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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