abstract

Where's the Data? Exploring Datasets in Computing Education

Authors:

Natalie Kiesler,

John Impagliazzo,

Katarzyna Biernacka,

Amanpreet Kapoor,

Sujeeth Goud Ramagoni,

Shubbhi Taneja,

Zihan WuAuthors Info & Claims

CompEd 2023: Proceedings of the ACM Conference on Global Computing Education Vol 2

Pages 209 - 210

https://doi.org/10.1145/3617650.3624951

Published: 05 December 2023 Publication History

Abstract

This working group aims to identify available datasets within the context of computing education research. One particular area of interest is programming education, and the data in question may include students' steps, progress, or submissions in the form of program code. To achieve this goal, the working group will review well-known data resources and repositories (e.g., DataShop, GitHub, NSF Public Access Repository, and IEEE DataPort) and recent papers published within the SIGCSE community. As a result of the review process, the working group will create an overview of available datasets and characterize them while reflecting on current data practices, challenges, and the consequences of limited access to research data. Additionally, the group intends to propose a path for the community to become more open and move toward open data practices. This proposal highlights the importance of sharing research data within the computing education research community to make it stronger and more productive.

References

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Digital Library

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Digital Library

Cited By

Kiesler NSchiffner DPearson TStrickland CIsrael M(2024)Conferences are Exclusive by NatureProceedings of the 2024 on RESPECT Annual Conference10.1145/3653666.3656077(288-292)Online publication date: 16-May-2024
https://dl.acm.org/doi/10.1145/3653666.3656077
Lohr DKiesler NKeuning HJeuring JMonga MLonati VBarendsen ESheard JPaterson J(2024)"Let Them Try to Figure It Out First" - Reasons Why Experts (Do Not) Provide Feedback to Novice ProgrammersProceedings of the 2024 on Innovation and Technology in Computer Science Education V. 110.1145/3649217.3653530(38-44)Online publication date: 3-Jul-2024
https://dl.acm.org/doi/10.1145/3649217.3653530
Kiesler NImpagliazzo JBiernacka KKapoor AKazmi ZRamagoni SSane ATran KTaneja SWu ZChoppella VPhatak DLuxton-Reilly ACraig M(2024)Where's the Data? Finding and Reusing Datasets in Computing EducationWorking Group Reports on 2023 ACM Conference on Global Computing Education10.1145/3598579.3689378(31-60)Online publication date: 23-Sep-2024
https://dl.acm.org/doi/10.1145/3598579.3689378

Index Terms

Where's the Data? Exploring Datasets in Computing Education
1. General and reference
  1. Cross-computing tools and techniques
2. Social and professional topics
  1. Professional topics
    1. Computing education

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Information & Contributors

Information

Published In

cover image ACM Conferences

CompEd 2023: Proceedings of the ACM Conference on Global Computing Education Vol 2

December 2023

50 pages

ISBN:9798400703744

DOI:10.1145/3617650

General Chairs:
Venkatesh Choppella
IIIT Hyderabad, India
,
Deepak B. Phatak
IIT Bombay, India
,
Program Chairs:
Andrew Luxton-Reilly
University of Auckland, New Zealand
,
Michelle Craig
University of Toronto, Canada

Copyright © 2023 Owner/Author.

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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SIGCSE: ACM Special Interest Group on Computer Science Education

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 05 December 2023

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CompEd 2023

Sponsor:

SIGCSE

CompEd 2023: ACM Global Computing Education Conference 2023

December 5 - 9, 2023

Hyderabad, India

Acceptance Rates

Overall Acceptance Rate 33 of 100 submissions, 33%

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CompEd '25

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sigcse

ACM Global Computing Education Conference 2025

October 21 - 25, 2025

Gaborone , Botswana

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Cited By

Kiesler NSchiffner DPearson TStrickland CIsrael M(2024)Conferences are Exclusive by NatureProceedings of the 2024 on RESPECT Annual Conference10.1145/3653666.3656077(288-292)Online publication date: 16-May-2024
https://dl.acm.org/doi/10.1145/3653666.3656077
Lohr DKiesler NKeuning HJeuring JMonga MLonati VBarendsen ESheard JPaterson J(2024)"Let Them Try to Figure It Out First" - Reasons Why Experts (Do Not) Provide Feedback to Novice ProgrammersProceedings of the 2024 on Innovation and Technology in Computer Science Education V. 110.1145/3649217.3653530(38-44)Online publication date: 3-Jul-2024
https://dl.acm.org/doi/10.1145/3649217.3653530
Kiesler NImpagliazzo JBiernacka KKapoor AKazmi ZRamagoni SSane ATran KTaneja SWu ZChoppella VPhatak DLuxton-Reilly ACraig M(2024)Where's the Data? Finding and Reusing Datasets in Computing EducationWorking Group Reports on 2023 ACM Conference on Global Computing Education10.1145/3598579.3689378(31-60)Online publication date: 23-Sep-2024
https://dl.acm.org/doi/10.1145/3598579.3689378

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