Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

What We Can Learn from the Data: A Multiple-Case Study Examining Behavior Patterns by Students with Different Characteristics in Using a Serious Game

What We Can Learn from the Data: A Multiple-Case Study Examining Behavior Patterns by Students... Using a multi-case approach, we examined students’ behavior patterns in interacting with a serious game environment using the emerging technologies of learning analytics and data visualization in order to understand how the patterns may vary according to students’ learning characteristics. The results confirmed some preliminary findings from our previous research, but also revealed patterns that would not be easily detected without data visualizations. Such findings provided insights about designing effective learning scaffolds to support the development of problem-solving skills in young learners and will guide our next-step research. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png "Technology, Knowledge and Learning" Springer Journals

What We Can Learn from the Data: A Multiple-Case Study Examining Behavior Patterns by Students with Different Characteristics in Using a Serious Game

Loading next page...
 
/lp/springer-journals/what-we-can-learn-from-the-data-a-multiple-case-study-examining-zkSZIxUFO1

References (33)

Publisher
Springer Journals
Copyright
Copyright © 2015 by Springer Science+Business Media Dordrecht
Subject
Education; Learning & Instruction; Mathematics Education; Educational Technology; Science Education; Arts Education
ISSN
2211-1662
eISSN
2211-1670
DOI
10.1007/s10758-015-9263-7
Publisher site
See Article on Publisher Site

Abstract

Using a multi-case approach, we examined students’ behavior patterns in interacting with a serious game environment using the emerging technologies of learning analytics and data visualization in order to understand how the patterns may vary according to students’ learning characteristics. The results confirmed some preliminary findings from our previous research, but also revealed patterns that would not be easily detected without data visualizations. Such findings provided insights about designing effective learning scaffolds to support the development of problem-solving skills in young learners and will guide our next-step research.

Journal

"Technology, Knowledge and Learning"Springer Journals

Published: Aug 4, 2015

There are no references for this article.