@inproceedings{94984c2a24574a189f736bdfd4d680fa,
title = "Viewing student affect and learning through classroom observation and physical sensors",
abstract = "We describe technology to dynamically collect information about students' emotional state, including human observation and real-time multi-modal sensors. Our goal is to identify physical behaviors that are linked to emotional states, and then identify how these emotional states are linked to student learning. This involves quantitative field observations in the classroom in which researchers record the behavior of students who are using intelligent tutors. We study the specific elements of learner's behavior and expression that could be observed by sensors. The long-term goal is to dynamically predict student performance, detect a need for intervention, and determine which interventions are most successful for individual students and the learning context (problem and emotional state).",
author = "Toby Dragon and Ivon Arroyo and Woolf, {Beverly P.} and Winslow Burleson and {El Kaliouby}, Rana and Hoda Eydgahi",
year = "2008",
doi = "10.1007/978-3-540-69132-7_8",
language = "English (US)",
isbn = "3540691308",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "29--39",
booktitle = "Intelligent Tutoring Systems - 9th International Conference, ITS 2008, Proceedings",
note = "9th International Conference on Intelligent Tutoring Systems, ITS 2008 ; Conference date: 23-06-2008 Through 27-06-2008",
}