@inproceedings{7cc58dfa05f2492ca732d0a6e81d3f6d,
title = "{"}Yes!{"}: Using tutor and sensor data to predict moments of delight during instructional activities",
abstract = "A long standing challenge for intelligent tutoring system (ITS) designers and educators alike is how to encourage students to take pleasure and interest in learning activities. In this paper, we present findings from a user study involving students interacting with an ITS, focusing on when students express excitement, what we dub {"}yes!{"} moments. These findings include an empirically-based user model that relies on both interaction and physiological sensor features to predict {"}yes!{"} events; here we describe this model, its validation, and initial indicators of its importance for understanding and fostering student interest.",
keywords = "empirically-based model, interest, motivation, sensing devices",
author = "Kasia Muldner and Winslow Burleson and Kurt VanLehn",
year = "2010",
doi = "10.1007/978-3-642-13470-8_16",
language = "English (US)",
isbn = "3642134696",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "159--170",
booktitle = "User Modeling, Adaptation, and Personalization - 18th International Conference, UMAP 2010, Proceedings",
note = "18th International Conference on User Modeling, Adaptation and Personalization, UMAP 2010 ; Conference date: 20-06-2010 Through 24-06-2010",
}