An Evaluation of Open Source Adaptive Learning Solutions
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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Empirical calibration of adaptive learning [PDF]
KOF Working Papers ...
Michele Berardi, Jaqueson K. Galimberti
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Adaptation in Online Social Learning [PDF]
This work studies social learning under non-stationary conditions. Although designed for online inference, classic social learning algorithms perform poorly under drifting conditions. To mitigate this drawback, we propose the Adaptive Social Learning (ASL) strategy. This strategy leverages an adaptive Bayesian update, where the adaptation degree can be
Bordignon V., Matta V., Sayed A. H.
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Editorial: Adaptation and IMS Learning Design
In this Special Issue we approach personalization from several views, in each case addressing aspects of adaptive learning and IMS Learning Design. From user modelling to semantic services through educational games, there is a broad range of topics in ...
Daniel Burgos
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Functions of Learning Rate in Adaptive Reward Learning
As a crucial cognitive function, learning applies prediction error (the discrepancy between the prediction from learning and the world state) to adjust predictions of the future.
Xi Wu+6 more
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Adaptive Neighborhood Metric Learning [PDF]
In this paper, we reveal that metric learning would suffer from serious inseparable problem if without informative sample mining. Since the inseparable samples are often mixed with hard samples, current informative sample mining strategies used to deal with inseparable problem may bring up some side-effects, such as instability of objective function ...
Jiwen Lu+4 more
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Reducing Large Adaptation Spaces in Self-Adaptive Systems Using Machine Learning [PDF]
Modern software systems often have to cope with uncertain operation conditions, such as changing workloads or fluctuating interference in a wireless network. To ensure that these systems meet their goals these uncertainties have to be mitigated. One approach to realize this is self-adaptation that equips a system with a feedback loop.
arxiv +1 more source
Recognizing early MRI signs (or their absence) is crucial in diagnosing metachromatic leukodystrophy
Abstract Objectives Metachromatic leukodystrophy (MLD) has characteristic white matter (WM) changes on brain MRI, which often trigger biochemical and genetic confirmation of the diagnosis. In early or pre‐symptomatic disease stages, these typical MRI changes might be absent, hampering early diagnosis.
Daphne H. Schoenmakers+7 more
wiley +1 more source
Effect Of Interaction Between A Flipped Adaptive Learning Environment And Learning Types (Analytic – Comprehensive) to Develop Skills of Using Web 2.0 Application and Motivation For Teachers Pre – Service [PDF]
The Current Study Tries To Explore The Interaction Between A Flipped Adaptive Learning Environment And Learning Types (Analytic – Comprehensive) To Develop Skills of Some Web (2.0) Application. The Main Study Sample Included (70(Students From Third Class
Saad Emam
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Adapting SME Learning Environments for Adaptivity [PDF]
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
P.M.E. De Bra+3 more
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