Cognitive load in the workplace
Measurement and remediation of overload during assembly work in Industry 4.0
Charlotte Larmuseau
According to the European Commission, a challenge in education is to prepare individuals for varied and unpredictable career paths in the future (Rethinking education, 2012). Learning environments should focus on domain-specific and domain-general competencies (e.g., entrepreneurship, foreign language acquisition, and critical thinking) to deal with ill-structured problems in the learning and workplace context.
The present PhD project will focus on online learning environments for complex learning. More particularly, it will focus on (1) the design of the learning environments (e.g., instructional design principles), (2) learner characteristics (e.g., prior knowledge), and (3) the interaction between the former two aspects (e.g., tool use) to explain differences in complex learning acquisition, on the one hand, and to develop adaptive, more effective online learning environments for complex learning, on the other hand.
Instructional design
The PhD-project of Charlotte Larmuseau aims at investigating the effectiveness of online learning environments. Effective learning environments that promote complex learning are dependent of external and internal conditions. External conditions are related to the instructional design of the learning environment. Internal conditions encompass learners’ cognitive, metacognitive, affective and motivational characteristics. To have more insight into how the interrelationship of internal and external conditions influences interactive behavior (learning processes), this research project incorporates multichannel data consisting of log data, physiological and self-reported data. Findings should provide insight into how the effectiveness of online courses for complex tasks can be detected and (in a next phase) supported. Since the subject of her (joint)PhD is linked to both educational sciences and computer sciences, she is affiliated to the Centre for Instructional Psychology and Technology (CIP&T) and itec (imec research group) at KULeuven. In addition she is also affiliated to CRISTAL at the University of Lille (Centre de Recherche en Informatique, Signal et Automatique de Lille). Her (co)supervisors are Prof dr. Fien Depaepe, Prof dr. Piet Desmet and Prof dr. Luigi Lancieri.
Measurement and remediation of overload during assembly work in Industry 4.0
Leadership requires domain-related knowledge, but also transversal skills such as the ability to think critically