Making Sense of Game-based User Data: Learning Analytics in Applied Games

نویسندگان

  • Christina M. Steiner
  • Michael D. Kickmeier-Rust
  • Dietrich Albert
چکیده

Digital learning games are useful educational tools with high motivational potential. With the application of games for instruction there comes the need of acknowledging learning game experiences also in the context of educational assessment. Learning analytics provides new opportunities for supporting assessment in and of educational games. We give an overview of current learning analytics methods in this field and reflect on existing challenges. An approach of providing reusable software assets for interaction assessment and evaluation in games is presented. This is part of a broader initiative of making available advanced methodologies and tools for supporting applied game development.

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تاریخ انتشار 2015