@inproceedings{d6eb4ff01b184f98bad3a113994ff131,
title = "Enhancing ITS instruction with integrated assessments of learner mood, motivation and gender",
abstract = "ITS instruction may be enhanced by models of student motivation and mood, in addition to cognitive skills and domain knowledge. In an initial study, self-assessments by high school students of their mathematics motivation and mood showed gender differences in response to ITS instruction, and predicted students' intention to learn from the ITS and use of multimedia help features.",
author = "Beal, \{Carole R.\} and Erin Shaw and Chiu, \{Yuan Chun\} and Hyokyeong Lee and Lei Qu",
note = "Funding Information: The Wayang Outpost ITS was originally developed with support from United States National Science Foundation HRD 0120809 [4]. The present project is supported by National Science Foundation grants HRD 0411532 and REC 0411886. The views represented in this paper do not necessarily reflect the position and policies of the funding agency. We would like to thank Ms. Devi Mattai, Ms. Jeanine Foote, Mr. Kenneth Banks, and Dr. Derick Evans of the Pasadena Unified School District for their support and assistance with this project. We would also like to thank Lewis Johnson and Mark Lepper for their assistance with the design of the motivational model. Publisher Copyright: {\textcopyright} 2005 The authors. All rights reserved.; 12th International Conference on Artificial Intelligence in Education, AIED 2005 ; Conference date: 18-07-2005 Through 22-07-2005",
year = "2005",
language = "English",
series = "Frontiers in Artificial Intelligence and Applications",
publisher = "IOS Press BV",
pages = "750--752",
editor = "Chee-Kit Looi and Gord McCalla and Bert Bredeweg and Joost Breuker",
booktitle = "Artificial Intelligence in Education",
address = "Netherlands",
}
