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Examining Adaptive E-Learning Approaches to Enhance Learning and Individual Experiences
Acta Informatica PragensiaThe concept of individualization has emerged as an essential advance in education, representing a paradigm shift adopted by educational systems worldwide. This paradigm evolution aims to optimize student performance by harnessing the potential of diverse
Fateh Benkhalfallah +2 more
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Adaptively Rational Learning [PDF]
Minds and Machines, 2015 Research on adaptive rationality has focused principally on inference, judgment, and decision-making that lead to behaviors and actions. These processes typically require cognitive representations as input, and these representations must presumably be acquired via learning. Nonetheless, there has been little work on the nature of, and justification for,
Sarah Wellen, David Danks
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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.
Zhenyue Zhang +2 more
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AdaTask: A Task-aware Adaptive Learning Rate Approach to Multi-task Learning [PDF]
AAAI Conference on Artificial Intelligence, 2022 Multi-task learning (MTL) models have demonstrated impressive results in computer vision, natural language processing, and recommender systems. Even though many approaches have been proposed, how well these approaches balance different tasks on each ...
Enneng Yang +8 more
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Adapting SME Learning Environments for Adaptivity [PDF]
Sixth IEEE International Conference on Advanced Learning Technologies (ICALT'06), 2006 There is a genuine demand for personalization and guidance in learning systems, as well as in general commercial learning systems for the WWW, and further, for the new, emerging Semantic Web. Some isolated attempts towards adaptation are being made without fully responding to this demand. However, systematic frameworks for adaptive content and behavior
Alexandra I. Cristea +3 more
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IEEE Access, 2023 Artificial intelligence (AI) approaches have been used in personalised adaptive education systems to overcome the limitations of statically determined learning styles (LSs).
Saadia Gutta Essa +2 more
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International Journal of Educational Technology in Higher Education, 2020 Higher education institutions are increasingly interested in using adaptive learning as an innovative data-driven approach to teaching. The actual use of adaptive learning in courses remains, however, low.
Victoria Mirata +3 more
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Sensory white noise improves reading skills and memory recall in children with reading disability
Brain and Behavior, 2021 Background Reading disability (RD) is characterized by slow and inaccurate word reading development, commonly reflecting underlying phonological problems.
Göran B. W. Söderlund +5 more
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AdaMerging: Adaptive Model Merging for Multi-Task Learning [PDF]
International Conference on Learning Representations, 2023 Multi-task learning (MTL) aims to empower a model to tackle multiple tasks simultaneously. A recent development known as task arithmetic has revealed that several models, each fine-tuned for distinct tasks, can be directly merged into a single model to ...
Enneng Yang +6 more
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Journal of Medical Education and Curricular Development, 2023 OBJECTIVES Children with physical disabilities (CWPD) have historically experienced inadequate and insensitive care across medical settings. A lack of comfort and knowledge about CWPD is prevalent among healthcare provider trainees.
Alexandra Kimmel +5 more
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