How statistics are used in computing education research

Kate Sanders, Sally Hamouda, Robert McCartney, Brett A. Becker, Judy Sheard, Anna Eckerdal, Simon

Research output: Chapter in Book/Report/Conference proceedingConference PaperOtherpeer-review

Abstract

Conferences such as ITiCSE have recently seen an increase in the number of papers presenting empirical research in computing education. While empirical research need not be quantitative, there has been a corresponding increase in the number of papers that present some level of statistical analysis to support their arguments. This poster introduces a project that is exploring how – and how well – statistics are used and reported in computing education research.

Original languageEnglish
Title of host publicationITiCSE’18 - Proceedings of the 23rd Annual ACM Conference on Innovation and Technology in Computer Science Education
EditorsIrene Polycarpou, Janet C. Read, Panayiotis Andreou, Michal Armoni
Place of PublicationNew York NY USA
PublisherAssociation for Computing Machinery (ACM)
Pages381
Number of pages1
ISBN (Electronic)9781450357074
DOIs
Publication statusPublished - 2018
EventAnnual Conference on Innovation and Technology in Computer Science Education 2018 - Larnaca, Cyprus
Duration: 2 Jul 20184 Jul 2018
Conference number: 23rd
https://iticse.acm.org/ITiCSE2018/

Conference

ConferenceAnnual Conference on Innovation and Technology in Computer Science Education 2018
Abbreviated titleITiCSE 2018
CountryCyprus
CityLarnaca
Period2/07/184/07/18
Internet address

Keywords

  • Methodology
  • Statistics
  • Survey

Cite this

Sanders, K., Hamouda, S., McCartney, R., Becker, B. A., Sheard, J., Eckerdal, A., & Simon (2018). How statistics are used in computing education research. In I. Polycarpou, J. C. Read, P. Andreou, & M. Armoni (Eds.), ITiCSE’18 - Proceedings of the 23rd Annual ACM Conference on Innovation and Technology in Computer Science Education (pp. 381). Association for Computing Machinery (ACM). https://doi.org/10.1145/3197091.3205810