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The Relative Effectiveness of Teachers and Learning Software: Evidence from a Field Experiment in El Salvador

Author

Listed:
  • Konstantin Büchel
  • Martina Jakob
  • Christoph Kühnhanss
  • Daniel Steffen
  • Aymo Brunetti

Abstract

This study provides novel evidence on the relative effectiveness of computer-assisted learning (CAL) software and traditional teaching. Based on a randomized controlled trial in Salvadoran primary schools, we evaluate three interventions that aim to improve learning outcomes in mathematics: (i) teacher-led classes, (ii) CAL classes monitored by a technical supervisor, and (iii) CAL classes instructed by a teacher. As all three interventions involve the same amount of additional mathematics lessons, we can directly compare the productivity of the three teaching methods. CAL lessons lead to larger improvements in students' mathematics skills than traditional teacher-centered classes. In addition, teachers add little to the effectiveness of learning software. Overall, our results highlight the value of CAL approaches in an environment with poorly qualified teachers.

Suggested Citation

  • Konstantin Büchel & Martina Jakob & Christoph Kühnhanss & Daniel Steffen & Aymo Brunetti, 2020. "The Relative Effectiveness of Teachers and Learning Software: Evidence from a Field Experiment in El Salvador," University of Bern Social Sciences Working Papers 36, University of Bern, Department of Social Sciences.
    • Handle: RePEc:bss:wpaper:36
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    File URL: https://repec.sowi.unibe.ch/files/wp36/Buechel_etal_2020_CAL.pdf
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    Cited by:

    1. Aymo Brunetti & Konstantin Buechel & Martina Jakob & Ben Jann & Christoph Kuehnhanss & Daniel Steffen, 2020. "Teacher Content Knowledge in Developing Countries: Evidence from a Math Assessment in El Salvador," Diskussionsschriften dp2005, Universitaet Bern, Departement Volkswirtschaft.

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    More about this item

    Keywords

    computer-assisted learning; productivity in education; primary education; teacher content knowledge;
    All these keywords.

    JEL classification:

    • C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • O15 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration

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