A central challenge to educational videogame research is capturing salient in-game data on play and learning. ADAGE (Assessment Data Aggregator for Game Environments) is a click-stream data framework currently being developed by the Games+Learning+Society group to facilitate standardized collection of in-game assessment data across games. ADAGE integrates core game design structures into a click-stream data (telemetry) schema, which is then seeded with context vital to informing learning analyses. These data can be used to identify patterns in play within and across players (using data mining and learning analytic techniques) as well as statistical methods for testing hypotheses that compare play to content models (cf. Loh, 2013; Halverson & Owen, in press). ADAGE assessment structures also inform iterative, data-driven design of GLS games. Overall, ADAGE provides a standardized game telemetry framework with a rich, method-agnostic data yield, efficient enough to have scalability, and flexible enough to use across games.
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