Skip to main content

Table 3 Post-recitation scores were mostly influenced by pre-recitation scores, but not class section

From: Genie: an interactive real-time simulation for teaching genetic drift

Query Predictor SE z-score p-value
Pre-recitation scores differences across Genie 2016, Genie 2017, and Non-Genie 2017 Genie 2017 0.104 9.241  < 2 × 10–16±
Non-Genie 2017 0.102 5.081 3.75 × 10–07±
Post-recitation scores dependence on the pre-recitation scores and class (Genie 2016, Genie 2017, and Non-Genie 2017) Pre-recitation scores 0.237 14.55  < 2 × 10–16±
Genie 2017 0.103 4.948 7.51 × 10–07±
Non-Genie 2017 0.099 2.847 0.004±
Post-recitation scores of 2016 dependence on the pre-recitation scores and the class section Pre-recitation score 0.391 8.17 3.08 × 10–16±
TA Pair1 4:30 pm 0.217 − 1.764 0.078
TA Pair1 6:00 pm 0.233 − 0.702 0.483
TA Pair1 7:30 pm 0.285 − 2.387 0.017±
TA Pair2 3:00 pm 0.226 1.366 0.172
TA Pair2 4:30 pm 0.205 − 0.468 0.64
TA Pair2 6:00 pm 0.234 − 1.433 0.152
TA Pair2 7:30 pm 0.242 0.213 0.831
Post-recitation scores dependence on pre-recitation scores and Genie 2017class sections Pre-recitation score 0.452 7.797 6.64 × 10–15±
TA Pair1 7:00 pm 0.21 − 0.996 0.319
TA Pair2 1:30 pm 0.209 − 0.152 0.879
TA Pair2 7:00 pm 0.223 0.026 0.98
Post-recitation scores dependence on pre-recitation scores and Non-Genie 2017 class sections Pre-recitation score 0.37 9.695  < 2 × 10–16±
TA Pair1 4:30 pm 0.194 − 0.116 0.907
TA Pair2 3:00 pm 0.188 1.75 0.08
TA Pair2 4:30 pm 0.19 − 0.659 0.509
  1. The Beta regression tests of pre- and post-recitation scores for specific queries, including the predictors, standard errors (SE), z-scores, and p-values
  2. ±Significant p-values