Collaborating with generative AI for learning?

Hernández-Leo, Davinia; Theophilou, Emily; Oshima, Jun; Minematsu, Tsubasa; Matsueda, Kana; Naganuma, Shotaro; Cress, Ulrike; Chen, Bodong; Zhu, Xinran; Díaz del Castillo, Fernando; Chen, Wenli; Lyu, Qianru; Chen, Xuanyu; Zheng, Lishan; Weinberger, Armin

Collaborating with generative AI for learning?

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dc.contributor.author Hernández-Leo, Davinia
dc.contributor.author Theophilou, Emily
dc.contributor.author Oshima, Jun
dc.contributor.author Minematsu, Tsubasa
dc.contributor.author Matsueda, Kana
dc.contributor.author Naganuma, Shotaro
dc.contributor.author Cress, Ulrike
dc.contributor.author Chen, Bodong
dc.contributor.author Zhu, Xinran
dc.contributor.author Díaz del Castillo, Fernando
dc.contributor.author Chen, Wenli
dc.contributor.author Lyu, Qianru
dc.contributor.author Chen, Xuanyu
dc.contributor.author Zheng, Lishan
dc.contributor.author Weinberger, Armin
dc.date.accessioned 2025-06-18T07:01:32Z
dc.date.available 2025-06-18T07:01:32Z
dc.date.issued 2025
dc.description.abstract Generative 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.
dc.description.sponsorship The work by Pompeu Fabra University authors was supported by PID2020-112584RB-C33, PID2023-146692OBC33, CEX2021-001195-M funded by MICIU/AEI/10.13039/501100011033, SGR 00930, and Erasmus+ KA220-HED-D8B72E6A. DHL (Serra Húnter) also acknowledges the support by ICREA Academia.
dc.format.mimetype application/pdf
dc.identifier.citation Hernández-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.
dc.identifier.uri http://hdl.handle.net/10230/70716
dc.language.iso eng
dc.publisher International Society of the Learning Sciences
dc.relation.ispartof 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.
dc.relation.projectID info:eu-repo/grantAgreement/ES/2PE/PID2020-112584RB-C33
dc.relation.projectID info:eu-repo/grantAgreement/ES/3PE/PID2023-146692OB-C33
dc.rights.accessRights info:eu-repo/semantics/openAccess
dc.subject.keyword Generative AI
dc.subject.keyword Learning
dc.subject.keyword Teaching
dc.title Collaborating with generative AI for learning?
dc.type info:eu-repo/semantics/conferenceObject
dc.type.version info:eu-repo/semantics/publishedVersion

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