Modèle, architecture et outils pour la modélisation et le déploiement des environnements d'apprentissage multimédias actifs

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The contribution of school curricula to public understanding and acceptance of evolution is still mostly unknown, due to the scarcity of studies that compare the learning goals present in different curricula. To overcome this lack of data we analysed 19 sc ...

GRE@T-PIONEeR is a Horizon 2020 project coordinated by Chalmers University of Technology, running over the period 2020-2024. 18 university teachers from 8 different universities located in 6 different countries gathered forces to develop and offer advanced ...

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 ...

The increasing availability of Massive Open Online Courses (MOOCs) has created a necessity for personalized course recommendation systems. These systems often combine neural networks with Knowledge Graphs (KGs) to achieve richer representations of learners ...

Distributed learning is the key for enabling training of modern large-scale machine learning models, through parallelising the learning process. Collaborative learning is essential for learning from privacy-sensitive data that is distributed across various ...

The widespread application of machine learning (ML) to the chemical sciences is making it very important to understand how the ML models learn to correlate chemical structures with their properties, and what can be done to improve the training efficiency w ...

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 ...

Writing high-quality procedural texts is a challenging task for many learners. While example-based learning has shown promise as a feedback approach, a limitation arises when all learners receive the same content without considering their individual input ...

Revision behavior in adaptive writing support systems is an important and relatively new area of research that can improve the design and effectiveness of these tools, and promote students' self-regulated learning (SRL). Understanding how these tools are u ...

We investigate the learning of a convex patch-based synthesis model for the reconstruction of images. In essence, we propose to learn a dictionary via bilevel optimization for denoising. Using implicit differentiation, we find a closed-form formula of the ...

The potential of automatic code generation through Model-Driven Engineering (MDE) frameworks has yet to be realized. Beyond their ability to help software professionals write more accurate, reusable code, MDE frameworks could make programming accessible fo ...

Systems theory defines leverage points as places to intervene in order to change a system. Points with high impact on system behavior are notoriously hard to act upon, and indeed most policy intervention is based at the lowest level (#12 in Donella Meadows ...

A review is given on the highlights of a scatter-shot approach of developing machine-learning methods and artificial neural networks based fast predictors for the application to fusion exhaust. The aim is to enable and facilitate optimized and improved mod ...

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 ...

High-entropy alloys (HEAs), containing several metallic elements in near-equimolar proportions, have long been of interest for their unique mechanical properties. More recently, they have emerged as a promising platform for the development of novel heterog ...

Nowadays, the integration of home automation systems with smart thermostats is a common trend, designed to enhance resident comfort and conserve energy. The introduction of smart thermostats that can run machine learning algorithms has opened the door for ...

In data-parallel optimization of machine learning models, workers collaborate to improve their estimates of the model: more accurate gradients allow them to use larger learning rates and optimize faster. In the decentralized setting, in which workers commu ...

Along with the successful deployment of deep neural networks in several application domains, the need to unravel the black-box nature of these networks has seen a significant increase recently. Several methods have been introduced to provide insight into t ...

Social behaviors such as cooperation are crucial for mammals. A deeper knowledge of the neuronal mechanisms underlying cooperation can be beneficial for people suffering from pathologies with impaired social behavior. Our aim was to study the brain activit ...

Humans and animals constantly adapt to their environment over the course of their life. This thesis seeks to integrate various timescales of adaptation, ranging from the adaptation of synaptic connections between spiking neurons (milliseconds), rapid behav ...

Modèle, architecture et outils pour la modélisation et le déploiement des environnements d'apprentissage multimédias actifs

Chattez avec Graph Search

Evolution in European and Israeli school curricula - a comparative analysis

Enhancing higher education through hybrid and flipped learning: Experiences from the GRE@T-PIONEeR project

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

Finding Paths for Explainable MOOC Recommendation: A Learner Perspective

Optimization Algorithms for Decentralized, Distributed and Collaborative Machine Learning

Prediction rigidities for data-driven chemistry

Inclusive engineering classrooms: student teaching assistants' perspectives

Enhancing Procedural Writing Through Personalized Example Retrieval: A Case Study on Cooking Recipes

Understanding Revision Behavior in Adaptive Writing Support Systems for Education

Learning a Convex Patch-Based Synthesis Model via Deep Equilibrium

Chat2Code: A Chatbot for Model Specification and Code Generation, The Case of Smart Contracts

Action Levers towards Sustainable Wellbeing: Re-Thinking Negative Emissions, Sufficiency, Deliberative Democracy

Data-driven models in fusion exhaust: AI methods and perspectives

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

Surface segregation in high-entropy alloys from alchemical machine learning

PePTM: An Efficient and Accurate Personalized P2P Learning Algorithm for Home Thermal Modeling

Beyond Spectral Gap: The Role of the Topology in Decentralized Learning

DARE: Towards Robust Text Explanations in Biomedical and Healthcare Applications

Involvement of prelimbic cortex neurons and related circuits in the acquisition of a cooperative learning by pairs of rats

From event-based surprise to lifelong learning. A journey in the timescales of adaptation