@article{Farah:15226,
      recid = {15226},
      author = {Farah, Juan Carlos and La Scala, Jérémy and Ingram, Sandy  and Gillet, Denis},
      title = {Supporting brainstorming activities with bots in software  engineering education},
      journal = {Proceedings of the 6th International Workshop on Bots in  Software Engineering (BotSE), 27 April 2025, Ottawa,  Canada},
      address = {2025-04},
      number = {CONFERENCE},
      pages = {5 p.},
      abstract = {The recent rise in the performance and availability of  large language models (LLMs) has fueled the adoption of  generative artificial intelligence (AI) to support software  engineering. Technologies such as Copilot and ChatGPT have  become ubiquitous in software engineering, both in academic  and professional settings. Nevertheless, the effects of  such technologies on how engineers collaborate to build  software are relatively unknown, raising questions  regarding the impact they have on computer-supported  collaborative work (CSCW). To explore these effects, we  conducted a within-subjects empirical case study with 24  undergraduate software engineering students. Students were  divided into seven groups, completing four brainstorming  tasks related to a software engineering project for a  course on frontend development. For each group, two of the  tasks were supported by LLM-powered bots, while the other  two tasks did not include bots. Our findings show that when  the brainstorming process was supported by bots, students  proposed significantly fewer ideas and reported  significantly less sense of authorship and sense of  responsibility with respect to the ideas selected. These  results motivate the need for frameworks to guide how  software engineers collaborate with AI-powered  technologies.},
      url = {http://arodes.hes-so.ch/record/15226},
}