Third Annual Workshop on A/B Testing and Platform-Enabled Learning Research

Steven Ritter, Neil Heffernan, Joseph Jay Williams, Derek Lomas, Ben Motz, Debshila Basu Mallick, Klinton Bicknell, Danielle McNamara, Rene F. Kizilcec, More Authors

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

1 Citation (Scopus)
9 Downloads (Pure)

Abstract

Learning engineering adds tools and processes to learning platforms to support improvement research. One kind of tool is A/B testing, which is common in large software companies and also represented academically at conferences like the Annual Conference on Digital Experimentation (CODE). A number of A/B testing systems focused on educational applications have arisen recently, including UpGrade and E-TRIALS. A/B testing can be part of the puzzle of how to improve educational platforms, and yet challenging issues in education go beyond the generic paradigm. For example, the importance of teachers and instructors to learning means that students are not only connecting with software as individuals, but also as part of a shared classroom experience. Further, learning in topics like mathematics can be highly dependent on prior learning, and thus A or B may not be better overall, but only in interaction with prior knowledge. In response, a set of learning platforms is opening their systems to improvement research by instructors and/or third-party researchers, with specific supports necessary for education-specific research designs. This workshop will explore how A/B testing in educational contexts is different, how learning platforms are opening up new possibilities, and how these empirical approaches can be used to drive powerful gains in student learning. It will also discuss forthcoming opportunities for funding to conduct platform-enabled learning research.

Original languageEnglish
Title of host publicationL@S 2022 - Proceedings of the 9th ACM Conference on Learning @ Scale
PublisherAssociation for Computing Machinery (ACM)
Pages252-254
Number of pages3
ISBN (Electronic)978-1-4503-9158-0
DOIs
Publication statusPublished - 2022
Event9th Annual ACM Conference on Learning at Scale, L@S 2022 - New York City, United States
Duration: 1 Jun 20223 Jun 2022

Publication series

NameL@S 2022 - Proceedings of the 9th ACM Conference on Learning @ Scale

Conference

Conference9th Annual ACM Conference on Learning at Scale, L@S 2022
Country/TerritoryUnited States
CityNew York City
Period1/06/223/06/22

Bibliographical note

Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care
Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Keywords

  • A/B testing
  • educational software

Fingerprint

Dive into the research topics of 'Third Annual Workshop on A/B Testing and Platform-Enabled Learning Research'. Together they form a unique fingerprint.

Cite this