Inclusive engineering classrooms: student teaching assistants' perspectives

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Background Early exposure to Computer Science (CS) and Computational Thinking (CT) for all is critical to broaden participation and promote equity in the field. But how does the introduction of CS and CT into primary school curricula impact learning, perce ...

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In Process Systems Engineering, computationally-demanding models are frequent and plentiful. Handling such complexity in an optimization framework in a fast and reliable way is essential, not only for generating meaningful solutions but also for providing ...

There is an everlasting effort in education to successfully ensure that the intended learning objectives are clearly taught and effectively learnt at the end of the educational cycle. This has been especially difficult in teaching and learning complex sets ...

The motor learning process entails plastic changes in the brain, especially in brain network reconfigurations. In the current study, we sought to characterize motor learning by determining changes in the coupling behaviour between the brain functional and ...

Machine learning is often cited as a new paradigm in control theory, but is also often viewed as empirical and less intuitive for students than classical model-based methods. This is particularly the case for reinforcement learning, an approach that does n ...

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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 ...

Inclusive engineering classrooms: student teaching assistants' perspectives

Chat with Graph Search

How are primary school computer science curricular reforms contributing to equity? Impact on student learning, perception of the discipline, and gender gaps

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

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

Networked Signal and Information Processing: Learning by multiagent systems

A combined genetic algorithm and active learning approach to build and test surrogate models in Process Systems Engineering

Planned, taught, learnt: analysis of transversal skills through curriculum using portfolio

Brain connectome correlates of short-term motor learning in healthy older subjects

Reinforcement learning approach to control an inverted pendulum: A general framework for educational purposes

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

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