Basu, D., & Ramaprasad, H. (2023, June), Design and Evaluation of an Academic Integrity Module for Computer Science Students  Paper presented at 2023 ASEE Annual Conference & Exposition, Baltimore , Maryland. 10.18260/1-2--42914

\bibitem{asee_peer_42914}
  Basu, D., \& Ramaprasad, H. (2023, June), \emph{Design and Evaluation of an Academic Integrity Module for Computer Science Students}
  Paper presented at 2023 ASEE Annual Conference \& Exposition, Baltimore , Maryland.
  10.18260/1-2--42914

Debarati Basu and Harini Ramaprasad.  "Design and Evaluation of an Academic Integrity Module for Computer Science Students".  2023 ASEE Annual Conference & Exposition, Baltimore , Maryland, 2023, June.  ASEE Conferences, 2023.  https://peer.asee.org/42914 Internet.  07 May, 2024

\bibitem{asee_peer_42914}
  Debarati Basu and Harini Ramaprasad.
  "Design and Evaluation of an Academic Integrity Module for Computer Science Students".
  \emph{2023 ASEE Annual Conference \& Exposition, Baltimore , Maryland, 2023, June}.
  ASEE Conferences, 2023.
  https://peer.asee.org/42914 Internet.  07 May, 2024

@INPROCEEDINGS{asee_peer_42914
author = "Debarati Basu and Harini Ramaprasad"
title = "Design and Evaluation of an Academic Integrity Module for Computer Science Students"
booktitle = "2023 ASEE Annual Conference \& Exposition"
year = "2023"
month = "June"
address = "Baltimore , Maryland"
publisher = "ASEE Conferences"
note = {https://peer.asee.org/42914}
number = {10.18260/1-2--42914}
}

TY  - CPAPER
AB  - Academic Integrity (AInt) violations in Computer Science (CS) have been on the rise in recent years, the CS Program at the University of North Carolina at Charlotte (UNC Charlotte) being no exception. Students are often unaware of what constitutes a violation and of its potential consequences. To address this, we design a standalone, self-paced, online Academic Integrity course module targeted at CS students. Our module aims to increase student awareness about academic misconduct, inform students about the potential consequences of academic misconduct, and educate students about strategies and resources to avoid academic misconduct, incorporating scenarios and information specifically relevant to CS throughout. In this paper, we present the details of the module and report our experiences and analysis from deploying it in eight courses within the CS program at UNC Charlotte in the Spring and Fall of 2021. Our analysis, based on responses from 314 students, demonstrates the effectiveness of the module in meeting our goals and also sheds light on opportunities for further improvement that we have already capitalized on. We envision that our module can be adopted and adapted by other CS programs and that our experiences can serve as an exemplar for the development of similar program-specific AInt learning modules, all with the overarching goal of mitigating AInt violations.
AU  - Debarati Basu
AU  - Harini Ramaprasad
CY  - Baltimore , Maryland
DA  - 2023/06/25
PB  - ASEE Conferences
TI  - Design and Evaluation of an Academic Integrity Module for Computer Science Students
UR  - https://peer.asee.org/42914
DO  - 10.18260/1-2--42914
ER  -