Second Workshop on Educational A/B Testing at Scale

Steve Ritter, Neil Heffernan, Joseph Jay Williams, Derek Lomas, Klinton Bicknell

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

1 Citation (Scopus)
55 Downloads (Pure)

Abstract

The emerging discipline of Learning Engineering is focused on putting into place tools and processes that use the science of learning as a basis for improving educational outcomes. An important part of Learning Engineering focuses on improving the effectiveness of educational software. In many software domains, A/B testing has become a prominent technique to achieve the software's goals. Many large companies (Amazon, Google, Facebook, etc.) run thousands of AB tests and present at the Annual Conference on Digital Experimentation (CODE), but that venue is too broad to address AB testing issues specific to EdTech platforms. We see a need to address issues with running large-scale A/B tests within the educational context, where the use of A/B testing lags other industries. This workshop will explore ways in which A/B testing in educational contexts differs from other domains and proposals to overcome current challenges so that this approach can become a more useful tool in the learning engineer's toolbox.

Original languageEnglish
Title of host publicationL@S 2021 - Proceedings of the 8th ACM Conference on Learning @ Scale
PublisherAssociation for Computing Machinery (ACM)
Pages311-314
Number of pages4
ISBN (Electronic)9781450382151
DOIs
Publication statusPublished - 2021
Event8th Annual ACM Conference on Learning at Scale, L@S 2021 - Virtual, Online, Germany
Duration: 22 Jun 202125 Jun 2021

Publication series

NameL@S 2021 - Proceedings of the 8th ACM Conference on Learning @ Scale

Conference

Conference8th Annual ACM Conference on Learning at Scale, L@S 2021
Country/TerritoryGermany
CityVirtual, Online
Period22/06/2125/06/21

Keywords

  • a/b testing
  • educational software
  • experimentation

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