Education Commons^™

Informing Makerspace Outcomes Through A Linguistic Analysis Of Written And Video-Recorded Project Assessments, Kevin M. Oliver, Jennifer K. Houchins, Robert L. Moore, Chuang Wang

STEMPS Faculty Publications

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 port-folios). 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 …