Results 51 to 60 of about 8,451,453 (309)

Students’ perception of learning transfer: Which EAP skills transfer best?

open access: yesInternational Journal of English for Academic Purposes
English for academic purposes (EAP) courses improve English academic skills, build learner confidence, and prepare students for future academic success (Zou & Jiang, 2021). To be successful post-EAP, these skills must transfer to other learning contexts (
Julie McCarroll   +2 more
doaj   +1 more source

影響數位遊戲式學習行為與學習遷移成效之因素探討 Exploring the Factors that Influence Learning Behaviors and Learning Transfer in Digital Game-Based Learning

open access: yesJournal of Research in Education Sciences, 2010
近年來,數位遊戲式學習(Digital Game-based Learning, DGBL)已逐漸受到數位學習(e-Learning)的重視,但根據過去的一些研究發現,數位遊戲式學習者常會出現逃避學習的行為,且在數位遊戲式學習的成效上似乎也充滿不確定性。本研究以8 位國小學生為研究對象,透過質性為主的個案研究,經實地的觀察與訪談,深入分析影響數位遊戲式學習行為的因素,並探討影響學習者的遠遷移成效之因素。研究發現,本研究所採用的教育性線上遊戲雖可促使學生主動學習,但也會伴隨著不認真學習 ...
蔡福興 Fu-Hsing Tsai   +2 more
doaj   +1 more source

Inductive transfer for learning Bayesian networks [PDF]

open access: yes, 2009
In several domains it is common to have data from different, but closely related problems. For instance, in manufacturing, many products follow the same industrial process but with different conditions; or in industrial diagnosis, where there is ...
LUIS ENRIQUE SUCAR SUCCAR   +1 more
core  

Network Anomaly Detection Using Federated Learning and Transfer Learning

open access: yes, 2020
Since deep neural networks can learn data representation from training data automatically, deep learning methods are widely used in the network anomaly detection.
Jian Teng   +9 more
core   +1 more source

Modelling stem cell differentiation related processes—A practical overview for biologists

open access: yesFEBS Letters, EarlyView.
Stem cell differentiation is complex and difficult to control experimentally. This review introduces suitable computational modelling approaches that can support stem cell research, from mechanistic ODE and abstract models to multiscale and deep learning methods.
Ricco Zeegelaar   +4 more
wiley   +1 more source

Transfer of Learning of New Nursing Professionals: Exploring Patterns and the Effect of Previous Work Experience

open access: yesEducation Sciences, 2023
While numerous studies have focused on the learning transfer of in-company training in past decades, relatively few have explored the transfer of knowledge from university studies to the workplace, particularly in the context of nursing.
Helena Roig-Ester   +3 more
doaj   +1 more source

Design and analysis strategies for robust microbiome ageing research

open access: yesFEBS Letters, EarlyView.
The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik   +5 more
wiley   +1 more source

Learning Transfer in the Workplace: An Insight Into the Missing Link in the Education and Training of Employees

open access: yesStudies in Learning and Teaching, 2023
The goal of education and training is the transfer of learning which requires translating theories to knowledge, skills and learned behaviour. Education can only achieve its intended purpose when theories taught in the classroom are connected to ...
John Olayemi Okunlola
doaj   +1 more source

Transferable learning on analog hardware

open access: yesScience Advances, 2023
While analog neural network (NN) accelerators promise massive energy and time savings, an important challenge is to make them robust to static fabrication error. Present-day training methods for programmable photonic interferometer circuits, a leading analog NN platform, do not produce networks that perform well in the presence of static hardware ...
Sri Krishna Vadlamani   +2 more
openaire   +4 more sources

Reconstructing enzyme evolution by protein engineering

open access: yesFEBS Letters, EarlyView.
Natural enzyme evolution can be retraced by protein engineering methods such as directed evolution, rational design, and ancestral sequence reconstruction. These approaches reveal how enzymes emerged from ligand‐binding scaffolds, developed varying substrate preferences, formed oligomeric complexes, adapted to environmental changes, and evolved novel ...
Lukas Drexler   +2 more
wiley   +1 more source

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