How statistics are used in computing education research

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

doi:10.1145/3197091.3205810

How statistics are used in computing education research

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

Department of Human Centred Computing

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Other › peer-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 language	English
Title of host publication	ITiCSE’18 - Proceedings of the 23rd Annual ACM Conference on Innovation and Technology in Computer Science Education
Editors	Irene Polycarpou, Janet C. Read, Panayiotis Andreou, Michal Armoni
Place of Publication	New York NY USA
Publisher	Association for Computing Machinery (ACM)
Pages	381
Number of pages	1
ISBN (Electronic)	9781450357074
DOIs	https://doi.org/10.1145/3197091.3205810
Publication status	Published - 2018
Event	Annual Conference on Innovation and Technology in Computer Science Education 2018 - Larnaca, Cyprus Duration: 2 Jul 2018 → 4 Jul 2018 Conference number: 23rd https://iticse.acm.org/ITiCSE2018/ https://dl.acm.org/doi/proceedings/10.1145/3197091 (Proceedings)

Conference

Conference	Annual Conference on Innovation and Technology in Computer Science Education 2018
Abbreviated title	ITiCSE 2018
Country/Territory	Cyprus
City	Larnaca
Period	2/07/18 → 4/07/18
Internet address	https://iticse.acm.org/ITiCSE2018/ https://dl.acm.org/doi/proceedings/10.1145/3197091 (Proceedings)

Keywords

Methodology
Statistics
Survey

Access to Document

10.1145/3197091.3205810

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

Sanders, Kate ; Hamouda, Sally ; McCartney, Robert et al. / How statistics are used in computing education research. ITiCSE’18 - Proceedings of the 23rd Annual ACM Conference on Innovation and Technology in Computer Science Education. editor / Irene Polycarpou ; Janet C. Read ; Panayiotis Andreou ; Michal Armoni. New York NY USA : Association for Computing Machinery (ACM), 2018. pp. 381

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title = "How statistics are used in computing education research",

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.",

keywords = "Methodology, Statistics, Survey",

author = "Kate Sanders and Sally Hamouda and Robert McCartney and Becker, {Brett A.} and Judy Sheard and Anna Eckerdal and Simon",

year = "2018",

doi = "10.1145/3197091.3205810",

language = "English",

pages = "381",

editor = "Irene Polycarpou and Read, {Janet C.} and Panayiotis Andreou and Michal Armoni",

booktitle = "ITiCSE{\textquoteright}18 - Proceedings of the 23rd Annual ACM Conference on Innovation and Technology in Computer Science Education",

publisher = "Association for Computing Machinery (ACM)",

address = "United States of America",

note = "Annual Conference on Innovation and Technology in Computer Science Education 2018, ITiCSE 2018 ; Conference date: 02-07-2018 Through 04-07-2018",

url = "https://iticse.acm.org/ITiCSE2018/, https://dl.acm.org/doi/proceedings/10.1145/3197091",

}

Sanders, K, Hamouda, S, McCartney, R, Becker, BA, Sheard, J, Eckerdal, A & Simon 2018, How statistics are used in computing education research. in I Polycarpou, JC Read, P Andreou & M Armoni (eds), ITiCSE’18 - Proceedings of the 23rd Annual ACM Conference on Innovation and Technology in Computer Science Education. Association for Computing Machinery (ACM), New York NY USA, pp. 381, Annual Conference on Innovation and Technology in Computer Science Education 2018, Larnaca, Cyprus, 2/07/18. https://doi.org/10.1145/3197091.3205810

How statistics are used in computing education research. / Sanders, Kate; Hamouda, Sally; McCartney, Robert et al.
ITiCSE’18 - Proceedings of the 23rd Annual ACM Conference on Innovation and Technology in Computer Science Education. ed. / Irene Polycarpou; Janet C. Read; Panayiotis Andreou; Michal Armoni. New York NY USA: Association for Computing Machinery (ACM), 2018. p. 381.

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Other › peer-review

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T1 - How statistics are used in computing education research

AU - Sanders, Kate

AU - Hamouda, Sally

AU - McCartney, Robert

AU - Becker, Brett A.

AU - Sheard, Judy

AU - Eckerdal, Anna

AU - Simon, null

N1 - Conference code: 23rd

PY - 2018

Y1 - 2018

N2 - 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.

AB - 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.

KW - Methodology

KW - Statistics

KW - Survey

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U2 - 10.1145/3197091.3205810

DO - 10.1145/3197091.3205810

M3 - Conference Paper

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BT - ITiCSE’18 - Proceedings of the 23rd Annual ACM Conference on Innovation and Technology in Computer Science Education

A2 - Polycarpou, Irene

A2 - Read, Janet C.

A2 - Andreou, Panayiotis

A2 - Armoni, Michal

PB - Association for Computing Machinery (ACM)

CY - New York NY USA

T2 - Annual Conference on Innovation and Technology in Computer Science Education 2018

Y2 - 2 July 2018 through 4 July 2018

ER -

Sanders K, Hamouda S, McCartney R, Becker BA, Sheard J, Eckerdal A et al. How statistics are used in computing education research. In Polycarpou I, Read JC, Andreou P, Armoni M, editors, ITiCSE’18 - Proceedings of the 23rd Annual ACM Conference on Innovation and Technology in Computer Science Education. New York NY USA: Association for Computing Machinery (ACM). 2018. p. 381 doi: 10.1145/3197091.3205810

How statistics are used in computing education research

Abstract

Conference

Keywords

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