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Investigating the Utility of Graphics in Teaching Data Wrangling

Published: 07 August 2020 Publication History

Abstract

Programming is increasingly being taught in statistics modules across various departments, where the focus is on wrangling data in languages like Python and R. Graphical aids as applied to this domain is an empirically untried approach. My research investigates their utility in relation to several subject characteristics and outcome variables.

References

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Richard E Mayer. 2017. Using multimedia for e-learning. Journal of Computer Assisted Learning 33, 5 (2017), 403--423.
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Briana B Morrison, Lauren E Margulieux, and Mark Guzdial. 2015. Subgoals, context, and worked examples in learning computing problem solving. In ICER 2015 Proceedings of the eleventh annual international conference on international computing education research. ICER, 21--29.
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Rajeev K Pandey and Margaret M Burnett. 1993. Is it easier to write matrix manipulation programs visually or textually? An empirical study. In Proceedings 1993 IEEE Symposium on Visual Languages. IEEE, 344--351.
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Juha Sorva, Ville Karavirta, and Lauri Malmi. 2013. A review of generic program visualization systems for introductory programming education. ACM Transactions on Computing Education (TOCE) 13, 4 (2013), 1--64.
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Published In

cover image ACM Conferences
ICER '20: Proceedings of the 2020 ACM Conference on International Computing Education Research
August 2020
364 pages
ISBN:9781450370929
DOI:10.1145/3372782
Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 07 August 2020

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Author Tags

  1. cs education
  2. data science
  3. data wrangling
  4. graphics
  5. programming instruction
  6. python
  7. r
  8. sql

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  • Abstract

Funding Sources

  • Engineering and Physical Sciences Research Council (EPSRC)

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ICER '20
Sponsor:
ICER '20: International Computing Education Research Conference
August 1 - 5, 2020
Virtual Event, New Zealand

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Overall Acceptance Rate 189 of 803 submissions, 24%

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ICER 2025
ACM Conference on International Computing Education Research
August 3 - 6, 2025
Charlottesville , VA , USA

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