Projects
Manage self-directed learning via Lemo and support materials AP Hogeschool Antwerpen
Supporting learners in control: investigating self-regulated learning in blended learning environments KU Leuven
Blended learning is learning that happens in an instructional context characterized by a deliberate combination of online and classroom-based interventions for instigating and supporting learning. Blended forms of learning have become increasingly popular in education and are realized through a wide range of online and face-to-face instructional interventions. As a result of this variety, blended learning environments differ widely in terms ...
The Lio-platform as a means to flexible, differentiated and self-regulated learning of in-service teacher-students: strenghtening teacher education! University of Antwerp
Learning to the 4th power AP Hogeschool Antwerpen
Exploring Unsupervised Learning for Computer Vision Tasks with Neural Networks KU Leuven
Traditional supervised learning algorithms for computer vision tasks usually rely on large extensively annotated datasets. However, this labeling process can be expensive, biased, and susceptible to ambiguity.
The thesis explores self-supervised or unsupervised learning as a viable alternative to overcome these obstacles.
Specifically, it tackles fundamental perception tasks via neural networks and aims to automatically discover ...
Energy-efficient communications through self-supervised learning and distributed wireless networks KU Leuven
Given the ever-growing demand for high throughput wireless communications, the power consumption used by these networks continues to soar. Many research efforts have been focused on providing higher throughput, reliability and lower latencies. However, energy consumption remains an afterthought rather than a first principal goal in the development of wireless technologies. Given the growing concerns regarding carbon emissions and ...
TutorTalk: Student tutoring regarding self-regulated learning Ghent University
Students from the first master Pedagogy and Education coach at risk students from fifth and sixth grade of primary school regarding self-regulated learning via student tutoring during school hours. The project runs an entire semester. Goals for four groups of actors (students, master students, teachers, parents) are formulated. Students are prepared and supported by the course Coaching and counseling.
Multi-modal transfer learning through self-supervision for real-time venue mapping. University of Antwerp
Multi-Task Learning for Visual Scene Understanding KU Leuven
Despite the recent progress in deep learning, most approaches still go for a silo-like solution, training a separate neural network for each individual task. Yet, many real-world problems require to solve a multitude of tasks concurrently. For example, an autonomous vehicle should be able to detect all objects in the scene, localize them, estimate their distance and trajectory, etc., in order to safely navigate itself in its surroundings. ...