With the rise in global competency development in manufacturing, the need to enhance competitive advantage has driven the growth of Learning Factories. As Learning Factories become more prominent in engineering education and practice, research in this area has increased. Since 2015, the annual Conference on Learning Factories (CLF) has provided a platform for researchers to present and discuss state-of-the-art developments. This study explores the proceedings of CLF from 2015 to 2023, aiming to quantify emerging themes and trends within the field. Using an adapted systematic literature review (SLR) methodology, which involved planning, searching, and analysing, this research reveals correlations between keywords and the evolution of topics over time. Key trends include the rise of IoT, Lean, Digital Twin, VR, AR, AI, and Industry 5.0. Notably, strong correlations were found between Learning Factories and Industry 4.0, as well as between Industry 4.0 and other topics like training, Lean, IoT, AR, and digitalization. These trends reflect a broader discussion on human-centric manufacturing and the need to design processes and systems that prioritize the user. The findings highlight gaps in Learning Factory research, particularly the need for more focus on Industry 5.0 applications and the integration of future technologies. By looking at flagship conferences, one is able to possibly determine the trajectory of future research in the field. It appears that the research trajectory is favouring the need to make technology more accessible to and for human centric manufacturing.