Open PISA: Dashboard for Large Educational Dataset

Avner Kantor, Sheizaf Rafaeli

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

Abstract

International Large-Scale Assessments (ILSA) have a critical role in shaping education systems around the world. They impact local and national education policy and receive much attention in the media and the public discourse. However, the public has limited access to the results and cannot learn from them. Subsequently, the media might frame the results incorrectly. The transparency of ILSA is essential to the advancement of the public discourse. It requires easy access to data together with simple analysis tools. However, the complexity of ILSA makes it hard to understand and to analyze. Open PISA tries to deal with this challenge by developing a dashboard for the Program for International Student Assessment (PISA). It aims to guide users in the analysis of the dataset. This paper describes the dashboard design and insight based on collected users' responses. It hypothesizes that full transparency of the PISA dataset might be not achievable to the entire public. Further research is needed to evaluate how dataset analysis affects users' knowledge and opinions.

Original languageEnglish
Title of host publicationL@S 2020 - Proceedings of the 7th ACM Conference on Learning @ Scale
PublisherAssociation for Computing Machinery
Pages253-256
Number of pages4
ISBN (Electronic)9781450379519
DOIs
StatePublished - 12 Aug 2020
Event7th Annual ACM Conference on Learning at Scale, L@S 2020 - Virtual, Online, United States
Duration: 12 Aug 202014 Aug 2020

Publication series

NameL@S 2020 - Proceedings of the 7th ACM Conference on Learning @ Scale

Conference

Conference7th Annual ACM Conference on Learning at Scale, L@S 2020
Country/TerritoryUnited States
CityVirtual, Online
Period12/08/2014/08/20

Bibliographical note

Funding Information:
Much appreciation to the people who provided helpful comments during the development of the dashboard design. The authors gratefully acknowledge the grant of the Trump Foundation for the dashboard development and scholarships, the support of the AllCloud company for cloud hosting, and the infographics advising of the Infoserviz company.

Publisher Copyright:
© 2020 ACM.

Keywords

  • citizen science
  • dashboards
  • international large-scale assessments
  • pisa
  • statistical literacy
  • visualizations

ASJC Scopus subject areas

  • Software
  • Computer Networks and Communications

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