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Informing Makerspace Outcomes Through a Linguistic Analysis of Written and Video-Recorded Project Assessments
Kevin M. Oliver1; Jennifer K. Houchins1; Robert L. Moore2; Chuang Wang3
2020
Source PublicationInternational Journal of Science and Mathematics Education
ISSN1571-0068
Abstract

A growing body of research focuses on what outcomes to assess in makerspaces, and appropriate formats for capturing those outcomes (e.g. reflections, surveys, and portfolios). Linguistic analysis as a data mining technique holds promise for revealing different dimensions of learning exhibited by students in makerspaces. In this study, student reflections on makerspace projects were gathered in 2 formats over 2 years: private written assessments captured in the 3D GameLab gamification platform, and semi-public video-recorded assessments posted in the more social FlipGrid platform. Transcripts of student assessments were analyzed using Linguistic Inquiry Word Count (LIWC) to generate 4 summary variables thought to inform makerspace outcomes of interest (i.e. analytical thinking, authenticity, clout, and emotional tone). Comparative findings indicate that written assessments may elicit more analytical thinking about maker projects compared with less analytical conversation in videos, while video assessments may elicit somewhat higher clout scores as evidence of social scaffolding along with a much more positive emotional tone. Recommendations are provided for layering assessment approaches to maximize the potential benefits of each format, including reflective writing for social spaces, in social groups, and about design processes and procedures.

KeywordAssessment Data Mining Learning Analytics Linguistics Liwc Makerspace Reflection
DOI10.1007/s10763-020-10060-2
URLView the original
Indexed BySSCI
Language英语
WOS Research AreaEducation & Educational Research
WOS SubjectEducation & Educational Research
WOS IDWOS:000515885500001
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Cited Times [WOS]:1   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionFaculty of Education
Corresponding AuthorKevin M. Oliver
Affiliation1.Department of Teacher Education and Learning Sciences,College of Education,North Carolina State University,Raleigh,402T Poe Hall, Box 7801,27695-7801,United States
2.Old Dominion University,Nortfolk,United States
3.University of Macau,Taipai,Macao
Recommended Citation
GB/T 7714
Kevin M. Oliver,Jennifer K. Houchins,Robert L. Moore,et al. Informing Makerspace Outcomes Through a Linguistic Analysis of Written and Video-Recorded Project Assessments[J]. International Journal of Science and Mathematics Education,2020.
APA Kevin M. Oliver,Jennifer K. Houchins,Robert L. Moore,&Chuang Wang.(2020).Informing Makerspace Outcomes Through a Linguistic Analysis of Written and Video-Recorded Project Assessments.International Journal of Science and Mathematics Education.
MLA Kevin M. Oliver,et al."Informing Makerspace Outcomes Through a Linguistic Analysis of Written and Video-Recorded Project Assessments".International Journal of Science and Mathematics Education (2020).
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