Simulations for STEM Learning: Systematic Review and Meta-Analysis
Resource type
Journal Article
Authors/contributors
- D'Angelo, Cynthia (Author)
- Rutstein, Daisy (Author)
- Harris, Christopher (Author)
- Bernard, Robert (Author)
- Borokhovski, Evgueni (Author)
- Haertel, Geneva (Author)
Title
Simulations for STEM Learning: Systematic Review and Meta-Analysis
Abstract
This report presents an overview of the process and initial
findings of a systematic review and meta-analysis of the
literature on computer simulations for Kâ12 science,
technology, engineering, and mathematics (STEM)
learning topics. Both quantitative and qualitative research
studies on the effects of simulation in STEM were reviewed.
Studies that reported effect size measures or the data to
calculate effect sizes were included in the meta-analysis.
Important moderating factors related to simulation
design, assessment, implementation, and study quality
were coded, categorized, and analyzed for all the articles.
Date
2014
Citation
D’Angelo, C., Rutstein, D., Harris, C., Bernard, R., Borokhovski, E., & Haertel, G. (2014). Simulations for STEM Learning: Systematic Review and Meta-Analysis.
Instructional domain (subject)
Education Level and Type
School or home
Moderating variables
Tech Hardware
Tech Software
Tech mechanism
Learning Approach
Teacher Pedagogy
Research methods
Effect size/ heterogeneity
HIC/LMIC
Quality of research
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