Results 171 to 180 of about 15,641,518 (273)

Technology-enhanced learning frequency and perceived academic acceleration in AI-mediated digital learning environments: self-efficacy as an indirect pathway and learning motivation as a boundary condition. [PDF]

Front Psychol
Chen X, Qi Z, Ou Y.
europepmc   +1 more source

Using medical reality television as a technology-enhanced learning strategy to provide authentic patient care experiences during clinical placements: a case study research investigation. [PDF]

BMC Med Educ, 2021
Osborne F, Harrison M, Fisher J, Bateman B.   +3 more
europepmc   +1 more source

All‐in‐One Analog AI Hardware: On‐Chip Training and Inference with Conductive‐Metal‐Oxide/HfOx ReRAM Devices

Advanced Functional Materials, EarlyView.
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone, Victoria Clerico, Wooseok Choi, Tommaso Stecconi, Folkert Horst, Laura Bégon‐Lours, Matteo Galetta, Antonio La Porta, Nikhil Garg, Fabien Alibart, Bert Jan Offrein, Valeria Bragaglia   +11 more
wiley   +1 more source

Motivational dynamics in technology-enhanced learning: a parsimonious model of self-efficacy, ICT use, and mathematics achievement. [PDF]

Front Psychol
Zhang Q, Zhou Q, Song M.
europepmc   +1 more source

Perception of Technology-Enhanced Learning by Medical Students: an Integrative Review. [PDF]

Med Sci Educ, 2020
Plch L.
europepmc   +1 more source

Intermediate Resistive State in Wafer‐Scale Vertical MoS2 Memristors Through Lateral Silver Filament Growth for Artificial Synapse Applications

Advanced Functional Materials, EarlyView.
In MOCVD MoS2 memristors, a current compliance‐regulated Ag filament mechanism is revealed. The filament ruptures spontaneously during volatile switching, while subsequent growth proceeds vertically through the MoS2 layers and then laterally along the van der Waals gaps during nonvolatile switching.
Yuan Fa, Milan Buttberg, Ke Ran, Rana Walied Ahmad, Dennis Braun, Lukas Völkel, Jimin Lee, Sofía Cruces, Bart Macco, Bárbara Canto, Holger Lerch, Thorsten Wahlbrink, Holger Kalisch, Michael Heuken, Andrei Vescan, Joachim Mayer, Zhenxing Wang, Ilia Valov, Stephan Menzel, Max C. Lemme   +19 more
wiley   +1 more source

Correction: An activity theory approach to analysing student learning of human anatomy using a 3D-printed model and a digital resource

BMC Medical Education
Jason Wen Yau Lee, Li Xiang Tessa Low, Dennis Wenhui Ong, Fernando Bello, Reuben Chee Cheong Soh   +4 more
doaj   +1 more source

Deep learning-based multi-criteria recommender system for technology-enhanced learning. [PDF]

Sci Rep
Salau L, Mohamed H, Abdulsalam YS, Mohammed H.   +3 more
europepmc   +1 more source

Optoelectronic Synaptic Devices Using Molecular Telluride Phase‐Change Inks for Three‐Factor Learning

Advanced Functional Materials, EarlyView.
Optoelectronic synaptic devices based on solution‐processed molecular telluride GST‐225 phase‐change inks are demonstrated for three‐factor learning. A global optical signal broadcast through a silicon waveguide induces non‐volatile conductance updates exclusively in locally electrically flagged memristors.
Kevin Portner, Dhananjeya Kumaar, Giacomo Torti, Killian Keller, Till Zellweger, Florian M. Schenk, Christoph Weilenmann, Daniel Chelladurai, Vara Prasad Jonnalagadda, Ghazi Sarwat Syed, Vanessa Wood, Jürg Leuthold, Alexandros Emboras, Maksym Yarema, Mathieu Luisier   +14 more
wiley   +1 more source

Advancing Medical Education: Assessing Technology-Enhanced Learning Through the Lens of the Canadian Medical Education Directions for Specialists (CanMEDS) Framework-A Perspective Study. [PDF]

Health Sci Rep
Asadi M, Karimian Z.
europepmc   +1 more source