Benjamin, M., & Albrant, L., & Jarvie-Eggart, M. E., & Sticklen, J., & Brown, L. E., & Ureel, L. C. (2024, July),  Full paper: Exploring Instructors Insight’ to a MATLAB Code Critiquer  Paper presented at 15th Annual First-Year Engineering Experience Conference (FYEE), Boston, Massachusetts. 10.18260/1-2--48581

\bibitem{asee_peer_48581}
  Benjamin, M., \& Albrant, L., \& Jarvie-Eggart, M. E., \& Sticklen, J., \& Brown, L. E., \& Ureel, L. C. (2024, July), \emph{ Full paper: Exploring Instructors Insight’ to a MATLAB Code Critiquer}
  Paper presented at 15th Annual First-Year Engineering Experience Conference (FYEE), Boston, Massachusetts.
  10.18260/1-2--48581

Mary Benjamin, Laura Albrant, Michelle E Jarvie-Eggart P.E., Jon Sticklen, Laura E Brown, and Leo C. Ureel II.  " Full paper: Exploring Instructors Insight’ to a MATLAB Code Critiquer".  15th Annual First-Year Engineering Experience Conference (FYEE), Boston, Massachusetts, 2024, July.  ASEE Conferences, 2024.  https://peer.asee.org/48581 Internet.  24 Feb, 2025

\bibitem{asee_peer_48581}
  Mary Benjamin, Laura Albrant, Michelle E Jarvie-Eggart P.E., Jon Sticklen, Laura E Brown, and Leo C. Ureel II.
  " Full paper: Exploring Instructors Insight’ to a MATLAB Code Critiquer".
  \emph{15th Annual First-Year Engineering Experience Conference (FYEE), Boston, Massachusetts, 2024, July}.
  ASEE Conferences, 2024.
  https://peer.asee.org/48581 Internet.  24 Feb, 2025

@INPROCEEDINGS{asee_peer_48581
author = "Mary Benjamin, Laura Albrant, Michelle E Jarvie-Eggart P.E., Jon Sticklen, Laura E Brown, and Leo C. Ureel II"
title = " Full paper: Exploring Instructors Insight’ to a MATLAB Code Critiquer"
booktitle = "15th Annual First-Year Engineering Experience Conference (FYEE)"
year = "2024"
month = "July"
address = "Boston, Massachusetts"
publisher = "ASEE Conferences"
note = {https://peer.asee.org/48581}
number = {10.18260/1-2--48581}
}

TY  - CPAPER
AB  - This study investigates the effectiveness of WebTA, a MATLAB-based code critiquer, in enhancing programming education for first-year engineering students. WebTA aims to identify and provide feedback on antipatterns, promoting better coding practices. The research involved three classroom interventions at Michigan Technological University during the Spring and Fall semesters of 2023. In the Spring, WebTA was integrated into three MATLAB assignments in ENG1101, and student interactions were observed. Key areas of focus included student engagement, usage patterns, challenges, behavioral responses, and instructor interactions.

Pre- and post-interviews with instructors were conducted to assess baseline knowledge and capture reflections on WebTA's impact. Thematic analysis of these interviews revealed varied abilities among instructors to identify antipatterns, diverse teaching approaches, and mixed feedback on WebTA's utility. Findings indicate that WebTA effectively reduces coding anxiety and instills good programming habits but also highlights the need for better integration with educational platforms and a balanced approach to feedback.

Future research focuses on expanding WebTA's application across different programming courses and objectively measuring its impact on student and instructor perceptions. Addressing the identified challenges will enhance WebTA's usability and overall effectiveness, contributing to improved programming education outcomes.

AU  - Mary Benjamin
AU  - Laura Albrant
AU  - Michelle E Jarvie-Eggart P.E.
AU  - Jon Sticklen
AU  - Laura E Brown
AU  - Leo C. Ureel II
CY  - Boston, Massachusetts
DA  - 2024/07/28
PB  - ASEE Conferences
TI  -  Full paper: Exploring Instructors Insight’ to a MATLAB Code Critiquer
UR  - https://peer.asee.org/48581
DO  - 10.18260/1-2--48581
ER  -