Full metadata
Title
Promoting self-regulation and metacognition through the use of online trace data within a game-based environment
Description
Computer-based environments provide a window into the complex and multifaceted learning process. These systems often collect a vast amount of information concerning how users choose to engage and behave within the interface (i.e., click streams, language input, and choices). Researchers have begun to use this information to gain a deeper understanding of users’ cognition, attitudes, and abilities. This dissertation is comprised of two published articles that describe how post-hoc and real-time analyses of trace data provides fine-grained details about how users regulate, process, and approach various learning tasks within computer-based environments. This work aims to go beyond simply understanding users’ skills and abilities, and instead focuses on understanding how users approach various tasks and subsequently using this information in real-time to enhance and personalize the user’s learning experience.
Date Created
2015
Contributors
- Snow, Erica L (Author)
- McNamara, Danielle S. (Thesis advisor)
- Connor, Carol (Committee member)
- Winne, Phillip (Committee member)
- Duran, Nicholas (Committee member)
- Arizona State University (Publisher)
Topical Subject
Resource Type
Extent
vii, 100 pages : illustrations
Language
eng
Copyright Statement
In Copyright
Primary Member of
Peer-reviewed
No
Open Access
No
Handle
https://hdl.handle.net/2286/R.I.35974
Statement of Responsibility
by Erica L. Snow
Description Source
Viewed on March 25, 2016
Level of coding
full
Note
thesis
Partial requirement for: Ph. D., Arizona State University, 2015
bibliography
Includes bibliographical references (pages 92-100)
Field of study: Psychology
System Created
- 2015-12-01 07:01:11
System Modified
- 2021-08-30 01:26:45
- 3 years 2 months ago
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