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

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

Teacher Content Knowledge in Developing Countries: Evidence from a Math Assessment in El Salvador

Education is one of the key resources in the fight against poverty. While substantial progress has been made in terms of school enrollment, evidence suggests that educational quality is still alarmingly low in many developing countries. Various explanations have been suggested, but one very obvious factor in the educational production function has received surprisingly little attention: the content knowledge of teachers. For this study, we administered an exam-type assessment to a representative sample of 224 primary school teachers in Morazán, El Salvador. The average teacher scored 47% correct answers on 50 questions covering the official math curriculum for second to sixth graders. Overall, our results point to an even more worrying situation than suggested by previous findings based on indirect measures of content-related teacher skills in several African countries