How well centrality measures capture student achievement in computer-supported collaborative learning? – A systematic review and meta-analysis

Mohammed Saqr; Ramy Elmoazen; Matti Tedre; Sonsoles López-Pernas; Laura Hirsto

doi:10.1016/j.edurev.2022.100437

How well centrality measures capture student achievement in computer-supported collaborative learning? – A systematic review and meta-analysis

Mohammed Saqr, Ramy Elmoazen, Matti Tedre, Sonsoles López-Pernas, Laura Hirsto

Research output: Contribution to journal › Article › Scientific › peer-review

Original language	English
Article number	100437
Journal	Educational research review
Volume	35
Pages (from-to)	1-16
Number of pages	16
ISSN	1747-938X
DOIs	https://doi.org/10.1016/j.edurev.2022.100437
Publication status	Published - 2022
Externally published	Yes
MoE publication type	A1 Journal article-refereed

Fields of Science

516 Educational sciences
113 Computer and information sciences

Access to Document

10.1016/j.edurev.2022.100437Licence: CC BY

OAHOT: Utilization of learning analytics in the various educational levels and contexts for supporting self-regulated learning (OAHOT)
Hirsto, L. (Project manager)
01/01/2020 → 30/11/2022
Project: Research project

Cite this

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title = "How well centrality measures capture student achievement in computer-supported collaborative learning? – A systematic review and meta-analysis",

keywords = "516 Educational sciences, 113 Computer and information sciences",

author = "Mohammed Saqr and Ramy Elmoazen and Matti Tedre and Sonsoles L{\'o}pez-Pernas and Laura Hirsto",

year = "2022",

doi = "10.1016/j.edurev.2022.100437",

language = "English",

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journal = "Educational research review",

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T1 - How well centrality measures capture student achievement in computer-supported collaborative learning? – A systematic review and meta-analysis

AU - Saqr, Mohammed

AU - Elmoazen, Ramy

AU - Tedre, Matti

AU - López-Pernas, Sonsoles

AU - Hirsto, Laura

PY - 2022

Y1 - 2022

KW - 516 Educational sciences

KW - 113 Computer and information sciences

U2 - 10.1016/j.edurev.2022.100437

DO - 10.1016/j.edurev.2022.100437

M3 - Article

SN - 1747-938X

VL - 35

SP - 1

EP - 16

JO - Educational research review

JF - Educational research review

M1 - 100437

ER -

How well centrality measures capture student achievement in computer-supported collaborative learning? – A systematic review and meta-analysis

Fields of Science

Access to Document

Projects

OAHOT: Utilization of learning analytics in the various educational levels and contexts for supporting self-regulated learning (OAHOT)

Cite this