TY - GEN
T1 - Knowledge assessment
T2 - 14th International Conference on the Foundations of Digital Games, FDG 2019
AU - Zhao, Richard
AU - Shelton, Christopher R.
AU - Hetzel-Riggin, Melanie D.
AU - Lariccia, Jordan
AU - Louchart, Gregory
AU - Meanor, Adam
AU - Risser, Heather J.
N1 - Funding Information:
This research was supported by the Penn State Center for Online Innovation in Learning (COIL), now part of the Penn State Nittany AI Alliance, and the Penn State Behrend Engineering Senior Design Project. Dr. Heather Risser would like to acknowledge Dr. Andrew Johnson's (UIC) work on an earlier conceptualization of this project that involved motion capture.
Publisher Copyright:
© 2019 ACM.
PY - 2019/8/26
Y1 - 2019/8/26
N2 - Using serious games as a form of training and education has been a growing trend. While there has been research into the adaptation of games for training, assessment of user knowledge as a whole for the purpose of creating tailored training content has not been closely examined. In this paper, we propose a general framework for creating an assessment game and show how Knowledge Assessment can be used to guide the focus of subsequent training modules. Using our framework, we address the frustration and anxiety expressed by medical and nursing professionals about their lack of training regarding indicators of child physical abuse (CPA) in the United States. We develop the Computer Simulated Interactive Child Abuse Screening Tool (CSI-CAST), which contains scenarios in a serious game and uses assistive AI technologies to assess a group of users and discover features that are important in indicating the users' collective knowledge identifying CPA. A user study is conducted to show that CSI-CAST is easy to use and it functions to discover specific training needs.
AB - Using serious games as a form of training and education has been a growing trend. While there has been research into the adaptation of games for training, assessment of user knowledge as a whole for the purpose of creating tailored training content has not been closely examined. In this paper, we propose a general framework for creating an assessment game and show how Knowledge Assessment can be used to guide the focus of subsequent training modules. Using our framework, we address the frustration and anxiety expressed by medical and nursing professionals about their lack of training regarding indicators of child physical abuse (CPA) in the United States. We develop the Computer Simulated Interactive Child Abuse Screening Tool (CSI-CAST), which contains scenarios in a serious game and uses assistive AI technologies to assess a group of users and discover features that are important in indicating the users' collective knowledge identifying CPA. A user study is conducted to show that CSI-CAST is easy to use and it functions to discover specific training needs.
KW - Child physical abuse
KW - Educational game
KW - Game design
KW - Knowledge assessment
KW - Serious game
KW - Video game
UR - http://www.scopus.com/inward/record.url?scp=85072820002&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85072820002&partnerID=8YFLogxK
U2 - 10.1145/3337722.3337747
DO - 10.1145/3337722.3337747
M3 - Conference contribution
AN - SCOPUS:85072820002
T3 - ACM International Conference Proceeding Series
BT - Proceedings of the 14th International Conference on the Foundations of Digital Games, FDG 2019
A2 - Khosmood, Foaad
A2 - Pirker, Johanna
A2 - Apperley, Thomas
A2 - Deterding, Sebastian
PB - Association for Computing Machinery
Y2 - 26 August 2019 through 30 August 2019
ER -
