Results 51 to 60 of about 561,186 (166)
Enhancing Interactions During Dyadic Learning in Mathematics
Schweizerische Zeitschrift für Bildungswissenschaften, 2000 This article reviews a research program conducted to examine variables that enhance student interactions during dyadic learning in mathematics. A rationale for focusing on methods to enhance interactions is provided. Then, five studies are described.
Pamela Stecker +2 more
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Learning to Learn in Interactive Constraint Acquisition
Proceedings of the AAAI Conference on Artificial IntelligenceConstraint Programming (CP) has been successfully used to model and solve complex combinatorial problems. However, modeling is often not trivial and requires expertise, which is a bottleneck to wider adoption. In Constraint Acquisition (CA), the goal is to assist the user by automatically learning the model.
Tsouros, Dimosthenis +2 more
openaire +3 more sources
Canadian Journal of Learning and Technology, 2016 Nous interrogeons les formes d’interactions des apprenants dans un parcours d’autoapprentissage guidé en langues. Le dispositif comprend un centre de ressources en langues, des entretiens et un journal de bord réflexif sur leurs activités dont certaines ...
Marco Cappellini +2 more
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Learning Together: Exploring Group Interactions Online
International Journal of E-learning and Distance Education, 2005 Recent studies in the literature on online learning highlight a constructivist approach to knowledge-building in Web-based environments. In this case study of an online course, students were introduced to a constructivist orientation toward learning, a ...
Martha Gabriel
doaj
Biomolecular Interaction Prediction: The Era of AI
Advanced SciencePredicting biomolecular interactions is a crucial task in drug discovery and molecular biology. Deep learning, with its ability to learn complex patterns from large datasets, has shown promising results in predicting biomolecular interactions.
Haoping Wang, Xiangjie Meng, Yang Zhang
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Learning Interactions in Reaction Diffusion Equations by Neural Networks. [PDF]
Entropy (Basel), 2023 Chen S, Brunel NJ, Yang X, Cui X.
europepmc +1 more source
Perspectives on Rehabilitation Using Non-invasive Brain Stimulation Based on Second-Person Neuroscience of Teaching-Learning Interactions. [PDF]
Front Psychol, 2021 Takeuchi N.
europepmc +1 more source
Person-to-person interactions in hybrid teaching and learning
International Journal of Educational Research OpenThis paper aims to investigate person-to-person interactions in a hybrid classroom setting from a Community of Inquiry perspective. A typology of person-to-person interaction in hybrid learning environment is proposed.
Tai-ming Wut +2 more
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Collective relational inference for learning heterogeneous interactions
Nature CommunicationsInteracting systems are ubiquitous in nature and engineering, ranging from particle dynamics in physics to functionally connected brain regions. Revealing interaction laws is of fundamental importance but also particularly challenging due to underlying ...
Zhichao Han, Olga Fink, David S. Kammer
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Interactions between social learning and technological learning in electric vehicle futures
Environmental Research Letters, 2018 The transition to electric vehicles is an important strategy for reducing greenhouse gas emissions from passenger cars. Modelling future pathways helps identify critical drivers and uncertainties. Global integrated assessment models (IAMs) have been used
O Y Edelenbosch +4 more
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