Research projects

In this project, the prototype of the VR training (developed in the PWO SPRINT EDU XR) is optimized and expanded. This VR training is aimed at secondary school students (vocational orientation) learning to operate complex woodworking machines.                                     

The clinical (pediatric) ophthalmic practice is confronted daily with the limitations of available visual assessment and rehabilitation tools. Ophthalmologists consistently face challenges in obtaining reliable results from vision tests in children.                               

The MCT/STAR lab research group of Howest will subcontract with Be-Mobile to investigate and develop possible Android and iOS smartphone applications aimed at ergonomic use by pedestrians and cyclists (active road users).                                                           

Generative AI is currently experiencing a significant surge. AI enthusiasts see endless opportunities, while doomsayers predict the downfall of creative professions and disruption in education. This research focuses on the role of AI applications in the creative sector.          

This research explores two interconnected paths related to Artificial Intelligence (AI): interpreting results to provide better/individual guidance for students and investigating which AI applications could be beneficial for education.                                             

Many software projects still face challenges, leading to failures due to budget or deadline overruns or delivering products that don't meet client expectations, despite the use of agile methodologies that involve clients closely in the project.                                    

Research indicates that socially active sports practices are empowering and contribute to a positive perception of young people in disadvantaged neighborhoods.                                                                                                                         

Experiential Learning in and with Nature: Towards Sustainable Implementation in Diverse Contexts