HLM Modeling of Pre/Post-assessment Results from a Large-scale Efficacy Study of Elementary Engineering | Zendy

Cathy Lachapelle | Zendy; Yoonkyung Oh | Zendy; Muhammad Shahid Shams | Zendy; Jonathan Hertel | Zendy; Christine M. Cunningham | Zendy

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HLM Modeling of Pre/Post-assessment Results from a Large-scale Efficacy Study of Elementary Engineering

Author(s) -

Cathy Lachapelle,

Yoonkyung Oh,

Muhammad Shahid Shams,

Jonathan Hertel,

Christine M. Cunningham

Publication year - 2015

Language(s) - English

Resource type - Conference proceedings

DOI - 10.18260/p.24185

Subject(s) - curriculum , context (archaeology) , scale (ratio) , mathematics education , engineering education , multilevel model , set (abstract data type) , computer science , psychology , engineering , pedagogy , engineering management , paleontology , physics , quantum mechanics , machine learning , biology , programming language

Cathy Lachapelle leads the EiE team responsible for assessment and evaluation of our curricula. This includes the design and field-testing of assessment instruments and research on how children use EiE materials. Cathy is particularly interested in how collaborative interaction and scaffolded experiences with disciplinary practices help children learn science, math, and engineering. Her work on other STEM education research projects includes the national Women’s Experiences in College Engineering (WECE) study. Cathy received her S.B. in cognitive science from the Massachusetts Institute of Technology and her Ph.D. in educational psychology from Stanford University.

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