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Social emotional interaction in collaborative learning: Why it matters and how can we measure it?
Social Sciences and Humanities Open, 2023 Emotions play a crucial role in our daily lives, contributing to our mental health as well as to our learning and performance efficiency. Emotions are easily influenced by the surrounding environment and objects, and in response, we may behave ...
Xiaoshan Huang, Susanne P. Lajoie
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Towards Learning ‘Self’ and Emotional Knowledge in Social and Cultural Human-Agent Interactions [PDF]
, 2009 Original article can be found at: http://www.igi-global.com/articles/details.asp?ID=35052 Copyright IGI. Posted by permission of the publisher.This article presents research towards the development of a virtual learning environment (VLE) inhabited by ...
Dautenhahn, K. +5 more
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, 2012 Im Sinne des maschinellen Lernens ist im Rahmen dieser Arbeit ein interaktives Trainingssystem entstanden, welches dem Benutzer ermöglicht, erworbenes Wissen in den Trainingsprozess einzubringen. Trainiert wird dabei ein Kaskadenklassifikator anhand von Videodaten. Es existieren viele Systeme für das Training eines Klassifikators.
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NeuroImage, 2022 Corticocortical neuroplastic changes from higher-order cortices to primary motor cortex (M1) have been described for procedural sequence learning. The dorsolateral prefrontal cortex (DLPFC) plays critical roles in cognition, including in motor learning ...
Na Cao +6 more
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Open University Learning Analytics dataset [PDF]
, 2017 Learning Analytics focuses on the collection and analysis of learners’ data to improve their learning experience by providing informed guidance and to optimise learning materials.
F Prasser +5 more
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Crossmodal interactions in human learning and memory
Frontiers in Human Neuroscience, 2023 Most studies of memory and perceptual learning in humans have employed unisensory settings to simplify the study paradigm. However, in daily life we are often surrounded by complex and cluttered scenes made up of many objects and sources of sensory ...
Carolyn A. Murray +2 more
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A Deep Spatio-Temporal Fuzzy Neural Network for Passenger Demand Prediction [PDF]
, 2019 In spite of its importance, passenger demand prediction is a highly challenging problem, because the demand is simultaneously influenced by the complex interactions among many spatial and temporal factors and other external factors such as weather.
Han, Zhu +4 more
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Evolving Plasticity for Autonomous Learning under Changing Environmental Conditions
, 2020 A fundamental aspect of learning in biological neural networks is the plasticity property which allows them to modify their configurations during their lifetime.
Coler, Matt +5 more
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The role of international student interactions in English as a lingua franca in L2 acquisition, L2 motivational development and intercultural learning during study abroad [PDF]
, 2019 Crossing borders features prominently as a theme in study abroad, not only in terms of students’ physical border crossings but also in their intercultural interactions with second language (L2) speakers whose background (linguistic and otherwise) they ...
Hessel, Gianna
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DeepFM: A Factorization-Machine based Neural Network for CTR Prediction
, 2017 Learning sophisticated feature interactions behind user behaviors is critical in maximizing CTR for recommender systems. Despite great progress, existing methods seem to have a strong bias towards low- or high-order interactions, or require expertise ...
Guo, Huifeng +4 more
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