Enhancing ITS instruction with integrated assessments of learner mood, motivation and gender

Carole R. Beal; Erin Shaw; Yuan Chun Chiu; Hyokyeong Lee; Lei Qu

Enhancing ITS instruction with integrated assessments of learner mood, motivation and gender

Carole R. Beal
, Erin Shaw
, Yuan Chun Chiu
, Hyokyeong Lee
, Lei Qu

Department of Computer Science

Reykjavik University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	Artificial Intelligence in Education
Subtitle of host publication	Supporting Learning through Intelligent and Socially Informed Technology
Editors	Chee-Kit Looi, Gord McCalla, Bert Bredeweg, Joost Breuker
Publisher	IOS Press BV
Pages	750-752
Number of pages	3
ISBN (Electronic)	1586035304, 9781586035303
Publication status	Published - 2005
Event	12th International Conference on Artificial Intelligence in Education, AIED 2005 - Amsterdam, Netherlands Duration: 18 Jul 2005 → 22 Jul 2005

Publication series

Name	Frontiers in Artificial Intelligence and Applications
Volume	125

Conference

Conference	12th International Conference on Artificial Intelligence in Education, AIED 2005
Country/Territory	Netherlands
City	Amsterdam
Period	18/07/05 → 22/07/05

Bibliographical 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: © 2005 The authors. All rights reserved.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being
SDG 4 Quality Education
SDG 9 Industry, Innovation, and Infrastructure
SDG 11 Sustainable Cities and Communities
SDG 16 Peace, Justice and Strong Institutions

Cite this

Beal, C. R., Shaw, E., Chiu, Y. C., Lee, H., & Qu, L. (2005). Enhancing ITS instruction with integrated assessments of learner mood, motivation and gender. In C.-K. Looi, G. McCalla, B. Bredeweg, & J. Breuker (Eds.), Artificial Intelligence in Education: Supporting Learning through Intelligent and Socially Informed Technology (pp. 750-752). (Frontiers in Artificial Intelligence and Applications; Vol. 125). IOS Press BV.

Beal, Carole R. ; Shaw, Erin ; Chiu, Yuan Chun et al. / Enhancing ITS instruction with integrated assessments of learner mood, motivation and gender. Artificial Intelligence in Education: Supporting Learning through Intelligent and Socially Informed Technology. editor / Chee-Kit Looi ; Gord McCalla ; Bert Bredeweg ; Joost Breuker. IOS Press BV, 2005. pp. 750-752 (Frontiers in Artificial Intelligence and Applications).

@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",

}

Beal, CR, Shaw, E, Chiu, YC, Lee, H & Qu, L 2005, Enhancing ITS instruction with integrated assessments of learner mood, motivation and gender. in C-K Looi, G McCalla, B Bredeweg & J Breuker (eds), Artificial Intelligence in Education: Supporting Learning through Intelligent and Socially Informed Technology. Frontiers in Artificial Intelligence and Applications, vol. 125, IOS Press BV, pp. 750-752, 12th International Conference on Artificial Intelligence in Education, AIED 2005, Amsterdam, Netherlands, 18/07/05.

Enhancing ITS instruction with integrated assessments of learner mood, motivation and gender. / Beal, Carole R.; Shaw, Erin; Chiu, Yuan Chun et al.
Artificial Intelligence in Education: Supporting Learning through Intelligent and Socially Informed Technology. ed. / Chee-Kit Looi; Gord McCalla; Bert Bredeweg; Joost Breuker. IOS Press BV, 2005. p. 750-752 (Frontiers in Artificial Intelligence and Applications; Vol. 125).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Enhancing ITS instruction with integrated assessments of learner mood, motivation and gender

AU - Beal, Carole R.

AU - Shaw, Erin

AU - Chiu, Yuan Chun

AU - Lee, Hyokyeong

AU - Qu, Lei

N1 - 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: © 2005 The authors. All rights reserved.

PY - 2005

Y1 - 2005

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/84857751014

M3 - Conference contribution

T3 - Frontiers in Artificial Intelligence and Applications

SP - 750

EP - 752

BT - Artificial Intelligence in Education

A2 - Looi, Chee-Kit

A2 - McCalla, Gord

A2 - Bredeweg, Bert

A2 - Breuker, Joost

PB - IOS Press BV

T2 - 12th International Conference on Artificial Intelligence in Education, AIED 2005

Y2 - 18 July 2005 through 22 July 2005

ER -

Beal CR, Shaw E, Chiu YC, Lee H, Qu L. Enhancing ITS instruction with integrated assessments of learner mood, motivation and gender. In Looi CK, McCalla G, Bredeweg B, Breuker J, editors, Artificial Intelligence in Education: Supporting Learning through Intelligent and Socially Informed Technology. IOS Press BV. 2005. p. 750-752. (Frontiers in Artificial Intelligence and Applications).

Enhancing ITS instruction with integrated assessments of learner mood, motivation and gender

Abstract

Publication series

Conference

Bibliographical note

UN SDGs

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Cite this