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Building an Infrastructure for Computer Science Education Research and Practice at Scale

Authors:

Peter Brusilovsky,

Ken Koedinger,

David A. Joyner,

Thomas W. PriceAuthors Info & Claims

L@S '20: Proceedings of the Seventh ACM Conference on Learning @ Scale

Pages 211 - 213

https://doi.org/10.1145/3386527.3405936

Published: 12 August 2020 Publication History

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Abstract

The goal of this workshop is to bring together the existing community of researchers working on Infrastructure Design for Data-Intensive Research in Computer Science Education and a community of Learning at Scale researchers focused on Computer Science Education. While both communities share many similar goals and could greatly benefit from each other work, the interaction between the communities is small. We hope that the proposed workshop will be instrumental in bringing together like-minded researchers from different communities, establishing collaboration, and expanding the scope of infrastructure project to address critical scaling issues.

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Cited By

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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
Lunn SSamary MHambrusch SYadav A(2022)Forging a Path: Faculty Interviews on the Present and Future of Computer Science Education in the United StatesACM Transactions on Computing Education10.1145/354658122:4(1-24)Online publication date: 15-Sep-2022
https://dl.acm.org/doi/10.1145/3546581

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Building an Infrastructure for Computer Science Education Research and Practice at Scale

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Published In

L@S '20: Proceedings of the Seventh ACM Conference on Learning @ Scale

August 2020

442 pages

ISBN:9781450379519

DOI:10.1145/3386527

General Chair:
David Joyner
Georgia Tech
,
Program Chairs:
Rene Kizilcec
Cornell University
,
Susan Singer
Rollins College

Permission to make digital or hard copies of all or part 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

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Published: 12 August 2020

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L@S '20

L@S '20: Seventh (2020) ACM Conference on Learning @ Scale

August 12 - 14, 2020

Virtual Event, USA

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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
Lunn SSamary MHambrusch SYadav A(2022)Forging a Path: Faculty Interviews on the Present and Future of Computer Science Education in the United StatesACM Transactions on Computing Education10.1145/354658122:4(1-24)Online publication date: 15-Sep-2022
https://dl.acm.org/doi/10.1145/3546581

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Recommendations

Sharing computer science education ideas: Israeli-Russian collaboration

Computer Science Education in North-Rhine Westphalia, Germany—A Case Study

Integrating Computer Science in Elementary Education

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