The iReCheck project: using tablets and robots for personalised handwriting practice

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This work proposes a decentralized architecture, where individual agents aim at solving a classification problem while observing streaming features of different dimensions and arising from possibly different distributions. In the context of social learning ...

Motor skill learning is a crucial process at all ages. However, healthy aging is often accompanied by a reduction in motor learning capabilities. This study characterized the brain dynamics of healthy older adults during motor skill acquisition and identif ...

What conceptions do teachers hold about learning activities to develop students’ transversal skills? This qualitative exploration at a research-intensive engineering school draws on interviews and focus groups to explore teachers’ ideas about developing in ...

The paper presents ICAP (interactive, constructive, active and passive) as the theoretical framework to understand the role of informal learning spaces as an active learning tool when students have informal meetings to work on projects. Students in our En ...

The presence of conversational agents (or chatbots) in educational contexts has been steadily increasing over the past few years. Recent surveys have shown widespread interest in the use of chatbots in education, both for research and practice. Although th ...

Inclusive teaching is the intentional practice of recognising biases, working to mitigate their impact, and ensuring that students have equitable learning opportunities. In addition to improving students' sense of belonging and self efficacy, inclusive tea ...

Order, regularities, and patterns are ubiquitous around us. A flock of birds maneuvering in the sky, the self-organization of social insects, a global pandemic or a traffic jam are examples of complex systems where the macroscopic patterns arise from the m ...

Alumni studies are often overlooked in engineering education research, despite holding great potential for improving engineering programmes and creating the links that are missed when it comes to university-workplace transitions. Besides better understandi ...

Blood pressure (BP) is a crucial indicator of cardiovascular health. Hypertension is a common life-threatening condition and a key factor of cardiovascular diseases (CVDs). Identifying abnormal BP fluctuations can allow for early detection and management o ...

Model-free Reinforcement Learning (RL) generally suffers from poor sample complexity, mostly due to the need to exhaustively explore the state-action space to find well-performing policies. On the other hand, we postulate that expert knowledge of the syste ...

Over the past few decades, the debates have shifted from whether to how Computer Science (CS) should be introduced into formal education. Given the diverse ways to introduce CS into formal education, and the struggles many countries have faced, considerabl ...

Finding optimal bidding strategies for generation units in electricity markets would result in higher profit. However, it is a challenging problem due to the system uncertainty which is due to the lack of knowledge of the strategies of other generation uni ...

The iReCheck project: using tablets and robots for personalised handwriting practice

Chattez avec Graph Search

Learning From Heterogeneous Data Based on Social Interactions Over Graphs

Early motor skill acquisition in healthy older adults: brain correlates of the learning process

Are engineering teachers ready to leverage the power of play to teach transversal skills?

Work in progress: Imagining / Designing informal spaces for learning

A Conceptual Framework for Integrating Conversational Agents in Digital Education

Inclusive engineering classrooms: student teaching assistants' perspectives

Human-Robot Swarm Interaction: An Explorative Path to Foster Complex Systems Understanding

From University to Work: Alumni Viewpoints

Data-driven approaches for non-invasive cuffless blood pressure monitoring

Computationally Efficient Reinforcement Learning: Targeted Exploration leveraging Simple Rules

Co-constructing an Effective, Sustainable and Scalable Primary School Computer Science Curricular Reform

Multi-agent reinforcement learning with graph convolutional neural networks for optimal bidding strategies of generation units in electricity markets