Literature DB >> 35697792

Experimental evidence on learning using low-tech when school is out.

Noam Angrist1,2,3, Peter Bergman4,5, Moitshepi Matsheng6,7.   

Abstract

School closures occurred extensively during the COVID-19 pandemic, and occur in other settings, such as teacher strikes and natural disasters. The cost of school closures has proven to be substantial, particularly for households of lower socioeconomic status, but little evidence exists on how to mitigate these learning losses. This paper provides experimental evidence on strategies to support learning when schools close. We conduct a large-scale randomized trial testing two low-technology interventions-SMS messages and phone calls-with parents to support their child in Botswana. The combined treatment improves learning by 0.12 standard deviations, which translates to 0.89 standard deviations of learning per US$100, ranking among the most cost-effective interventions to improve learning. We develop remote assessment innovations, which show robust learning outcomes. Our findings have immediate policy relevance and long-run implications for the role of technology and parents to support education provision during school disruptions.
© 2022. The Author(s), under exclusive licence to Springer Nature Limited.

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Year:  2022        PMID: 35697792     DOI: 10.1038/s41562-022-01381-z

Source DB:  PubMed          Journal:  Nat Hum Behav        ISSN: 2397-3374


  1 in total

1.  Can peer mentoring improve online teaching effectiveness? An RCT during the COVID-19 pandemic.

Authors:  David Hardt; Markus Nagler; Johannes Rincke
Journal:  Labour Econ       Date:  2022-07-04
  1 in total

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