NotesFAQContact Us
Search Tips
Peer reviewed Peer reviewed
PDF on ERIC Download full text
ERIC Number: EJ1109282
Record Type: Journal
Publication Date: 2014-Dec
Pages: 19
Abstractor: As Provided
ISSN: EISSN-2330-8516
Statistical Methods for Assessments in Simulations and Serious Games. Research Report. ETS RR-14-12
Fu, Jianbin; Zapata, Diego; Mavronikolas, Elia
ETS Research Report Series, Dec 2014
Simulation or game-based assessments produce outcome data and process data. In this article, some statistical models that can potentially be used to analyze data from simulation or game-based assessments are introduced. Specifically, cognitive diagnostic models that can be used to estimate latent skills from outcome data so as to scale these assessments are presented under the framework of Bayesian networks; 5 prospective data mining methods that can be employed to discover problem-solving strategies from process data are described. Some studies in the literature that apply some of these methods to analyze simulation or game-based assessments are presented as application examples. Recommendations are provided for selecting appropriate scaling and data mining methods for these assessments; future directions of research are proposed.
Educational Testing Service. Rosedale Road, MS19-R Princeton, NJ 08541. Tel: 609-921-9000; Fax: 609-734-5410; e-mail:; Web site:
Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A