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        <h1>Datasets and Data Analytics</h1>
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            <p class="card-label">Primary catalog</p>
            <h2 id="catalog-title"><a href="https://splice.cs.vt.edu/datasetcatalog/">SPLICE Dataset Catalog</a></h2>
            <p>The SPLICE Dataset Catalog provides a collection of datasets available from various sources. We welcome contributions of datasets!</p>
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          <h2 id="sources-title" class="page-section-heading"><span class="section-icon"><svg aria-hidden="true" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="1.8"><ellipse cx="12" cy="5" rx="8" ry="3"></ellipse><path d="M4 5v6c0 1.7 3.6 3 8 3s8-1.3 8-3V5M4 11v6c0 1.7 3.6 3 8 3s8-1.3 8-3v-6"></path></svg></span>Current Dataset Sources</h2>
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              <h3><a href="https://pslcdatashop.web.cmu.edu/">DataShop @ CMU</a></h3>
              <p>A current source included in the SPLICE Dataset Catalog.</p>
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              <h3><a href="https://docs.google.com/spreadsheets/d/1ccD5kB8yC8xSoYsWrmfBS0HcSAmesWGOVyID1psywJg/edit?gid=0#gid=0">Open-Source Computing Education Datasets</a></h3>
              <p>A compilation curated by the “Where is the data? Finding and reusing datasets in computing education” CompEd ’23 working group. The group aims to make research data more accessible and encourage open-data practices in the computing education research community.</p>
              <p class="detail-note">Kiesler, Natalie, John Impagliazzo, Katarzyna Biernacka, Amanpreet Kapoor, Zain Kazmi, Sujeeth Goud Ramagoni, Aamod Sane, Keith Tran, Shubbhi Taneja, and Zihan Wu. “Where’s the Data? Exploring Datasets in Computing Education.” <cite>Proceedings of the ACM Conference on Global Computing Education, Vol. 2</cite>, pp. 209–210, 2023.</p>
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          <h2 id="featured-title" class="page-section-heading"><span class="section-icon"><svg aria-hidden="true" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="1.8"><path d="m12 3 2.8 5.7 6.2.9-4.5 4.4 1.1 6.2-5.6-3-5.6 3 1.1-6.2L3 9.6l6.2-.9L12 3Z"></path></svg></span>Featured Datasets</h2>
          <p class="page-intro">These datasets were used to support the listed publications.</p>
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            <article class="content-card"><h3>Demirtas, Fowler, &amp; Cunningham (2024)</h3><p><a href="https://educationaldatamining.org/edm2024/proceedings/2024.EDM-long-papers.5/">Reexamining Learning Curve Analysis in Programming Education: The Value of Many Small Problems</a>. <cite>Proceedings of the 17th International Conference on Educational Data Mining</cite>.</p></article>
            <article class="content-card"><h3>Huang et al. (2023)</h3><p><a href="https://www.lrdc.pitt.edu/schunn/papers/Huang-skillintegration.pdf">Supporting skill integration in an intelligent tutoring system for code tracing</a>.</p></article>
            <article class="content-card"><h3>Rivers et al. (2016)</h3><p><a href="http://www.krivers.net/files/icer2016-paper.pdf">Learning Curve Analysis for Programming: Which Concepts do Students Struggle With?</a> <cite>Proceedings of ICER 2016</cite>.</p></article>
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