Research projects

Developing custom software is a costly and time-consuming process. Many organizations resort to using MS Office or the Google Suite, but the world of no-code offers far more possibilities than standard office applications.                                                          

The exploratory Practice-Based Research (PWO) project has yielded valuable insights into the potential of the Vital Brains App. The objective of this project is to assist the field by delivering a finalized product, enabling individuals to swiftly access specialized support.     

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.                                     

COVID-19 has demonstrated that utilizing digital communication tools, whether alone or in combination with face-to-face interactions, can greatly enhance the experiences of citizens, clients, and patients in their interactions with service providers, helpers, and healthcare profs

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.