Sanjay Kalra, Mangesh Tiwaskar, Dina Shrestha, Noel Somasundaram, Sonali Gokhalay
Digital Nerve Care Forum: Innovative Healthcare Professionals Education on Neuropathy
The Journal of the Association of Physicians of India
student engagement key concept contemporary education valued goal right paper explore approaches automatic recognition engagement students facial expressions studied whether human observers reliably judge engagement face analyzed signals observers use make judgments automated process using machine learning found human observers reliably agree discriminating low versus high degrees engagement cohens 096 fine discrimination required four distinct levels reliability decreases still quite high 056 furthermore found engagement labels 10second video clips reliably predicted average labels constituent frames pearson r085 suggesting static expressions contain bulk information used observers used machine learning develop automatic engagement detectors found binary classification eg high engagement versus low engagement automated engagement detectors perform comparable accuracy humans finally show human automatic engagement judgments correlate task performance experiment student posttest performance predicted comparable accuracy engagement labels r047 pretest scores r044