Personalised learning in project management education: Insights from an artificial intelligence-driven chatbot
The 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 ”XXXX” 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. • AI chatbots enhance student motivation and support tailored learning in project management education. • AI chatbots modernise management education and enrich teachers’ toolkits. • AI chatbots can be valuable tools in blended learning environments. • Continued support and training are critical for the successful adoption and alignment of AI chatbots with teaching styles. • The responsible use of AI chatbots is essential for educators and learners in diverse contexts.
Authors
- Mauro Mancini (ORCID: https://orcid.org/0000-0002-6553-4586)
- Hannele Lampela (ORCID: https://orcid.org/0000-0003-4643-4632)
- Martina Huemann (ORCID: https://orcid.org/0000-0001-6412-6161)
- Jaakko Kujala
- Helgi Þór Ingason (ORCID: https://orcid.org/0000-0003-0606-0867)
- Costanza Mariani (ORCID: https://orcid.org/0000-0003-0435-9128)
- Kirsi Aaltonen (ORCID: https://orcid.org/0000-0001-6904-4288)
- Þórður Víkingur Friðgeirsson
- Claudia Ringhofer
- Atli Snaer Asmundarson
- Daniel Huemann
Institutions
- Reykjavík University (IS)
- Project Management Institute (US)
- Politecnico di Milano (IT)
- University of Oulu (FI)
Publication Details
- Journal
- Project Leadership and Society
- Published
- 2025-09-24
- DOI
- https://doi.org/10.1016/j.plas.2025.100193
- Citations
- 3
- Primary Topic
- AI in Service Interactions
- Type
- article
- Field-Weighted Citation Impact
- 7.44