Results 181 to 190 of about 10,766,892 (290)

Pre-qualifications, learning strategies, and study satisfaction among medical students: insights from a multicenter German study. [PDF]

Med Educ Online
Schröpel C, Herrmann-Werner A, Festl-Wietek T, Wittenberg T, Herpertz SC, Schüttpelz-Brauns K, Heinzmann A, Böckers T, Zipfel S, Erschens R.   +9 more
europepmc   +1 more source

Ontology‐Aligned Structuring and Reuse of Multimodal Materials Data and Workflows Toward Automatic Reproduction

Advanced Engineering Materials, EarlyView.
Reproduction of stacking fault energy calculations from literature with a semi‐automated large language model‐assisted extraction procedure: extraction of simulation protocol, atomistic structures, computational parameters, and reported results, ontology alignment, knowledge graph construction and, finally, recomputation forvalidation.
Sepideh Baghaee Ravari, Abril Azocar Guzman, Sarath Menon, Stefan Sandfeld, Tilmann Hickel, Markus Stricker   +5 more
wiley   +1 more source

Learning Strategies :

The Japanese Journal of Educational Psychology, 2012
openaire   +3 more sources

The Need for Explicit Teaching of Learning Strategies in Undergraduate Medical Education in Pakistan. [PDF]

Pak J Med Sci
Yousuf N, Ali MY.
europepmc   +1 more source

Symmetry‐Guided Multifunctional Acoustic System Based on Mechanically Actuated Sonic Crystals

Advanced Engineering Materials, EarlyView.
This study presents the design, simulation, and experimental validation of amultifunctional acoustic metamaterial based on rotationally engineered sonic crystals.By tuning cylinder orientations, controllable band gaps and six distinct functionalities—including switching, topological insulation, beam splitting, and logic operations—areachieved ...
Yuanyan Zhao, Sriram Subramanian, Gianluca Memoli   +2 more
wiley   +1 more source

Students' Perceptions of Effective Math Learning Strategies. [PDF]

Behav Sci (Basel)
Hartwig MK, Rohrer D.
europepmc   +1 more source

Microstructure Reconstruction in Battery Electrodes Using Machine Learning Based on Low‐Voltage Focused Ion Beam–Scanning Electron Microscopy Tomography Images

Advanced Engineering Materials, EarlyView.
Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran, Vincent Nebel, Dominik Perius, Kshitij Kumar, Yannis Heim, Laura Bies, Tobias Kraus   +6 more
wiley   +1 more source

Segmentation of nursing students' learning strategies: A combined hierarchical and non-hierarchical clustering approach. [PDF]

J Educ Health Promot
Ait Moussa K, Selmaoui S, Ouzennou N.
europepmc   +1 more source

Machine Learning‐Supported Analysis for Predicting and Visualizing Nonlinear Relationships Between Material Properties in Electroplated Chromium Layers

Advanced Engineering Materials, EarlyView.
This study applies machine learning regression to predict chromium layer thickness in decorative trivalent chromium electroplating, using 441 experiments from laboratory‐scale (1L) and pilot‐scale (14L) setups. Tree‐based models, particularly CatBoost, outperformed linear regression by capturing nonlinear parameter interactions (R2$R^2$ up to 0.77 ...
Christoph Baumer, Christopher Mai, Luca Eisentraut, Andreas Bund, Ricardo Buettner   +4 more
wiley   +1 more source

Motivational orientation and practice-scheduling patterns as correlates of self-regulated learning strategies in pre-professional cello students: a predictive-correlational study. [PDF]

Front Psychol
Koca Ş, Altunoluk BM.
europepmc   +1 more source