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Table 3 Number of students participating in study 1 on student learning structured according to the number of complete observations according for each data subset considered: pre- (January) and post-test (June) data, teacher adoption data (at the time of the post-test, June), teacher perception data (at the time of the pre-test, January)

From: How are primary school computer science curricular reforms contributing to equity? Impact on student learning, perception of the discipline, and gender gaps

  

Number of students per grade

Data subset

Grade

Boys

Girls

Total

0. Pre-test (January) or post-test (June) data

Grade 3

357

313

670

(\(n_{\text{classes}}=83\))

Grade 4

363

351

714

 

All grades

720

664

1384

1. Pre-test (January) or post-test (June) data

Grade 3

332

297

629

(\(n_{\text{classes}}=74\))—study 1a

Grade 4

353

337

690

 

All grades

685

634

1319

2. Pre-test (January) or post-test (June) data and adoption data

Grade 3

256

224

480

(\(n_{\text{classes}}=55\))—study 1b

Grade 4

265

244

509

 

All grades

521

468

989

3. Pre-test (January) or post-test (June) data and adoption data and perception data

Grade 3

207

186

393

(\(n_{\text{classes}}=43\))—study 1c

Grade 4

207

173

380

 

All grades

414

359

773

4. Pre-test (January) or post-test (June) data and perception data

Grade 3

257

238

495

(\(n_{\text{classes}}=55\))—study 1c

Grade 4

262

232

494

 

All grades

519

470

989