File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: Effects of the visual analytics of peer feedback on teachers’ TPACK development in a lesson study

TitleEffects of the visual analytics of peer feedback on teachers’ TPACK development in a lesson study
Authors
KeywordsLesson study
Peer feedback
TPACK
Visualisation-based analytical dashboard
Issue Date25-Apr-2023
PublisherTaylor and Francis Group
Citation
Interactive Learning Environments, 2023 How to Cite?
Abstract

Teacher networks and communities have played an important role in teacher professional development. In such contexts, teachers often receive extensive feedback from peers as part of social learning. However, many teachers have difficulty identifying essential information from a large amount of peer feedback, which may impede self-reflection and peer learning. This study proposes the use of computer-assisted visual analytics of peer feedback to address this challenge. A visualisation-based analytical dashboard was designed and applied to help teachers analyse and reflect on peer feedback in a lesson study community for Technological Pedagogical Content Knowledge (TPACK) development. Primary school teachers participated in the lesson study, in which they collaborated to discuss lesson plans, observe recorded lessons, and give peer ratings and comments using an online platform. By comparing the performance between those using the analytical dashboard and others not using it, the results show that the approach has promising effects on improving teachers’ TPACK as reflected in the lesson plans and their perceived confidence in TPACK. The implications of the findings are also discussed.


Persistent Identifierhttp://hdl.handle.net/10722/333909
ISSN
2023 Impact Factor: 3.7
2023 SCImago Journal Rankings: 1.312
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorWang, AX-
dc.contributor.authorYu, SQ-
dc.contributor.authorWang, MH-
dc.contributor.authorChen, L-
dc.date.accessioned2023-10-06T08:40:09Z-
dc.date.available2023-10-06T08:40:09Z-
dc.date.issued2023-04-25-
dc.identifier.citationInteractive Learning Environments, 2023-
dc.identifier.issn1049-4820-
dc.identifier.urihttp://hdl.handle.net/10722/333909-
dc.description.abstract<p>Teacher networks and communities have played an important role in teacher professional development. In such contexts, teachers often receive extensive feedback from peers as part of social learning. However, many teachers have difficulty identifying essential information from a large amount of peer feedback, which may impede self-reflection and peer learning. This study proposes the use of computer-assisted visual analytics of peer feedback to address this challenge. A visualisation-based analytical dashboard was designed and applied to help teachers analyse and reflect on peer feedback in a lesson study community for Technological Pedagogical Content Knowledge (TPACK) development. Primary school teachers participated in the lesson study, in which they collaborated to discuss lesson plans, observe recorded lessons, and give peer ratings and comments using an online platform. By comparing the performance between those using the analytical dashboard and others not using it, the results show that the approach has promising effects on improving teachers’ TPACK as reflected in the lesson plans and their perceived confidence in TPACK. The implications of the findings are also discussed.</p>-
dc.languageeng-
dc.publisherTaylor and Francis Group-
dc.relation.ispartofInteractive Learning Environments-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectLesson study-
dc.subjectPeer feedback-
dc.subjectTPACK-
dc.subjectVisualisation-based analytical dashboard-
dc.titleEffects of the visual analytics of peer feedback on teachers’ TPACK development in a lesson study-
dc.typeArticle-
dc.identifier.doi10.1080/10494820.2023.2204354-
dc.identifier.scopuseid_2-s2.0-85153597570-
dc.identifier.eissn1744-5191-
dc.identifier.isiWOS:000976567200001-
dc.identifier.issnl1049-4820-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats