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Published in 2021 at "Computer Applications in Engineering Education"
DOI: 10.1002/cae.22212
Abstract: The rapid development of online learning networks has resulted in the widespread use of recorded educational contents. While the community structure of those networks may have an influence on the use of contents, research on…
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Keywords:
learning networks;
community;
detection algorithms;
online learning ... See more keywords
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Published in 2019 at "Evaluation and program planning"
DOI: 10.1016/j.evalprogplan.2018.12.001
Abstract: Networks are a promising mechanism for creating systemic change. Studies abound, but do not examine roles and practices to reveal the processes through which networks create transformative capacity. This participatory single case study provides a…
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Keywords:
roles practices;
sojourners learning;
learning networks;
curators sojourners ... See more keywords
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Published in 2019 at "Technological Forecasting and Social Change"
DOI: 10.1016/j.techfore.2018.06.042
Abstract: Abstract This paper investigates which external learning mechanisms in networks contribute to various upgrading types in emerging market firms, and how internalisation of externally acquired knowledge complements external learning. It develops a dynamic model of…
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Keywords:
dynamics firm;
external learning;
learning networks;
level upgrading ... See more keywords
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Published in 2020 at "Network Science"
DOI: 10.1017/nws.2020.10
Abstract: Abstract Students’ personal learning networks can be a valuable resource of success in higher education: they offer opportunities for academic and personal support and provide sources of information related to exams or homework. We study…
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Keywords:
learning networks;
study;
formation;
among university ... See more keywords
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Published in 2017 at "Education for Primary Care"
DOI: 10.1080/14739879.2017.1344882
Abstract: I want to tell a story of how my understanding of clinical learning has been turned upside down over the past six years of doctoral study. It is a three-stop journey – with each stage…
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Keywords:
theory micro;
learning networks;
micro learning;
actor network ... See more keywords
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Published in 2023 at "Science and Public Policy"
DOI: 10.1093/scipol/scad013
Abstract: The exact nature of industrial/innovation (I/I) policy challenges and the best way to address them are unknown ex ante. This requires a degree of experimentation, which can be problematic in the context of an accountable…
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Keywords:
experimentation accountability;
innovation;
learning networks;
policy ... See more keywords
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Published in 2024 at "PLOS Computational Biology"
DOI: 10.1101/2024.07.01.601491
Abstract: There is an important challenge in systematically interpreting the internal representations of deep neural networks. This study introduces a multi-dimensional quantification and visualization approach which can capture two temporal dimensions of a model learning experience:…
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Keywords:
deep learning;
curves deep;
learning curves;
processing ... See more keywords
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Published in 2023 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2021.3100742
Abstract: The dynamic property and increasing complexity are the key challenges for modeling financial technology (FinTech)-related applications such as stock markets. Over the years, a lot of inflexible predictive strategies have been proposed for predicting stock…
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Keywords:
fintech applications;
networks fintech;
learning networks;
applications using ... See more keywords
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Published in 2025 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2024.3485765
Abstract: In the modern era, the optimization of energy utilization in both industrial production and everyday life represents a critical challenge. This challenge underscores the imperative for innovative technological solutions, with artificial intelligence (AI) standing at…
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Keywords:
deep learning;
interpretability deep;
method;
interpretability ... See more keywords
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Published in 2021 at "IEEE Network"
DOI: 10.1109/mnet.011.2000379
Abstract: As traditional centralized learning networks (CLNs) are facing increasing challenges in terms of privacy preservation, communication overheads, and scalability, federated learning networks (FLNs) have been proposed as a promising alternative paradigm to support the training…
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Keywords:
federated learning;
training;
smart security;
learning networks ... See more keywords
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Published in 2024 at "IEEE Transactions on Computational Social Systems"
DOI: 10.1109/tcss.2022.3213076
Abstract: Blended learning networks (BLNs) based on the integration of online learning networks and offline learning environments provide new opportunities and platforms for people to acquire and update useful knowledge and carry out all kinds of…
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Keywords:
dissemination;
knowledge;
knowledge dissemination;
learning networks ... See more keywords