Maximizing learning without sacrificing the fun: Stealth assessment, adaptivity and learning supports in educational games.

In this study, we investigated the validity of a stealth assessment of physics understanding in an educational game, as well as the effectiveness of different game‐level delivery methods and various in‐game supports on learning. Using a game called Physics Playground, we randomly assigned 263 ninth‐...

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Detalles Bibliográficos
Publicado en:Journal of Computer Assisted Learning Vol. 37; no. 1; pp. 127 - 142
Autores principales: Shute, Valerie, Rahimi, Seyedahmad, Smith, Ginny, Ke, Fengfeng, Almond, Russell, Dai, Chih‐Pu, Kuba, Renata, Liu, Zhichun, Yang, Xiaotong, Sun, Chen
Formato: pictorial research tables/charts randomized controlled trial Journal Article
Publicado: Wiley-Blackwell Feb2021
Acceso en línea:Ver este registro en EBSCOhost
Descripción
Sumario:In this study, we investigated the validity of a stealth assessment of physics understanding in an educational game, as well as the effectiveness of different game‐level delivery methods and various in‐game supports on learning. Using a game called Physics Playground, we randomly assigned 263 ninth‐ to eleventh‐grade students into four groups: adaptive, linear, free choice and no‐treatment control. Each condition had access to the same in‐game learning supports during gameplay. Results showed that: (a) the stealth assessment estimates of physics understanding were valid—significantly correlating with the external physics test scores; (b) there was no significant effect of game‐level delivery method on students' learning; and (c) physics animations were the most effective (among eight supports tested) in predicting both learning outcome and in‐game performance (e.g. number of game levels solved). We included student enjoyment, gender and ethnicity in our analyses as moderators to further investigate the research questions.