@inproceedings{43565b5084ce404e940a0118ea5671c7,
title = "Internal & external attributions for emotions within an ITS",
abstract = "Students self-reported not only their emotional state, but also the causal attributions of their emotions. After coding emotions with internal references to self, and external references to the environment or domain, we examined how sub-groups of students based on internal/external attributions and above or below median performance differ in terms of their emotional state, perceptions of item difficulty, and gender. Copyright is held by the owner/author(s).",
keywords = "Attribution, Education, Emotion, ITS, Mathematics",
author = "Naomi Wixon and Danielle Allessio and Sarah Schultz and Winslow Burleson and Ivon Arroyo and Kasia Muldner and Beverly Woolf",
note = "Funding Information: Our thanks to Ryan Baker & Jaclyn Ocumpaugh for their helpful suggestions and criticisms for this work. This research was funded by the National Science Foundation, #1324385, Cyberlearning DIP, Impact of Adaptive Interventions on Student Affect, Performance, and Learning; Burleson, Arroyo and Woolf (PIs). Any opinions, findings, conclusions or recommendations expressed in this paper are those of the authors and do not necessarily reflect the views of the funding agencies.; 24th ACM International Conference on User Modeling, Adaptation, and Personalization, UMAP 2016 ; Conference date: 13-07-2016 Through 17-07-2016",
year = "2016",
month = jul,
day = "13",
doi = "10.1145/2930238.2930277",
language = "English (US)",
series = "UMAP 2016 - Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization",
publisher = "Association for Computing Machinery, Inc",
pages = "311--312",
booktitle = "UMAP 2016 - Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization",
}