Intelligent tutoring systems, educational data mining, and the design and evaluation of video games

Authors:
Michael Eagle;Tiffany Barnes
Affiliations:
Department of Computer Science, University of North Carolina at Charlotte, Charlotte, North Carolina;Department of Computer Science, University of North Carolina at Charlotte, Charlotte, North Carolina
Venue:
ITS'10 Proceedings of the 10th international conference on Intelligent Tutoring Systems - Volume Part II
Year:
2010

Citing 9
Cited 2

Multimedia Learning

Multimedia Learning
Digital game-based learning

Computers in Entertainment (CIE) - Theoretical and Practical Computer Applications in Entertainment
Games, learning and literacy

Proceedings of the 2006 ACM SIGGRAPH symposium on Videogames
Examining the pedagogical foundations of modern educational computer games

Computers & Education
Modeling the Acquisition of Fluent Skill in Educational Action Games

UM '07 Proceedings of the 11th international conference on User Modeling
Comparing Learners' Affect While Using an Intelligent Tutoring System and a Simulation Problem Solving Game

ITS '08 Proceedings of the 9th international conference on Intelligent Tutoring Systems
Evaluation of a game-based lab assignment

Proceedings of the 4th International Conference on Foundations of Digital Games
Level up: a frame work for the design and evaluation of educational games

Proceedings of the 4th International Conference on Foundations of Digital Games
On Using Learning Curves to Evaluate ITS

Proceedings of the 2005 conference on Artificial Intelligence in Education: Supporting Learning through Intelligent and Socially Informed Technology

Evaluating and improving adaptive educational systems with learning curves

User Modeling and User-Adapted Interaction
Design and analysis of collaborative interactions in social educational videogames

Computers in Human Behavior

Quantified Score

Hi-index	0.00

Visualization

Abstract

Technological support for personalized learning has the potential to transform the educational system in the United States There is a growing interest in educational games and their potential for motivating learners Techniques from the educational data mining and intelligent tutoring systems communities can be leveraged to better understand, design, and evaluate educational games for both learning effectiveness and learner engagement This work explores the use of intelligent feedback in games as well as the potential pitfalls; it concludes with a proposed study designed to explore the differences between intelligent tutoring systems and educational video games.