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An Evaluation of Open Source Adaptive Learning Solutions

open access: yesInformation, 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
doaj   +1 more source

Empirical calibration of adaptive learning [PDF]

open access: yesJournal of Economic Behavior & Organization, 2015
KOF Working Papers ...
Michele Berardi, Jaqueson K. Galimberti
openaire   +8 more sources

Adaptation in Online Social Learning [PDF]

open access: yes2020 28th European Signal Processing Conference (EUSIPCO), 2021
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.
openaire   +4 more sources

Editorial: Adaptation and IMS Learning Design

open access: yesJournal of Interactive Media in Education, 2007
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
doaj   +1 more source

Functions of Learning Rate in Adaptive Reward Learning

open access: yesFrontiers in Human Neuroscience, 2017
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
doaj   +1 more source

Adaptive Neighborhood Metric Learning [PDF]

open access: yesIEEE Transactions on Pattern Analysis and Machine Intelligence, 2021
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
openaire   +4 more sources

Reducing Large Adaptation Spaces in Self-Adaptive Systems Using Machine Learning [PDF]

open access: yes, 2023
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

open access: yesAnnals of Clinical and Translational Neurology, Volume 9, Issue 12, Page 1999-2009, December 2022., 2022
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]

open access: yesInternational Journal of Instructional Technology and Educational Studies, 2020
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
doaj   +1 more source

Adapting SME Learning Environments for Adaptivity [PDF]

open access: yesSixth 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
P.M.E. De Bra   +3 more
openaire   +2 more sources

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