Divergent Play: Assessing Assets Through Educational Gameplay (Poster 32)

• In Event: AERA Poster Session Sunday 11:40 a.m.
  In Poster Session: Learning Environments and Pedagogical Strategies

Abstract

Game-based assessment (GBA) often centers on separating learners based on proficiency or attainment of a given construct. In this work, we consider how GBA methods may be reenvisioned with influences from data feminism and neurodiversity studies to pursue a broader, asset-based description of player learners. Using extensive literature review and evidence-centered design practices, we developed an asset-based model for learners in Shadowspect, a previously validated GBA. We collected interaction logs from undergraduate students of various neurotypes who were recruited to play the game and developed holistic models. Through this process we recognize a duality of assets and thus features of the data that would benefit scholars to consider when developing future GBA.

Authors

• Jennifer Scianna, University of Wisconsin - Madison

• Rumeysa Gorgulu, Purdue University

• Yahan Chen, University of Wisconsin - Madison

• YJ Kim, University of Adelaide