Pieter Vanneste

ORCID: 0000-0002-3355-5294
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About
Contact & Profiles
Research Areas
  • Innovative Teaching and Learning Methods
  • Human-Automation Interaction and Safety
  • Online and Blended Learning
  • Visual and Cognitive Learning Processes
  • EEG and Brain-Computer Interfaces
  • Augmented Reality Applications
  • Virtual Reality Applications and Impacts
  • Surgical Simulation and Training
  • Learning Styles and Cognitive Differences
  • Educational Environments and Student Outcomes
  • Education and Critical Thinking Development
  • Healthcare Technology and Patient Monitoring
  • Science Education and Pedagogy
  • Team Dynamics and Performance
  • Neural and Behavioral Psychology Studies
  • Higher Education Learning Practices

KU Leuven
2019-2023

IMEC
2019-2023

Imec the Netherlands
2019-2020

Computer vision has shown great accomplishments in a wide variety of classification, segmentation and object recognition tasks, but tends to encounter more difficulties when tasks require contextual assessment. Measuring the engagement students is an example such complex task, as it requires strong interpretative component. This research describes methodology measure students’ engagement, taking both individual (student-level) collective (classroom) approach. Results show that behaviour,...

10.3390/math9030287 article EN cc-by Mathematics 2021-02-01

Cognitive load theory is one of the most influential theoretical explanations cognitive processing during learning. Despite its success, attempts to assess learning have proven difficult. Therefore, in current study, students' self-reported after problem- solving process has been combined with measures physiological data, namely, electrodermal activity (EDA) and skin temperature (ST) problem-solving process. Data was collected from 15 students a high low complex task about teaching geometry....

10.14786/flr.v7i2.403 article EN cc-by-nc-nd Frontline Learning Research 2019-05-10

This exploratory study challenges the current practices in cognitive load measurement by using multichannel data to investigate affordances during online complex problem solving. Moreover, it is an attempt how related strategy use. Accordingly, a well- and ill-structured were developed virtual learning environment. Online support was provided. Participants 15 students from teacher training program. incorporated subjective measurements of students' (i.e., intrinsic, extraneous, germane their...

10.1145/3303772.3303778 article EN 2019-02-25

Abstract Background Augmented reality (AR) is receiving increasing interest as a tool to create an interactive and motivating learning environment. Yet, it unclear how instructional support affects performance in AR. Objectives This study sought explore varying the AR can affect performance‐related behaviours of students with low cognitive abilities during assembly work. Methods A total 90 Belgian secondary school repeatedly executed four different realistic tasks. Three levels (low, medium,...

10.1111/jcal.12916 article EN Journal of Computer Assisted Learning 2023-12-05

Based on current societal transitions and in the context of lifelong learning, both upper secondary education, higher education vocational training are invited to think about how enable people, at any stage their life, take part stimulating learning experiences. The expectancy be present one core location is getting more difficult this (inter)national society. In addition, student population changing balancing work family life becomes an important point priority. Therefore, it make less...

10.38069/edenconf-2019-ac-0033 article EN cc-by-nc-nd EDEN Conference Proceedings 2019-06-16
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