Results 91 to 100 of about 8,161,576 (257)

Expanding the notion of global learning: Turkish-Dutch teens’ networked configurations for learning [PDF]

, 2020
Digital technology facilitate interactions between learners and resources at a global level. New learner prototypes are therefore proposed, such as the notion of the global learner.
Ünlüsoy, Asli, de Haan, M.J., Leerstoel Haan, Education and Learning: Cognitive and Motor Disabilities, de Haan, Mariëtte, Ünlüsoy, A.   +5 more
core   +2 more sources

Wasserstein Transfer Learning

CoRR
25 pages, 6 figures, NeurIPS ...
Kaicheng Zhang, Sinian Zhang, Doudou Zhou, Yidong Zhou   +3 more
openaire   +3 more sources

Self‐Regulated Learning Meets AI: Reinterpreting Self‐Regulation, Co‐Regulation, and Socially Shared Regulation in Human–AI Interaction

New Directions for Adult and Continuing Education, EarlyView.
ABSTRACT Advancing artificial intelligence (AI) has transformed learning and work, yet higher education and professional development programs have not systematically equipped learners for AI‐prevalent environments. This lack of preparation creates uncertainty regarding control, responsibility, trust, and accountability.
Moon‐Heum Cho, Jerusalem Merkebu
wiley   +1 more source

Can involving clients in simulation studies help them solve their future problems? A transfer of learning experiment [PDF]

, 2015
It is often stated that involving the client in operational research studies increases conceptual learning about a system which can then be applied repeatedly to other, similar, systems.
Robinson, Stewart, Stewart Robinson (1258410), Thomas Monks (3553064), Monks, Thomas, Katherine Kotiadis (7196036), Kotiadis, Kathy   +5 more
core   +1 more source

Advancing Age Modulates Associations Between Cognitive Impairment and Brain Volumes in Early MS

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Introduction Cognitive impairment is common in multiple sclerosis (MS), but manifestations following the first demyelinating event are relatively unexplored. We investigated cross‐sectional associations between magnetic resonance imaging (MRI)–derived brain volumes and the presence of cognitive impairment outcomes five years after the first ...
Piriyankan Ananthavarathan, Marco Pitteri, Michael Foster, Sara Collorone, Sara Salama, Elisa Colato, Ferran Prados, Baris Kanber, Marios Yiannakas, Claudia A. M. Gandini Wheeler‐Kingshott, Indran Davagnanam, Frederik Barkhof, Declan Chard, Olga Ciccarelli, Ahmed Toosy   +14 more
wiley   +1 more source

Learning lessons, policy transfer and the international diffusion of policy ideas [PDF]

, 2001
The literature on policy transfer, diffusion and convergence as well as lesson drawing is burgeoning. The common theme among studies in this field is the concern with ‘knowledge about how policies, administrative arrangements, institutions and ideas in ...
Stone, Diane
core  

HugoJPMartin/transfer-linux: Transfer Learning for Linux

, 2021
This is the first release of the Python code that perform transfer learning of binary size prediction models for Linux ...
HugoJPMartin
core   +1 more source

Comparing the Effect of Semi‐Immersive Virtual Reality, Computerized Cognitive Training, and Traditional Rehabilitation on Cognitive Function in Multiple Sclerosis: A Randomized Clinical Trial

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Cognitive impairment is a common non‐motor symptom in Multiple Sclerosis (MS), negatively affecting autonomy and Quality of Life (QoL). Innovative rehabilitation strategies, such as semi‐immersive virtual reality (VR) and computerized cognitive training (CCT), may offer advantages over traditional cognitive rehabilitation (TCR ...
Maria Grazia Maggio, Desiree Latella, Lilla Bonanno, Paulo Cezar Rocha dos Santos, Marcos Maldonado‐Díaz, Meir Plotnik, Rosaria De Luca, Angelo Quartarone, Rocco Salvatore Calabrò   +8 more
wiley   +1 more source

Deep Learning for Electromyographic Hand Gesture Signal Classification Using Transfer Learning

, 2019
In recent years, deep learning algorithms have become increasingly more prominent for their unparalleled ability to automatically learn discriminant features from large amounts of data.
Latyr Fall, Cheikh, Côté-Allard, Ulysse, Glette, Kyrre, Drouin, Alexandre, Fall, Cheikh Latyr, Campeau-Lecours, Alexandre, Gosselin, Benoit, Laviolette, Francois, Côté Allard, Ulysse, Gosselin, Clément   +9 more
core   +1 more source

Early Clinical, Imaging, and Pathological Characteristics of SRPK3/TTN‐Digenic Myopathy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective SRPK3/TTN‐digenic myopathy was recently established as a skeletal muscle myopathy caused by digenic inheritance. This study characterizes the early clinical presentation of SRPK3/TTN‐digenic myopathy in one previously reported and seven newly identified pediatric patients.
Rotem Orbach, Sandra Donkervoort, Carola Hedberg‐Oldfors, Giovanni Baranello, Dimah Saade, Precilla D'Souza, Ruchee Patel, Eva Michael, A. Reghan Foley, Diana Bharucha‐Goebel, S. Jin Haugland, Meghan McAnally, Omer Abdul Hamid, Katherine Chao, Ellen F. Macnamara, Alan H. Beggs, Anna Sarkozy, Juliane Mueller, Steven A. Moore, Richard S. Finkel, Cynthia J. Tifft, Francesco Muntoni, Anders Oldfors, Carsten G. Bönnemann   +23 more
wiley   +1 more source