Plagiarism activities such as copying code, algorithms, or documentation without consent and attribution are rising in industry and academia. While this can be attributed to the rise of generative AI, a lack of awareness about plagiarism and its implications among soon-to-be software engineers and practitioners raises serious concerns about academic integrity and adds another dimension to this challenge. This research proposes exploring ``replicating a study'' as a pedagogical tool to impart ethical considerations to software engineering undergraduate students. Replicating a study involves recreating and validating existing research findings utilizing datasets from the original study, contributing to a deeper understanding of engineering concepts. Thus, while working on a replication study, students can be prompted to explore and understand professional ethics such as obtaining informed consent, permission to reuse data, and giving credit to original authors. Using preliminary results from such an experiment with two undergraduate student groups, in this ongoing research, we explore and solicit input to modify the methodology for a more extensive study.

Life is full of choices and I am at the juncture of my life where everything is moving and evolving very fast. It feels lucky to be researching in these amazing times. I am an Assistant Professor at the University of Calgary, Canada and Director of Software Hub for AnalytiKs, Technology and Innovation (S.H.A.K.T.I) lab (https://shaktilab.org/)and my area of research is Requirements Engineering, Software Engineering, Data analytics and Responsible Software Engineering.