Personalised learning in project management education : Insights from an artificial intelligence-driven chatbot

dc.contributor.authorIngason, Helgi Thor
dc.contributor.authorAaltonen, Kirsi
dc.contributor.authorAsmundarson, Atli Snaer
dc.contributor.authorFridgeirsson, Thordur Vikingur
dc.contributor.authorHuemann, Daniel
dc.contributor.authorHuemann, Martina
dc.contributor.authorKujala, Jaakko
dc.contributor.authorLampela, Hannele
dc.contributor.authorMancini, Mauro
dc.contributor.authorMariani, Costanza
dc.contributor.authorRinghofer, Claudia
dc.contributor.departmentDepartment of Engineering
dc.date.accessioned2026-10-02T13:12:01Z
dc.date.available2026-10-02T13:12:01Z
dc.date.issued2025-12
dc.descriptionPublisher Copyright: © 2025 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license. http://creativecommons.org/licenses/by-nc-nd/4.0/en
dc.description.abstractThe increasing complexity of project-based work in contemporary organisations calls for a transformation in how project management is taught. Traditional teaching approaches struggle to support self-directed, context-sensitive, and motivationally engaging learning experiences—skills that are critical for preparing future project leaders. In this context, there is growing interest in the potential of artificial intelligence-powered tools to enhance the quality and adaptability of educating future project managers. This paper explores the application of artificial intelligence-driven chatbots in university-level project management education through the lens of the two-year international project ”ChatLearn” conducted across four European countries. Using an action design research methodology, the project iteratively developed and tested a chatbot in three versions, progressively integrating feedback from students and educators. The study suggests that artificial intelligence-based chatbots hold significant promise for supporting personalised learning journeys and increasing student motivation; however, their integration requires careful design, ongoing dialogue within the teaching community, and a strong alignment with pedagogical objectives.en
dc.description.versionPeer revieweden
dc.format.extent1499659
dc.format.extent
dc.identifier.citationIngason, H T, Aaltonen, K, Asmundarson, A S, Fridgeirsson, T V, Huemann, D, Huemann, M, Kujala, J, Lampela, H, Mancini, M, Mariani, C & Ringhofer, C 2025, 'Personalised learning in project management education : Insights from an artificial intelligence-driven chatbot', Project Leadership and Society, vol. 6, 100193. https://doi.org/10.1016/j.plas.2025.100193en
dc.identifier.doi10.1016/j.plas.2025.100193
dc.identifier.issn2666-7215
dc.identifier.other250848239
dc.identifier.other225273a3-e689-48b8-9a62-72269e33b0ae
dc.identifier.other105019763668
dc.identifier.urihttps://hdl.handle.net/20.500.11815/8511
dc.language.isoen
dc.relation.ispartofseriesProject Leadership and Society; 6()en
dc.relation.urlhttps://www.scopus.com/pages/publications/105019763668en
dc.rightsinfo:eu-repo/semantics/openAccessen
dc.subjectSociology and Political Scienceen
dc.subjectSocial Sciences (miscellaneous)en
dc.subjectPublic Administrationen
dc.titlePersonalised learning in project management education : Insights from an artificial intelligence-driven chatboten
dc.type/dk/atira/pure/researchoutput/researchoutputtypes/contributiontojournal/articleen

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