Taming Log Files From Game/Simulation‐Based Assessments: Data Models and Data Analysis Tools
2016; Wiley; Volume: 2016; Issue: 1 Linguagem: Inglês
10.1002/ets2.12096
ISSN2330-8516
AutoresJiangang Hao, Lawrence L. Smith, Robert J. Mislevy, Alina von Davier, Malcolm Bauer,
Tópico(s)Software System Performance and Reliability
ResumoAbstract 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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