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| 5 | + <title>SPLICE: Datasets and Data Analytics</title> |
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| 7 | + </head> |
| 8 | + |
| 9 | + <body> |
| 10 | + <div id="content"> |
| 11 | + <h1>Datasets and Data Analytics</h1> |
| 12 | + |
| 13 | + <p> |
| 14 | + A primary mission for SPLICE is to support |
| 15 | + infrastructure to collect educational datasets, make them |
| 16 | + available to researchers, and provide appropriate analysis |
| 17 | + tools. |
| 18 | + </p> |
| 19 | + |
| 20 | + <p> |
| 21 | + The <a href="https://splice.cs.vt.edu/datasetcatalog/"> |
| 22 | + SPLICE Dataset Catalog</a> provides a collection of datasets |
| 23 | + available from various sources. We welcome contributions of |
| 24 | + datasets! |
| 25 | + </p> |
| 26 | + <p> |
| 27 | + Here are our current dataset sources: |
| 28 | + </p> |
| 29 | + <ul> |
| 30 | + <li><a href="https://pslcdatashop.web.cmu.edu/">Datashop</a>@CMU</li> |
| 31 | + <li>A compilation of open-source datasets in computing |
| 32 | + education, curated by the "Where is the data? Finding and |
| 33 | + reusing datasets in computing education" CompEd 23' working |
| 34 | + group. The working group aims to make research data more |
| 35 | + accessible and encourage open data practices in the computing |
| 36 | + education research (CER) community. For more information, |
| 37 | + please refer to the working group's paper: Kiesler, Natalie, |
| 38 | + John Impagliazzo, Katarzyna Biernacka, Amanpreet Kapoor, Zain |
| 39 | + Kazmi, Sujeeth Goud Ramagoni, Aamod Sane, Keith Tran, Shubbhi |
| 40 | + Taneja, and Zihan Wu. "Where's the Data? Exploring Datasets in |
| 41 | + Computing Education." In Proceedings of the ACM Conference on |
| 42 | + Global Computing Education Vol 2, pp. 209-210. 2023.</li> |
| 43 | + </ul> |
| 44 | + |
| 45 | + Some featured datasets: These are datasets used to support the |
| 46 | + listed publications. |
| 47 | + <ul> |
| 48 | + <li>Demirtas, Fowler, & Cunningham (2024). |
| 49 | + <a href="https://educationaldatamining.org/edm2024/proceedings/2024.EDM-long-papers.5/">Reexamining Learning Curve Analysis in Programming |
| 50 | + Education: The Value of Many Small Problems.</a> |
| 51 | + In <i>Proceedings of the 17th International Conference on |
| 52 | + Educational Data Mining.</i></li> |
| 53 | + <li>Huang et al (2023), |
| 54 | + <a href="https://www.lrdc.pitt.edu/schunn/papers/Huang-skillintegration.pdf"> |
| 55 | + Supporting skill integration in an intelligent |
| 56 | + tutoring system for code tracing.</a></li> |
| 57 | + <li> Rivers et al (2016), |
| 58 | + <a href="http://www.krivers.net/files/icer2016-paper.pdf"> |
| 59 | + Learning Curve Analysis for Programming: Which Concepts do Students Struggle With?</a> |
| 60 | + <i>Proceedings of ICER 2016</i>. |
| 61 | + |
| 62 | + |
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| 66 | + <a href="mailto:cssplice@gmail.com">Contact us</a> |
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