Preparing for the future of work: Building an informal learning community about intelligent technologies in poor neighborhoods

Lu Xiao, Charis Asante-Agyei

Research output: Contribution to journalArticlepeer-review

Abstract

As intelligent machines continue to shape current and future work, low-income families are expected to be the most negatively affected. To sustainably help low-income families be better prepared for a future of working with intelligent machines, we are building an informal learning community in a poor neighborhood where we engage children and parents through a robotics club. We report our community building progress and the interviews we conducted with the children and their parents.

Original languageEnglish (US)
Article numbere404
JournalProceedings of the Association for Information Science and Technology
Volume57
Issue number1
DOIs
StatePublished - 2020

Keywords

  • community informatics
  • future of work
  • low-income families
  • robotics

ASJC Scopus subject areas

  • Computer Science(all)
  • Library and Information Sciences

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