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Treffer: Taming Log Files from Game/Simulation-Based Assessments: Data Models and Data Analysis Tools. Research Report. ETS RR-16-10

Title:
Taming Log Files from Game/Simulation-Based Assessments: Data Models and Data Analysis Tools. Research Report. ETS RR-16-10
Language:
English
Authors:
Hao, Jiangang, Smith, Lawrence, Mislevy, Robert, von Davier, Alina, Bauer, Malcolm
Source:
ETS Research Report Series. Mar 2016.
Availability:
Educational Testing Service. Rosedale Road, MS19-R Princeton, NJ 08541. Tel: 609-921-9000; Fax: 609-734-5410; e-mail: RDweb@ets.org; Web site: https://www.ets.org/research/policy_research_reports/ets
Peer Reviewed:
Y
Page Count:
19
Publication Date:
2016
Document Type:
Fachzeitschrift Journal Articles<br />Reports - Research
Descriptors:
Evaluation Methods, Games, Computer Assisted Testing, Data Collection, Programming, Databases, Models, Simulation
ISSN:
2330-8516
Number of References:
20
Entry Date:
2017
Accession Number:
EJ1124741
Database:
ERIC

Weitere Informationen

Extracting information efficiently from game/simulation-based assessment (G/SBA) logs requires two things: a well-structured log file and a set of analysis methods. In this report, we propose a generic data model specified as an extensible markup language (XML) schema for the log files of G/SBAs. We also propose a set of analysis methods for identifying useful information from the log files and implement the methods in a package in the Python programming language, glassPy. We demonstrate the data model and glassPy with logs from a game-based assessment, SimCityEDU.

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