Claims

Post-game competence, effort, and deep-learning strategy use correlate significantly with pre-game measures, but interest does not

Claim · All claims
Evidence · 1 study · causal r1 · q2 · i3 large
Currency · newest study 2015 · not yet checked against its sources · not reviewed by a person

Subclaims

Reading the evidence codes

q is the design tier, i the impact, n the sample, and the kind with its r the rigour judged within that kind: what each code means.

This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.

q2 i3 Pearson correlations showed post-game competence (r = 0.52), effort (r = 0.45), and strategy use (r = 0.59) significantly correlated with pre-game measures (p < 0.01), while interest did not (r = 0.22, p > 0.01). → Tung Nhu Nguyen 2015

Evidence

Tung Nhu Nguyen 2015

Tung Nhu Nguyen. (2015). Motivational Effect of Web-Based Simulation Game in Teaching Operations Management. Journal of Education and Training Studies, 3(2). https://doi.org/10.11114/jets.v3i2.565

q2 · i3 · causal · r1

Pearson correlation analysis of pre-game and post-game questionnaire scales in the 53-student sample, used to test measurement stability; correlations "competence r = 0.52", effort r = 0.45, strategy r = 0.59, and interest r = 0.22 (not significant).

"post -game competence, effort, and deep -learning strategy use were significantly correlated with pre -game competence, effort, and deep-learning strategy use (competence r = 0.52, p <0.01; effort r = 0.45, p < 0.01; strategy r = 0.59, p < 0.01). Only the “interest” measure did not show a significant correlation before and after the game (r = 0.22, p > 0.01)."

Discussion

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