What Have We Talked About?
Pages 175 - 180
Abstract
The SIGCSE-Members listserv has been archiving posts by the Computer Science Education community for the past 22 years. This paper characterizes the post collection, in order to better understand the nature of the community from a quantitative perspective. We apply a number of email mining techniques, including a topical analysis through N-grams. Threads, posters, and posts are characterized in terms of duration and temporally. We also demonstrate how emails from the listserv can be successfully classified using machine learning algorithms, and report on an unsuccessful attempt to predict thread popularity. All of the scripts we used to collect, process, and analyze the data are freely available in the hopes that other researchers will replicate, refine, and extend our results.
References
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Anders Berglund and Raymond Lister. Debating the OO Debate: Where is the Problem?. In Proceedings of the Seventh Baltic Sea Conference on Computing Education Research - Volume 88 (Koli Calling '07). 171--174.
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Christian Bird, Alex Gourley, Prem Devanbu, Michael Gertz, and Anand Swaminathan. Mining email social networks. In Proceedings of the 2006 international workshop on Mining software repositories. 137--143.
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Kim B Bruce. 2004. Controversy on how to teach CS 1: a discussion on the SIGCSE-members mailing list. In ACM SIGCSE Bulletin, Vol. 36. 29--34.
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Curtis R. Cook. CS0: Computer Science Orientation Course (SIGCSE '97). 87--91.
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Bryan Klimt and Yiming Yang. 2004. The enron corpus: A new dataset for email classification research. Machine learning: ECML 2004 (2004), 217--226.
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F. Pedregosa, G. Varoquaux, A. Gramfort, V. Michel, B. Thirion, O. Grisel, M. Blondel, P. Prettenhofer, R. Weiss, V. Dubourg, J. Vanderplas, A. Passos, D. Cournapeau, M. Brucher, M. Perrot, and E. Duchesnay. 2011. Scikit-learn: Machine Learning in Python. Journal of Machine Learning Research, Vol. 12 (2011), 2825--2830.
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Samuel Rebelsky and William J. Turner. 2017. Mailing Lists. http://sigcse.org/sigcse/membership/mailing-lists . (2017). Accessed: 2017-08--18.
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Information & Contributors
Information
Published In
February 2019
1364 pages
ISBN:9781450358903
DOI:10.1145/3287324
- General Chairs:
- Elizabeth K. Hawthorne,
- Manuel A. Pérez-Quiñones,
- Program Chairs:
- Sarah Heckman,
- Jian Zhang
Copyright © 2019 ACM.
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Association for Computing Machinery
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Published: 22 February 2019
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SIGCSE '19
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SIGCSE '19: The 50th ACM Technical Symposium on Computer Science Education
February 27 - March 2, 2019
MN, Minneapolis, USA
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SIGCSE '19 Paper Acceptance Rate 169 of 526 submissions, 32%;
Overall Acceptance Rate 1,787 of 5,146 submissions, 35%
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