Imitation Learning in Discounted Linear MDPs without exploration assumptions

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Accessible Maker-based Approaches to Educational Robotics in Online Learning

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Educational Robotics holds the potential to promote the development of important 21st century skills, such as creativity and problem-solving skills in addition to digital literacy. However, the emergence of the Covid-19 pandemic has posed particular obstac ...

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Many Are The Ways to Learn: Identifying multi-modal behavioral profiles of collaborative learning in constructivist activities

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Understanding how learners engage with learning technologies, and its relation with their learning, is crucial to the design of effective learning interventions. Assessing the learners’ state however, is non-trivial. Research suggests that performance is n ...

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L2D 2021: First International Workshop on Enabling Data-Driven Decisions from Learning on the Web

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By offering courses and resources, learning platforms on the Web have been attracting lots of participants, and the interactions with these systems have generated a vast amount of learning-related data. Their collection, processing and analysis have promot ...

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FLeet: Online Federated Learning via Staleness Awareness and Performance Prediction

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Federated Learning (FL) is very appealing for its privacy benefits: essentially, a global model is trained with updates computed on mobile devices while keeping the data of users local. Standard FL infrastructures are however designed to have no energy or ...

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Private and Secure Distributed Learning

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Computational thinking courses are no longer exclusive to engineering and computer science students in higher education but have become a requirement in other fields, as well as for students in secondary, primary, and even early childhood education. Comput ...

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Discovery and Temporal Analysis of MOOC Study Patterns

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Cover: A Cluster-Based Variance Reduced Method For Online Learning

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In this paper, we develop a stochastic-gradient learning algorithm for situations involving streaming data that arise from an underlying clustered structure. In such settings, the variance of gradient noise can be decomposed into the in-cluster variance si ...

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

Jennifer Kaitlyn Olsen

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 ...

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Real-world gait speed estimation using wrist sensor: A personalized approach

Kamiar Aminian, Hooman Dejnabadi, Abolfazl Soltani, Martin Savary

Gait speed is an important parameter to characterize people's daily mobility. For real-world speed measurement, inertial sensors or Global Navigation Satellite System (GNSS) can be used on wrist, possibly integrated in a wristwatch. However, power consumpt ...

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Many Are The Ways to Learn: Identifying multi-modal behavioral profiles of collaborative learning in constructivist activities

Pierre Dillenbourg, Barbara Bruno, Jauwairia Nasir, Aditi Kothiyal

2021