Self and socially shared regulation of learning in data science education: A case study of “Quantified self” project

Jiangxiang Zhang, Bian Wu

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

1 Scopus citations

Abstract

This study explored the influence of student self-regulation (SRL) ability on socially shared regulation of learning (SSRL) and data literacy presented in a data-driven research project. We adopted a process-oriented method for analyzing video recordings of group conversation in the project meetings. Results showed that the high SRL group were tended to engage more in SSRL and critical components of data literacy than the low SRL group. Implications of the study are also discussed.

Original languageEnglish
Title of host publication14th International Conference of the Learning Sciences
Subtitle of host publicationThe Interdisciplinarity of the Learning Sciences, ICLS 2020 - Conference Proceedings
EditorsMelissa Gresalfi, Ilana Seidel Horn
PublisherInternational Society of the Learning Sciences (ISLS)
Pages749-750
Number of pages2
ISBN (Electronic)9781732467262
StatePublished - 2020
Event14th International Conference of the Learning Sciences: The Interdisciplinarity of the Learning Sciences, ICLS 2020 - Nashville, United States
Duration: 19 Jun 202023 Jun 2020

Publication series

NameComputer-Supported Collaborative Learning Conference, CSCL
Volume2
ISSN (Print)1573-4552

Conference

Conference14th International Conference of the Learning Sciences: The Interdisciplinarity of the Learning Sciences, ICLS 2020
Country/TerritoryUnited States
CityNashville
Period19/06/2023/06/20

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