Emergency Remote Education in Nigeria: Challenges and Design Opportunities

Rebecca Nicholson*, Rebecca Strachan, Opeyemi Dele-Ajayi, Kemi Fasae

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

There are currently approximately 20.2 million children in Nigeria out of school, exacerbated by ongoing conflicts demonstrating an ongoing need for Emergency Remote Education (ERE). Despite this, Nigeria remains an under-explored context and the specific challenges of providing ERE there are not fully understood. This paper reports on a mixed methods study of teachers experiences of enacting ERE in Nigeria in April 2020 with a questionnaire (n=374), diary study and follow up interviews (n=20) carried out. The contributions of the paper are two-fold; firstly, an in-depth study of ERE in Nigeria, demonstrating that teachers used WhatsApp as a tool of practical necessity, configured it to create a continued sense of place, and continued to enact largely traditional pedagogies. Secondly, through reflection on these findings, we offer initial design considerations for technology use in ERE in low resource settings before outlining continuing design challenges for HCI researchers in this context.
Original languageEnglish
Title of host publicationCHI '24: Proceedings of the CHI Conference on Human Factors in Computing Systems
EditorsFlorian Floyd Mueller, Penny Kyburz, Julie R. Williamson, Corina Sas, Max L. Wilson, Phoebe Toups Dugas, Irina Shklovski
Place of PublicationNew York, US
PublisherACM
Pages1–14
Number of pages14
ISBN (Print)9798400703300
DOIs
Publication statusPublished - 11 May 2024
EventCHI 2024: Surfing the World - Hawaiʻi Convention Center, Honolulu, United States
Duration: 11 May 202416 May 2024
https://chi2024.acm.org

Conference

ConferenceCHI 2024
Abbreviated titleACM CHI 2024
Country/TerritoryUnited States
CityHonolulu
Period11/05/2416/05/24
Internet address

Keywords

  • Emergency Remote Education
  • Nigeria
  • Low Resource Settings
  • Mobile Learning

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