Results 1 to 10 of about 314,460 (166)

Transfer in Learning New Vocabulary: Memorization and Abstraction [PDF]

open access: yesBehavioral Sciences
An experiment was conducted to examine whether knowledge of word meanings enables learners to infer the meanings of related words, and whether such transfer is based on memory for related exemplars or for abstract knowledge. Participants completed a word
James A. Kole, Anna C. Johnson
doaj   +2 more sources

Genetic transfer learning

open access: yesExpert Systems With Applications, 2010
Transfer learning is a method which aims to improve ''related'' tasks performance. Transfer learning tries to use information gained from related tasks solutions to improve performance of learning strategy. Transfer learning addresses the problem of how to utilize plenty of labeled data in a source domain to solve related but different problems in a ...
Ahmet Arslan, Barış Koçer
exaly   +4 more sources

Emotions Meet Reflexivity in Workplace Training: A Person-Centered Approach to Understanding Transfer of Learning [PDF]

open access: yesBehavioral Sciences
This study examines how emotional and reflexive processes jointly relate to transfer of learning in workplace training contexts. Drawing on organizational learning theory, it introduces Reflexivity on Emotions (RoE) as a metacognitive capability through ...
Eleonora Cova, Maria Luisa Farnese
doaj   +2 more sources

Conceptual Model of Life Skills Transfer in Sport [PDF]

open access: yesCheyuk gwahag yeon-gu, 2021
PURPOSE This study aimed to develop a model for life skills transfer in sport. METHODS A literature review of research on life skills transfer was conducted.
Taehee Lim, Oh-Jung Kwon, Junsu Bae
doaj   +1 more source

Adaptive transfer learning [PDF]

open access: yesThe Annals of Statistics, 2021
In transfer learning, we wish to make inference about a target population when we have access to data both from the distribution itself, and from a different but related source distribution. We introduce a flexible framework for transfer learning in the context of binary classification, allowing for covariate-dependent relationships between the source ...
Henry W. J. Reeve   +2 more
openaire   +6 more sources

Impact of climate change-induced natural disasters on intangible cultural heritage related to food: a review

open access: yesJournal of Ethnic Foods, 2022
The increased frequency of extreme climate-induced natural disasters (floods, cyclones, mud slides, heat waves, droughts), attributed to climate change, is causing stress to already vulnerable livelihoods by affecting both tangible and intangible ...
Vimbainashe Prisca Dembedza   +3 more
doaj   +1 more source

Impact of Daily Choral Singing and Creative Writing Activities on the Cognitive Development of Second-, Third-, and Fourth-Grade French Children from Low Socioeconomic Backgrounds

open access: yesChildren, 2023
In France, around one-fifth of children have reading difficulties, and school results are highly dependent on their socio-economic status. In this context, the need for alternative and innovative teaching techniques holds importance, and more artistic ...
Angélica Gutiérrez Cisneros   +4 more
doaj   +1 more source

Task Motivation and Transfer of Learning across Tasks: The Case of Learning the English Definite Article [PDF]

open access: yesIssues in Language Teaching, 2021
Task motivation has recently gained prominence in second language (L2) research. However, its potential effects on the transfer of learning across tasks have not been investigated.
Saeed Safdari
doaj   +1 more source

A Meta-Analysis of Ten Learning Techniques

open access: yesFrontiers in Education, 2021
This article outlines a meta-analysis of the 10 learning techniques identified in Dunlosky et al. (2013a), and is based on 242 studies, 1,619 effects, 169,179 unique participants, with an overall mean of 0.56.
Gregory M. Donoghue, John A. C. Hattie
doaj   +1 more source

Learning to Learn Transferable Attack

open access: yesProceedings of the AAAI Conference on Artificial Intelligence, 2022
Transfer adversarial attack is a non-trivial black-box adversarial attack that aims to craft adversarial perturbations on the surrogate model and then apply such perturbations to the victim model. However, the transferability of perturbations from existing methods is still limited, since the adversarial perturbations are easily overfitting with a single
Shuman Fang   +3 more
openaire   +4 more sources

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