Albrant, L., & Pendse, P., & Brown, L. E., & Ureel, L. C., & Sticklen, J., & Jarvie-Eggart, M. E. (2023, July), WIP: MATLAB WebTA, Enhancing the bigger picture through human factors.  Paper presented at 14th Annual First-Year Engineering Experience (FYEE) Conference, University of Tennessee in Knoxville, Tennessee. 10.18260/1-2--44859

\bibitem{asee_peer_44859}
  Albrant, L., \& Pendse, P., \& Brown, L. E., \& Ureel, L. C., \& Sticklen, J., \& Jarvie-Eggart, M. E. (2023, July), \emph{WIP: MATLAB WebTA, Enhancing the bigger picture through human factors.}
  Paper presented at 14th Annual First-Year Engineering Experience (FYEE) Conference, University of Tennessee in Knoxville, Tennessee.
  10.18260/1-2--44859

Laura Albrant, Pradnya Pendse, Laura E Brown, Leo C. Ureel II, Jon Sticklen, and Michelle E Jarvie-Eggart P.E..  "WIP: MATLAB WebTA, Enhancing the bigger picture through human factors.".  14th Annual First-Year Engineering Experience (FYEE) Conference, University of Tennessee in Knoxville, Tennessee, 2023, July.  ASEE Conferences, 2023.  https://peer.asee.org/44859 Internet.  22 Dec, 2024

\bibitem{asee_peer_44859}
  Laura Albrant, Pradnya Pendse, Laura E Brown, Leo C. Ureel II, Jon Sticklen, and Michelle E Jarvie-Eggart P.E..
  "WIP: MATLAB WebTA, Enhancing the bigger picture through human factors.".
  \emph{14th Annual First-Year Engineering Experience (FYEE) Conference, University of Tennessee in Knoxville, Tennessee, 2023, July}.
  ASEE Conferences, 2023.
  https://peer.asee.org/44859 Internet.  22 Dec, 2024

@INPROCEEDINGS{asee_peer_44859
author = "Laura Albrant, Pradnya Pendse, Laura E Brown, Leo C. Ureel II, Jon Sticklen, and Michelle E Jarvie-Eggart P.E."
title = "WIP: MATLAB WebTA, Enhancing the bigger picture through human factors."
booktitle = "14th Annual First-Year Engineering Experience (FYEE) Conference"
year = "2023"
month = "July"
address = "University of Tennessee in Knoxville, Tennessee"
publisher = "ASEE Conferences"
note = {https://peer.asee.org/44859}
number = {10.18260/1-2--44859}
}

TY  - CPAPER
AB  - Code critiquing software is often discussed with the specific audience of novice programmers within the computer science community. This makes sense as computer science is the field of study in which programming is most affiliated with. However, computer science is not the sole field to utilize programming languages. So, what happens when the target audience of a code critiquer shifts to a different field of study? This research seeks to answer this question from a human factors perspective. Our Work-In-Progress  paper outlines the first steps taken.
In previous research, a Java code critiquer was developed to identify antipatterns within students', or novice programmers’, code and provide beneficial feedback on how to write better code on multiple levels. This system was coined WebTA. A pilot version of WebTA for the programming language MATLAB was developed. The MATLAB WebTA was then alpha tested in an introductory engineering course for three lab assignments with time for revision of the autocritiquer between each assignment. 
Optional feedback surveys were offered for students and instructors to fill out after each assignment. Additional in-person observations of the three lab blocks in which students used the WebTA system were conducted. The combination of this data works to provide an understanding of the common friction points between the students’ learning and the good coding practices that the WebTA encourages. For example, one point of friction could be the terminology the WebTA utilizes for its feedback. WebTA was initially implemented for computer science students; therefore, use of the same terminology could be a major point of confusion for engineering students. 
A human factor mindset is applied in analyzing both this data and the overall system in order to tackle the problem set from multiple angles. The use of human factor principles supplies excellent methods to analyze any system with human-computer interactions and/or training process(s) as well as effective design approaches. Involving this approach directly in the middle of the development process provides a robust foundation for future, post-development analyses. The primary goal of implementing human factors’ principles is to improve the usability of WebTA for students in all fields of study, starting with engineering. Viable improvements include, but are not limited to, the minimization/elimination of common, observed friction points and the formation of a more intuitive user interface.
AU  - Laura Albrant
AU  - Pradnya Pendse
AU  - Laura E Brown
AU  - Leo C. Ureel II
AU  - Jon Sticklen
AU  - Michelle E Jarvie-Eggart P.E.
CY  - University of Tennessee in Knoxville, Tennessee
DA  - 2023/07/30
PB  - ASEE Conferences
TI  - WIP: MATLAB WebTA, Enhancing the bigger picture through human factors.
UR  - https://peer.asee.org/44859
DO  - 10.18260/1-2--44859
ER  -