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CCLI: Model Eliciting Activities: Experiments and Mixed Methods to Assess Student Learning – Part II

Shuman, Larry J. and Besterfield-Sacre, Mary E. and Yildirim, Tuba P and Bursic, Karen M. and Vidic, Natasa (2011) CCLI: Model Eliciting Activities: Experiments and Mixed Methods to Assess Student Learning – Part II. 2011 ASEE Annual Conference & Exposition. ISSN 2153-5965

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As part of a seven university CCLI* Type 3 collaborative effort focused on models and modeling, we have extended the model eliciting activity (MEA) construct to upper division engineering programs. Originally developed and validated by mathematics education researchers, MEAs were found to have significant value as an educational tool. In particular, our overall goal has been to use this construct as a means for enhancing engineering students‟ problem solving and modeling skills as well as their conceptual understanding of certain engineering topics. Specifically,we have pursued two main research avenues: MEAs as teaching tools and MEAs as learning assessment tools. This paper summarizes our results for these two research thrusts as we enter our fourth project year. Particular emphasis is placed on our mixed measurements for student learning and achievement, and an examination of the relative conceptual gain for a series of
MEA experiments, including those where a comparison group was available.


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Item Type: Article
Status: Published
CreatorsEmailPitt UsernameORCID
Shuman, Larry J.shuman@pitt.edu0000-0001-6884-7070
Besterfield-Sacre, Mary E.mbsacre@pitt.edu0000-0002-3758-6100
Yildirim, Tuba P
Bursic, Karen M.kbursic@pitt.edu0000-0003-1438-9072
Vidic, Natasanav9@pitt.edu0000-0002-4174-4079
Date: 29 June 2011
Journal or Publication Title: 2011 ASEE Annual Conference & Exposition
Publisher: American Society for Engineering Education,
DOI or Unique Handle: 10.18260/1-2--17595
Schools and Programs: Swanson School of Engineering > Industrial Engineering
Refereed: Yes
ISSN: 2153-5965
Official URL:
Date Deposited: 31 Aug 2021 14:00
Last Modified: 31 Aug 2021 14:00


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