Perkoff, Megan Lyons, Alexandria Mulqueen, Ryan S. Baker, Alan Gee
Exploring Temporal Dynamics Underlying Eye Gaze, EEG, and Text Characteristics during Naturalistic Reading with Multi-Level Vector Autoregression
Megan Caruso, Robert Moulder, Rosy Southwell, Sidney D'Mello
What Do LIWC Features Capture in Multilingual Classroom Talk? A Systemic Functional Linguistic Analysis
Kaycie Barron, Ananya Ganesh, Shamya Karumbaiah, Mariana Castro