Open Access. Powered by Scholars. Published by Universities.®
Articles 1 - 2 of 2
Full-Text Articles in Education
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
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 …
Setting The Pace: Examining Cognitive Processing In Mooc Discussion Forums With Automatic Text Analysis, Robert L. Moore, Kevin M. Oliver, Chuang Wang
Setting The Pace: Examining Cognitive Processing In Mooc Discussion Forums With Automatic Text Analysis, Robert L. Moore, Kevin M. Oliver, Chuang Wang
STEMPS Faculty Publications
Learning analytics focuses on extracting meaning from large amounts of data. One of the largest datasets in education comes from Massive Open Online Courses (MOOCs) that typically feature enrollments in the tens of thousands. Analyzing MOOC discussion forums presents logistical issues, resulting chiefly from the size of the dataset, which can create challenges for understanding and adequately describing student behaviors. Utilizing automatic text analysis, this study built a hierarchical linear model that examines the influence of the pacing condition of a massive open online course (MOOC), whether it is self-paced or instructor-paced, on the demonstration of cognitive processing in a …