Characterising computational thinking in mathematics education: a literature-informed Delphi study

Dataset

DOI

This dataset is related to the following paper: Kallia, M., van Borkulo, S. P., Drijvers, P., Barendsen, E., & Tolboom, J. (2021). Characterising computational thinking in mathematics education: A literature-informed Delphi study. Research in Mathematics Education, 23(2), 159–187. https://doi.org/10.1080/14794802.2020.1852104

Identifier
DOI	https://doi.org/10.17026/SS/ZHECSL
Metadata Access	https://ssh.datastations.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.17026/SS/ZHECSL

Provenance
Creator	van Borkulo, Sylvia
Publisher	DANS Data Station Social Sciences and Humanities
Contributor	van Borkulo, Sylvia
Publication Year	2024
Funding Reference	NRO (Netherlands Initiative for Education Research) project number 00517751
Rights	CC-BY-NC-ND-4.0; info:eu-repo/semantics/openAccess; http://creativecommons.org/licenses/by-nc-nd/4.0
OpenAccess	true
Contact	van Borkulo, Sylvia (Utrecht University)

Representation
Resource Type	Dataset
Format	application/vnd.oasis.opendocument.spreadsheet; text/tab-separated-values
Size	19380; 1540; 2741; 2179; 1641; 1139
Version	1.0
Discipline	Agriculture, Forestry, Horticulture, Aquaculture; Agriculture, Forestry, Horticulture, Aquaculture and Veterinary Medicine; Life Sciences; Social Sciences; Social and Behavioural Sciences; Soil Sciences