Gender, gaming frequency, and physics knowledge were not significant predictors of persistence¶

Claim · All claims
Evidence · 1 study · associational r2 · q2
Currency · newest study 2021 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q2 i? Gaming frequency, gender, physics knowledge, and posttest scores did not significantly predict persistence, contrary to the authors' hypotheses. → Rahimi 2021

Evidence¶

Rahimi 2021¶

Rahimi, S., Shute, V., & Zhang, Q. (2021). The effects of game and student characteristics on persistence in educational games: A hierarchical linear modeling approach. International Journal of Technology in Education and Science (IJTES), 5(2), 141-165. https://doi.org/10.46328/ijtes.118

q2 · i? · associational · r2

In the exploratory level-2 analysis, gender was included in the model but showed no significant difference between boys and girls for the intercept; the authors state these findings run against their hypotheses about student-related variables and attribute them possibly to study limitations.

"Several student-level (level-2) predictors, such as gaming frequency, gender, physics knowledge, and post-test, were not significant predictors of persistence, which could be due to this study's limitations"

Discussion¶

Related Claims¶

• A game-based assessment of persistence predicts physics post-test gains for low-performing players after controlling for background and enjoyment — related
• The GAP correlates with an independent performance-based persistence measure and with physics post-test scores, supporting construct validity — related
• Game mechanics difficulty positively predicts persistence in Physics Playground problems — related