Personalised learning in project management education: Insights from an artificial intelligence-driven chatbot
Helgi Þór Ingason, Kirsi Aaltonen, Atli Snaer Asmundarson, Þórður Víkingur Friðgeirsson, Daniel Huemann, Martina Huemann, Jaakko Kujala, Hannele Lampela, Mauro Mancini, Costanza Mariani, Claudia Ringhofer · Project Leadership and Society · 2025
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.