Learning By Collaborative Teaching : An Engaging Multi-Party CoWriter Activity

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As robots are entering into educational fields to enhance children's learning, it becomes relevant to explore different methods of learning in the area of child-robot interaction. In this article, we present an autonomous educational system incorporating a ...

Learning from demonstration (LfD) is an intuitive framework allowing non-expert users to easily (re-)program robots. However, the quality and quantity of demonstrations have a great influence on the generalization performances of LfD approaches. In this pa ...

In recent years, robots have been surfing on a trendy wave as standard devices for teaching programming. The tangibility of robotics platforms allows for collaborative and interactive learning. Moreover, with these robot platforms, we also observe the occu ...

In this paper, we propose that the data generated by educational robots can be better used by applying learning analytics methods and techniques which can lead to a deeper understanding of the learners’ apprehension and behavior as well as refined guidelin ...

Research on Computer-Supported Collaborative Learning (CSCL) has provided significant insights into why collaborative learning is effective and how we can effectively provide support for it. Building on this knowledge, we can investigate when collaboration ...

Learning handwriting is one of the main occupations for children in primary education. It is a complex skill that has been associated with children’s learning and development. Poor handwriting skills affect children negatively concerning their academic per ...

The profound impact of daylight on occupants is broadly recognized in the fields of architecture and lighting. In particular, the façade and its interplay with light is a central design element, while the diversity of daylight in space is widely acknowledg ...

Training robust deep learning (DL) systems for disease detection from medical images is challenging due to limited images covering different disease types and severity. The problem is especially acute, where there is a severe class imbalance. We propose an ...

Learning By Collaborative Teaching : An Engaging Multi-Party CoWriter Activity

Chat with Graph Search

Children Teach Handwriting to a Social Robot with Different Learning Competencies

Active Improvement of Control Policies with Bayesian Gaussian Mixture Model

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Robot Analytics: What Do Human-Robot Interaction Traces Tell Us About Learning?

It is not either or: An initial investigation into combining collaborative and individual learning using an ITS

Learning How to Write with a Social Robot

Perceptual effects of daylight patterns in architecture

Informative sample generation using class aware generative adversarial networks for classification of chest Xrays