Results 11 to 20 of about 1,780,354 (311)
Educazione Linguistica Language Education, 2019 Data-Driven Learning (DDL) is almost non-existent at the university level in Serbia when it comes to using DDL in foreign language teaching. Having analysed the curricula at a number of universities, we concluded that DDL is dealt with on a very small
Vitaz, Milica, Poletanović, Milica
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Data-Driven Learning of Nonautonomous Systems [PDF]
SIAM Journal on Scientific Computing, 2021 We present a numerical framework for recovering unknown non-autonomous dynamical systems with time-dependent inputs. To circumvent the difficulty presented by the non-autonomous nature of the system, our method transforms the solution state into piecewise integration of the system over a discrete set of time instances.
Tong Qin 0002 +3 more
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Translation and Data-Driven Learning
Data-driven learning (DDL) is particularly well suited to translator education, providing an adequate pedagogic approach for two related yet distinct learning objectives: the development of translation competence and the learning of foreign languages ...
Silvia Bernardini
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Optimization for Data-Driven Learning and Control [PDF]
Proceedings of the IEEE, 2020 This special issue provides a comprehensive overview of modern optimization tools and methods for the purposes of data-driven learning and control.
Usman A. Khan +4 more
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Data-driven modeling of engagement analytics for quality blended learning [PDF]
, 2019 Engagement analytics is a branch of learning analytics (LA) that focuses on student engagement, with most studies conducted by computer scientists. Thus, rather than focusing on learning, research in this field usually treats education as a scenario for ...
Yang N. +3 more
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Is There 'ONE way' of Learning? A Data-driven Approach [PDF]
Companion Publication of the 2020 International Conference on Multimodal Interaction, 2020 Intelligent Tutoring Systems (ITS) are required to intervene in a learning activity while it is unfolding, to support the learner. To do so, they often rely on performance of a learner, as an approximation for engagement in the learning process. However, in learning tasks that are exploratory by design, such as constructivist learning activities ...
Jauwairia Nasir +2 more
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Data-driven modeling of impedance biosensors: A subspace approach [PDF]
, 2021 A data-driven scheme for modeling electrical impedance in biosensors is presented by a subspace method working with the singular value decomposition of structured voltage and current data. Contrary to the classical electrical impedance spectroscopy (EIS)
Schoukens, Maarten +4 more
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Data-Driven Learning of Q-Matrix [PDF]
Applied Psychological Measurement, 2012 The recent surge of interests in cognitive assessment has led to developments of novel statistical models for diagnostic classification. Central to many such models is the well-known Q-matrix, which specifies the item–attribute relationships. This article proposes a data-driven approach to identification of the Q-matrix and estimation of related model ...
Jingchen, Liu +2 more
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Data-driven invariant learning for probabilistic programs
Formal Methods in System Design, 2022 AbstractMorgan and McIver’s weakest pre-expectation framework is one of the most well-established methods for deductive verification of probabilistic programs. Roughly, the idea is to generalize binary state assertions to real-valued expectations, which can measure expected values of probabilistic program quantities.
Jialu Bao +4 more
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Bias learning improves data driven models for streamflow prediction
Journal of Hydrology: Regional Studies, 2023 Study region: Andun river basin of Southern China and 273 watersheds across the continental United States. Study focus: Owing to the data incompleteness and the changing environment, there is bias existing in the data driven models for streamflow ...
Yongen Lin +8 more
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