Open PISA: Dashboard for Large Educational Dataset

Avner Kantor; Sheizaf Rafaeli

doi:10.1145/3386527.3406721

Open PISA: Dashboard for Large Educational Dataset

Avner Kantor, Sheizaf Rafaeli

School Of Business Administration

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-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 language	English
Title of host publication	L@S 2020 - Proceedings of the 7th ACM Conference on Learning @ Scale
Publisher	Association for Computing Machinery
Pages	253-256
Number of pages	4
ISBN (Electronic)	9781450379519
DOIs	https://doi.org/10.1145/3386527.3406721
State	Published - 12 Aug 2020
Event	7th Annual ACM Conference on Learning at Scale, L@S 2020 - Virtual, Online, United States Duration: 12 Aug 2020 → 14 Aug 2020

Publication series

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

Conference

Conference	7th Annual ACM Conference on Learning at Scale, L@S 2020
Country/Territory	United States
City	Virtual, Online
Period	12/08/20 → 14/08/20

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

Access to Document

10.1145/3386527.3406721

Cite this

@inproceedings{dcef74e9763a42849dc71f40f263d3fd,

title = "Open PISA: Dashboard for Large Educational Dataset",

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.",

keywords = "citizen science, dashboards, international large-scale assessments, pisa, statistical literacy, visualizations",

author = "Avner Kantor and Sheizaf Rafaeli",

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: {\textcopyright} 2020 ACM.; 7th Annual ACM Conference on Learning at Scale, L@S 2020 ; Conference date: 12-08-2020 Through 14-08-2020",

year = "2020",

month = aug,

day = "12",

doi = "10.1145/3386527.3406721",

language = "English",

series = "L@S 2020 - Proceedings of the 7th ACM Conference on Learning @ Scale",

publisher = "Association for Computing Machinery",

pages = "253--256",

booktitle = "L@S 2020 - Proceedings of the 7th ACM Conference on Learning @ Scale",

}

Kantor, A & Rafaeli, S 2020, Open PISA: Dashboard for Large Educational Dataset. in L@S 2020 - Proceedings of the 7th ACM Conference on Learning @ Scale. L@S 2020 - Proceedings of the 7th ACM Conference on Learning @ Scale, Association for Computing Machinery, pp. 253-256, 7th Annual ACM Conference on Learning at Scale, L@S 2020, Virtual, Online, United States, 12/08/20. https://doi.org/10.1145/3386527.3406721

Open PISA: Dashboard for Large Educational Dataset. / Kantor, Avner ; Rafaeli, Sheizaf.
L@S 2020 - Proceedings of the 7th ACM Conference on Learning @ Scale. Association for Computing Machinery, 2020. p. 253-256 (L@S 2020 - Proceedings of the 7th ACM Conference on Learning @ Scale).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Open PISA

T2 - 7th Annual ACM Conference on Learning at Scale, L@S 2020

AU - Kantor, Avner

AU - Rafaeli, Sheizaf

N1 - 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.

PY - 2020/8/12

Y1 - 2020/8/12

N2 - 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.

AB - 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.

KW - citizen science

KW - dashboards

KW - international large-scale assessments

KW - pisa

KW - statistical literacy

KW - visualizations

UR - http://www.scopus.com/inward/record.url?scp=85094119335&partnerID=8YFLogxK

U2 - 10.1145/3386527.3406721

DO - 10.1145/3386527.3406721

M3 - Conference contribution

AN - SCOPUS:85094119335

T3 - L@S 2020 - Proceedings of the 7th ACM Conference on Learning @ Scale

SP - 253

EP - 256

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

PB - Association for Computing Machinery

Y2 - 12 August 2020 through 14 August 2020

ER -

Open PISA: Dashboard for Large Educational Dataset

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this