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Full-Text Articles in Education
Estimating The Effects Of Forms Of Computer-Based Scaffolding In Problem-Centered Stem Instruction, Mason Reed Lefler
Estimating The Effects Of Forms Of Computer-Based Scaffolding In Problem-Centered Stem Instruction, Mason Reed Lefler
All Graduate Theses and Dissertations, Spring 1920 to Summer 2023
Much like Post-Sputnik 1950s era there is a lot of interest in making sure that United States does not fall behind in Science, Technology, Engineering, and Mathematics (STEM) education. STEM learners are often presented with complex problems to solve both as part of their education and their work. Engineering education suffers from student dropout often due to how difficult it is to support students through solving problems. This dissertation is a close look at computer-based scaffolding, a method of supporting learners during problem solving through computer software. The first paper in this dissertation examines and resolves some of the debate …
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) …