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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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Frontiers in Education, 2022 The authors discuss the design and utilization of e-TPCK, a self-paced adaptive electronic learning environment designed to promote the development of teachers’ Technological Pedagogical Content Knowledge (TPCK).
Andri Christodoulou, Charoula Angeli
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Deep Adaptive Learning for Writer Identification based on Single Handwritten Word Images [PDF]
, 2018 There are two types of information in each handwritten word image: explicit information which can be easily read or derived directly, such as lexical content or word length, and implicit attributes such as the author's identity.
He, Sheng, Schomaker, Lambert
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Відкрите освітнє е-середовище сучасного університету, 2016 The study presents a short overview of the development of the adaptive learning concept, shows its contribution to effective learning and teaching and introduces trends of its further development which – in the form of adaptive e-learning – are related ...
Josef Malach +4 more
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RUDN Journal of Informatization in Education, 2021 Problem and goal. The development of mass open online courses contributes to the increasing attention of students to them. At the moment, there are many large services that provide online training, but there are no clearly defined universal requirements ...
Dmitry V. Bordachev
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Exploiting Cognitive Structure for Adaptive Learning
, 2019 Adaptive learning, also known as adaptive teaching, relies on learning path recommendation, which sequentially recommends personalized learning items (e.g., lectures, exercises) to satisfy the unique needs of each learner.
Chang H.-S. +8 more
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Adaptive sequential machine learning [PDF]
Sequential Analysis, 2019 arXiv admin note: text overlap with arXiv:1509 ...
Wilson, Craig +2 more
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Adaptive learning rate clipping stabilizes learning [PDF]
Machine Learning: Science and Technology, 2020 Abstract Artificial neural network training with gradient descent can be destabilized by ‘bad batches’ with high losses. This is often problematic for training with small batch sizes, high order loss functions or unstably high learning rates.
Jeffrey M Ede, Richard Beanland
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Frontiers in Psychology, 2022 This study aims to explore the current situation and strategy formulation of sports psychology teaching in colleges and universities following adaptive learning and deep learning under information education.
Chuan Mou +3 more
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Adaptive Control with Approximated Policy Search Approach
ITB Journal of Engineering Science, 2010 Most of existing adaptive control schemes are designed to minimize error between plant state and goal state despite the fact that executing actions that are predicted to result in smaller errors only can mislead to non-goal states. We develop an adaptive
Agus Naba
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