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. 10.18260/1-2--27854

\bibitem{asee_peer_27854}
  Purzer, S., \& Adams, R., \& Goldstein, M. H. (2017, June), \emph{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.
  10.18260/1-2--27854

Senay Purzer, Robin Adams, and Molly H Goldstein.  "Board # 43 : Large-scale Research on Engineering Design in Secondary Classrooms: Big Learner Data Using Energy3D Computer-Aided Design".  2017 ASEE Annual Conference & Exposition, Columbus, Ohio, 2017, June.  ASEE Conferences, 2017.  https://peer.asee.org/27854 Internet.  25 Apr, 2025

\bibitem{asee_peer_27854}
  Senay Purzer, Robin Adams, and Molly H Goldstein.
  "Board \# 43 : Large-scale Research on Engineering Design in Secondary Classrooms: Big Learner Data Using Energy3D Computer-Aided Design".
  \emph{2017 ASEE Annual Conference \& Exposition, Columbus, Ohio, 2017, June}.
  ASEE Conferences, 2017.
  https://peer.asee.org/27854 Internet.  25 Apr, 2025

@INPROCEEDINGS{asee_peer_27854
author = "Senay Purzer, Robin Adams, and Molly H Goldstein"
title = "Board \# 43 : Large-scale Research on Engineering Design in Secondary Classrooms: Big Learner Data Using Energy3D Computer-Aided Design"
booktitle = "2017 ASEE Annual Conference \& Exposition"
year = "2017"
month = "June"
address = "Columbus, Ohio"
publisher = "ASEE Conferences"
note = {https://peer.asee.org/27854}
number = {10.18260/1-2--27854}
}

TY  - CPAPER
AB  - 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. 








AU  - Senay Purzer
AU  - Robin Adams
AU  - Molly H Goldstein
CY  - Columbus, Ohio
DA  - 2017/06/24
PB  - ASEE Conferences
TI  - Board # 43 : Large-scale Research on Engineering Design in Secondary Classrooms: Big Learner Data Using Energy3D Computer-Aided Design
UR  - https://peer.asee.org/27854
DO  - 10.18260/1-2--27854
ER  -