Behavior-based Feedback Loop for Attentive E-reading (BFLAe): A Real-Time Computer Vision Approach

This study is built upon a behavior-based framework for real-time attention evaluation of higher education learners in e-reading. Significant challenges in AI model developments for learning analytics have been 1) defining valid indicators and 2) connecting the analytics results to interventions, balancing the generalization and personalization...

We can teach more than we can tell: combining Deliberate Practice, Embodied Cognition, and Multimodal Learning

Acquisition and internalisation of many fundamental skills rely on repeated authentic practice and teachers providing support during practice. Despite this well accepted norms in skills acquisition, much of our assumptions about learning skills, mostly from a cognitive perspective, remain nebulous. Besides splitting hairs to classify skills...

Psychology Meets Machine Learning: Interdisciplinary Perspectives on Algorithmic Job Candidate Screening

In a rapidly digitizing world, machine learning algorithms are increasingly employed in scenarios that directly impact humans. This also is seen in job candidate screening. Data-driven candidate assessment is gaining interest, due to high scalability and more systematic assessment mechanisms. However, it will only be truly accepted and trusted...