Taming Log Files from Game/Simulation-Based Assessments: Data Models and Data Analysis Tools. Research Report. ETS RR-16-10
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| Titel: | Taming Log Files from Game/Simulation-Based Assessments: Data Models and Data Analysis Tools. Research Report. ETS RR-16-10 |
|---|---|
| Sprache: | English |
| Autoren: | Hao, Jiangang, Smith, Lawrence, Mislevy, Robert, von Davier, Alina, Bauer, Malcolm |
| Quelle: | ETS Research Report Series. Mar 2016. |
| Verfügbarkeit: | 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 |
| Publikationsdatum: | 2016 |
| Publikationsart: | Journal Articles Reports - Research |
| Descriptors: | Evaluation Methods, Games, Computer Assisted Testing, Data Collection, Programming, Databases, Models, Simulation |
| ISSN: | 2330-8516 |
| Abstract: | 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. |
| Abstractor: | As Provided |
| Number of References: | 20 |
| Entry Date: | 2017 |
| Dokumentencode: | EJ1124741 |
| Datenbank: | ERIC |
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