No significant correlations between contextual emotion differences and overall game score after Holm-Bonferroni correction¶

Claim · All claims
Evidence · 1 study · associational r1 · q3
Currency · newest study 2019 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q3 i? Across nine Pearson correlations between emotion-difference scores and overall game score, none remained significant after Holm-Bonferroni correction (e.g., During Book Joy r = 0.253, p = 0.049). → Michelle Taub 2019

Evidence¶

Michelle Taub 2019¶

Michelle Taub, Robert Sawyer, James Lester, Roger Azevedo. (2019). The Impact of Contextualized Emotions on Self-Regulated Learning and Scientific Reasoning during Learning with a Game-Based Learning Environment. International Journal of Artificial Intelligence in Education. https://doi.org/10.1007/s40593-019-00191-1

q3 · i? · associational · r1

Pearson correlation tests (nine total) between contextual emotion differences and overall game score in the CRYSTAL ISLAND study. The article reports "no correlations were significant" after correction, attributing this to "the small sample size", noise, or non-linear relationships. H2 was not supported.

"the Holm-Bonferroni method for family-wise error rates indicates that no correlations were significant. This could be due to the small sample size, noise contained within the proportions, or non-linear relation- ships between emotion difference and overall game score."

Discussion¶

Learner Variables¶

• Emotional Intelligence — predictor: learners who differ on it differ in outcomes

Related Claims¶

• Joy during relevant book reading and confusion after positive scans positively predicted overall game score, while total worksheet submissions negatively predicted it — related
• Adding contextualized emotion features to a worksheet-submission baseline model significantly improved prediction of overall game score — related