In today's rapidly evolving educational environment, the fusion of technology and pedagogy shapes in many ways how we approach learning. In recent years, different ways of combining the possibilities of generative AI and multiple learning and teaching methods have been of particular interest. This paper focuses on the application of AI in active learning. Active learning is a teaching method that activates students in the learning process through various activities such as discussions, problem solving, and practical projects. This method can manifest itself in many forms, such as group works, case studies, interactive lectures, and digital simulations. By promoting participation and critical thinking, active learning helps students to better assimilate and apply knowledge. The empirical part of the paper presents an active learning task based on a simple but effective method developed at a Finnish University of Applied Science. The purpose of the learning exercise is to improve the project management skills of the master of engineering students by utilizing the generative artificial intelligence. By simulating a dynamic real-world scenario, the exercise aims to advance a deeper under-standing about project management principles, improve decision-making and communication skills, and activate the students’ participation. The study aims to understand how different factors of the technology acceptance model (TAM) affect the attitudes to use artificial intelligence-based learning tools. The findings of the study provide some useful information on the possibilities of generative AI in education not only in project management but also in other areas of active learning.