Hernández-Leo, DaviniaTheophilou, EmilyOshima, JunMinematsu, TsubasaMatsueda, KanaNaganuma, ShotaroCress, UlrikeChen, BodongZhu, XinranDíaz del Castillo, FernandoChen, WenliLyu, QianruChen, XuanyuZheng, LishanWeinberger, Armin2025-06-182025-06-182025Hernández-Leo D, Theophilou E, Oshima J, Minematsu T, Matsueda K, Naganuma S, et al. Collaborating with generative AI for learning? In: Oshima J, Chen B, Vogel F, Järvelä S, editors. 18th International Conference on Computer-Supported Collaborative Learning (CSCL) 2025; 2025 June 10-13; Helsinki, Finland. International Society of the Learning Sciences; 2025. p. 525-35.http://hdl.handle.net/10230/70716Generative Artificial Intelligence (GenAI) tools, driven by large language models (LLMs), are increasingly explored for their potential in educational contexts. However, significant concerns remain regarding their efficacy, cognitive impacts, and ethical implications. The Computer Supported Collaborative Learning (CSCL) community faces critical questions regarding the broader implications of this technology for the field. While GenAI offers advanced opportunities for collaborative learning through conversational interactions and other functions, research in this area is still in its early stages. This symposium presents five contributions that explore the opportunities, challenges, and initial findings of integrating GenAI into educational settings. The goal is to provide evidence-based recommendations for practice and identify key research directions and challenges for the future of CSCL in the context of GenAI.application/pdfeng© 2025 International Society of the Learning Sciences, Inc. [ISLS]. Rights reserved. ISLS online proceedings available at: https://2025.isls.org/proceedings/info:eu-repo/semantics/conferenceObjectGenerative AILearningTeachinginfo:eu-repo/semantics/openAccess