Results 21 to 30 of about 672,598 (219)
Фізико-математична освіта, 2022 Formulation of the problem. In the context of online / blended learning, the relevance of research on the use of digital technologies as a means of adaptive learning for higher education in computer science and mathematics is undeniable.
Олена Косовець +3 more
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International Journal of Computer Vision, 2023 10 pages, 9 ...
Kai-Fu Yang +5 more
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On the Impact of Applying Machine Learning in the Decision-Making of Self-Adaptive Systems [PDF]
, 2021 Recently, we have been witnessing an increasing use of machine learning methods in self-adaptive systems. Machine learning methods offer a variety of use cases for supporting self-adaptation, e.g., to keep runtime models up to date, reduce large adaptation spaces, or update adaptation rules.
arxiv +1 more source
Neural encoding of task-dependent errors during adaptive learning
eLife, 2020 Effective learning requires using errors in a task-dependent manner, for example adjusting to errors that result from unpredicted environmental changes but ignoring errors that result from environmental stochasticity.
Chang-Hao Kao +3 more
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IEEE Access, 2023 Learning activities are considerably supported and improved by the rapid advancement of e-learning systems. This gives students a tremendous chance to participate in learning activities worldwide.
Samina Amin +5 more
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Computers and Education: Artificial Intelligence, 2022 Hybrid systems combining artificial and human intelligence hold great promise for training human skills. In this paper, I position the concept of Hybrid Human-AI Regulation and illustrate this with an example of a first prototype of a Hybrid Human-AI ...
Inge Molenaar
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An Evaluation of Open Source Adaptive Learning Solutions
Information, 2023 The education sector has never been so shaken up as much as this past year. COVID-19 has imposed new rules. Several countries were forced to switch overnight from a traditional educational model to a full eLearning one.
Ahmed Oussous +5 more
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Adaptive Social Learning [PDF]
SSRN Electronic Journal, 2016 The paper investigates social-learning when the information structure is not commonly known. Individuals repeatedly interact in social-learning settings with distinct information structures. In each round of interaction, they use their experience gained in past rounds to draw inferences from their predecessors’ current decisions. Such adaptation yields
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Adaptive Manifold Learning [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2012 Manifold learning algorithms seek to find a low-dimensional parameterization of high-dimensional data. They heavily rely on the notion of what can be considered as local, how accurately the manifold can be approximated locally, and, last but not least, how the local structures can be patched together to produce the global parameterization.
Hongyuan Zha, Zhenyue Zhang, Jing Wang
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Applied Sciences, 2023 International students face unique challenges in pursuing higher education in a foreign country. To address these challenges and enhance their academic experience, higher education institutions are increasingly exploring the use of artificial ...
Ting Wang +6 more
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