O'Connell, B., & Wong, J. (2022, August), MATLAB Curriculum Based in Experimental Setups with Authentic Data Collection and Analysis Experiences  Paper presented at 2022 ASEE Annual Conference & Exposition, Minneapolis, MN. 10.18260/1-2--41524

\bibitem{asee_peer_41524}
  O'Connell, B., \& Wong, J. (2022, August), \emph{MATLAB Curriculum Based in Experimental Setups with Authentic Data Collection and Analysis Experiences}
  Paper presented at 2022 ASEE Annual Conference \& Exposition, Minneapolis, MN.
  10.18260/1-2--41524

Brian O'Connell and Jada Wong.  "MATLAB Curriculum Based in Experimental Setups with Authentic Data Collection and Analysis Experiences".  2022 ASEE Annual Conference & Exposition, Minneapolis, MN, 2022, August.  ASEE Conferences, 2022.  https://strategy.asee.org/41524 Internet.  03 Jul, 2024

\bibitem{asee_peer_41524}
  Brian O'Connell and Jada Wong.
  "MATLAB Curriculum Based in Experimental Setups with Authentic Data Collection and Analysis Experiences".
  \emph{2022 ASEE Annual Conference \& Exposition, Minneapolis, MN, 2022, August}.
  ASEE Conferences, 2022.
  https://strategy.asee.org/41524 Internet.  03 Jul, 2024

@INPROCEEDINGS{asee_peer_41524
author = "Brian O'Connell and Jada Wong"
title = "MATLAB Curriculum Based in Experimental Setups with Authentic Data Collection and Analysis Experiences"
booktitle = "2022 ASEE Annual Conference \& Exposition"
year = "2022"
month = "August"
address = "Minneapolis, MN"
publisher = "ASEE Conferences"
note = {https://strategy.asee.org/41524}
number = {10.18260/1-2--41524}
}

TY  - CPAPER
AB  - This demonstration features a suite of experimental setups designed and developed for use in a first-year engineering course as part of their MATLAB instruction. Each experiment involves a portable data collection unit and baseline data collection software to enable initial interaction with the hardware. They purposefully showcase experimental setup and data collection as part of their MATLAB curriculum to learn the software in a setting and context more in-line with how they will use it in future courses. The suite currently contains hardware for collecting UV levels and GPS data, listening for signal transmission through a simulated noisy environment, recording hand-eye reaction times based on randomized stimuli, and a desktop mechanical stress test. 
The hardware enables students to collect the specific data they need for each experiment, containing all sensors and other necessary components in a rugged and compact self-contained unit. The size is such that they can easily transport to perform their experiments where convenient, like their dorm rooms. The cost of each averaged to less than $25 per student per group by taking advantage of low-cost systems like Arduino and rapid prototyping options typically available in most academic settings. Since the educational objective is to develop their skill and understanding in MATLAB, module assessment focuses on the quality of the scripts developed to analyze the collected data, not the quality of the experimentation or understanding of the underlying concepts. Those elements are heavily scaffolded though through provided software which guides them through the experimental runs, uploads their data point(s) to a database, and downloads the class dataset from that database. Students then apply their MATLAB lessons to organize and analyze the dataset by eliminating noise and extraneous data and visualization of findings. 

AU  - Brian O'Connell
AU  - Jada Wong
CY  - Minneapolis, MN
DA  - 2022/08/23
PB  - ASEE Conferences
TI  - MATLAB Curriculum Based in Experimental Setups with Authentic Data Collection and Analysis Experiences
UR  - https://strategy.asee.org/41524
DO  - 10.18260/1-2--41524
ER  -