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Board # 43 : Large-scale Research on Engineering Design in Secondary Classrooms: Big Learner Data Using Energy3D Computer-Aided Design

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Conference

2017 ASEE Annual Conference & Exposition

Location

Columbus, Ohio

Publication Date

June 24, 2017

Start Date

June 24, 2017

End Date

June 28, 2017

Conference Session

NSF Grantees Poster Session

Tagged Topic

NSF Grantees Poster Session

Page Count

5

Permanent URL

https://peer.asee.org/27854

Download Count

27

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Paper Authors

biography

Senay Purzer Purdue University, West Lafayette (College of Engineering) Orcid 16x16 orcid.org/0000-0003-0784-6079

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Ṣenay Purzer is an Associate Professor in the School of Engineering Education. She is the recipient of a 2012 NSF CAREER award, which examines how engineering students approach innovation. She serves on the editorial boards of Science Education and the Journal of Pre-College Engineering Education (JPEER). She received a B.S.E with distinction in Engineering in 2009 and a B.S. degree in Physics Education in 1999. Her M.A. and Ph.D. degrees are in Science Education from Arizona State University earned in 2002 and 2008, respectively.

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biography

Robin Adams Purdue University, West Lafayette (College of Engineering)

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Robin S. Adams is an Associate Professor in the School of Engineering Education at Purdue University and holds a PhD in Education, an MS in Materials Science and Engineering, and a BS in Mechanical Engineering. She researches cross-disciplinarity ways of thinking, acting and being; design learning; and engineering education transformation.

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biography

Molly H Goldstein Purdue University, West Lafayette (College of Engineering) Orcid 16x16 orcid.org/0000-0002-2382-4745

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Molly Goldstein is a Ph.D. Candidate in the School of Engineering Education at Purdue University, West Lafayette with a research focus on characterizing behaviors in student designers. She previously worked as an environmental engineer specializing in air quality influencing her focus in engineering design with environmental concerns. She earned her B.S. in General Engineering (Systems Engineering & Design) and M.S. in Systems and Entrepreneurial Engineering from the University of Illinois in Urbana-Champaign.

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Abstract

Through a five-year collaborative project, Purdue University and the Concord Consortium are applying a data-intensive approach to study one of the most fundamental research topics in learning sciences and engineering education: “How do secondary students learn and apply science concepts in engineering design processes?” We have collected data from over 1,000 middle and high school students in Indiana and Massachusetts through automatic, unobtrusive logging of student design processes enabled by a unique CAD tool that supports the design of energy-efficient buildings using earth science, physical science, and engineering science concepts and principles of design. Data collected includes fine-grained information of student design actions, experimentation behaviors, electronic student reflection notes, and virtual design artifacts. These process data are used to reconstruct the entire learning trajectory of each individual student. Our research evaluates how these learning analytics applied to these process data can be the computational counterparts of traditional performance assessment methods. Combining these process data with pre/post-tests and demographic data, we have investigated the common patterns of student design behavior and associated learning outcomes. We have focused on how students deepen their understanding of science concepts involved in engineering design projects and how often and deeply students use scientific experimentation to make a design choice.

Purzer, S., & Adams, R., & Goldstein, M. H. (2017, June), Board # 43 : Large-scale Research on Engineering Design in Secondary Classrooms: Big Learner Data Using Energy3D Computer-Aided Design Paper presented at 2017 ASEE Annual Conference & Exposition, Columbus, Ohio. https://peer.asee.org/27854

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