Where's the Data? Finding and Reusing Datasets in Computing Education

Computing education research (CER) is a rapidly advancing discipline, offering vast potential for data-driven, secondary research or replication studies. Although gathering and analyzing data for research seem straightforward, making research data publicly available to the community remains a challenge. Likewise, finding and reusing high-quality, prominent, and well-documented research data proves to be a daunting task. In this working group paper, the authors present their search for available datasets in the CER context (e.g., in databases and repositories). The available datasets are further analyzed using a newly developed metadata scheme and presented to the community as a resource. The second component of this work is a summary of the community's perspective and concerns on publishing their research data, which has been gathered through a survey among 52 computing education researchers. Based on this status quo, this report presents recommendations for measures and future steps for the community to become more accessible and establish open data practices. We thus emphasize the potential of making research data available to enhance productivity, transparency, and reproducibility in the CER community.

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Publication Details

Published
2024-09-23
DOI
https://doi.org/10.1145/3598579.3689378
Citations
2
Primary Topic
Scientific Computing and Data Management
Type
article
Field-Weighted Citation Impact
2.10
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article

Where's the Data? Finding and Reusing Datasets in Computing Education

Amanpreet Kapoor, Zain Kazmi, Shubbhi Taneja, Aamod Sane et al.
2 citations
Scientific Computing and Data Management
2.10
article

Where's the Data? Finding and Reusing Datasets in Computing Education

Amanpreet Kapoor, Zain Kazmi, Shubbhi Taneja, Aamod Sane, Katarzyna Biernacka, Natalie Kiesler, John Impagliazzo, Zihan Wu, Keith Tran, Sujeeth Goud Ramagoni
article en
2 citations

Abstract

Computing education research (CER) is a rapidly advancing discipline, offering vast potential for data-driven, secondary research or replication studies. Although gathering and analyzing data for research seem straightforward, making research data publicly available to the community remains a challenge. Likewise, finding and reusing high-quality, prominent, and well-documented research data proves to be a daunting task. In this working group paper, the authors present their search for available datasets in the CER context (e.g., in databases and repositories). The available datasets are further analyzed using a newly developed metadata scheme and presented to the community as a resource. The second component of this work is a summary of the community's perspective and concerns on publishing their research data, which has been gathered through a survey among 52 computing education researchers. Based on this status quo, this report presents recommendations for measures and future steps for the community to become more accessible and establish open data practices. We thus emphasize the potential of making research data available to enhance productivity, transparency, and reproducibility in the CER community.

Marquette University (US), Worcester Polytechnic Institute (US), North Carolina State University (US), Hofstra University (US), University of Michigan (US), North Central State College (US), Flame University (IN), University of Florida (US), Humboldt-Universität zu Berlin (DE), Georg Simon Ohm University of Applied Sciences Nuremberg (DE)
Quality Education
Openalex Percentile: Top 9%
Scientific Computing and Data Management
2.10
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