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Full-Text Articles in Education
A Bayesian Network Meta-Analysis To Synthesize The Influence Of Contexts Of Scaffolding Use On Cognitive Outcomes In Stem Education, Brian Robert Belland, Andrew Walker, Nam Ju Kim
A Bayesian Network Meta-Analysis To Synthesize The Influence Of Contexts Of Scaffolding Use On Cognitive Outcomes In Stem Education, Brian Robert Belland, Andrew Walker, Nam Ju Kim
Instructional Technology and Learning Sciences Faculty Publications
Computer-based scaffolding provides temporary support that enables students to participate in and become more proficient at complex skills like problem solving, argumentation, and evaluation. While meta-analyses have addressed between-subject differences on cognitive outcomes resulting from scaffolding, none has addressed within-subject gains. This leaves much quantitative scaffolding literature not covered by existing meta-analyses. To address this gap, this study used Bayesian network meta-analysis to synthesize within-subjects (pre–post) differences resulting from scaffolding in 56 studies. We generated the posterior distribution using 20,000 Markov Chain Monte Carlo samples. Scaffolding has a consistently strong effect across student populations, STEM (science, technology, engineering, and mathematics) …
Stitching Codeable Circuits: High School Students' Learning About Circuitry And Coding With Electronic Textiles, Breanne Krystine Litts, Yasmin B. Kafai, Debora A. Lui, Justice T. Walker, Sari A. Widman
Stitching Codeable Circuits: High School Students' Learning About Circuitry And Coding With Electronic Textiles, Breanne Krystine Litts, Yasmin B. Kafai, Debora A. Lui, Justice T. Walker, Sari A. Widman
Instructional Technology and Learning Sciences Faculty Publications
Learning about circuitry by connecting a battery, light bulb, and wires is a common activity in many science classrooms. In this paper, we expand students’ learning about circuitry with electronic textiles, which use conductive thread instead of wires and sewable LEDs instead of lightbulbs, by integrating programming sensor inputs and light outputs and examining how the two domains interact.We implemented an electronic textiles unit with 23 high school students ages 16–17 years who learned how to craft and code circuits with the LilyPad Arduino, an electronic textile construction kit. Our analyses not only confirm significant increases in students’ understanding of …