{"word_count": 182, "character_count": 1271}
FGHL 2017 | Washington, D.C., du 30 mai au 3 juin 2017Date limite d'envoi des propositions : 1er février 2017The past 8 years have seen rapid growth in new technologies and services that help people learn -- examples include massive open online courses (Coursera, edX, Udacity), foreign language practice software (Duolingo, Rosetta Stone), educational games, and intelligent tutoring systems (Cognitive Tutor). Contemporaneously, the near ubiquity of web cameras in personal computers, mobile phones, and tablets, as well as the proliferation of new sensors (e.g., Oculus Rift, Apple 3-D touch, Kinect) to measure high dimensional and fine-grained movements in the face, eyes, hands, and body, have opened new avenues for modeling, adapting to, and optimizing students’ emotions and behavior in a variety of different human learning contexts. In order to harness these sensing devices to track learners’ emotions and behaviors more efficiently and accurately -- and in a manner that benefits learning -- interdisciplinary research between computer vision, machine learning, and behavioral scientists is important to identify fruitful research directions and to make progress on concrete research questions. Lire la suite : https://sites.google.com/site/fghlworkshop2017/