Results 161 to 170 of about 321,627 (335)
Effective teaching in computational thinking: A bias-free alternative to the exclusive use of students' evaluations of teaching (SETs). [PDF]
Mendoza Diaz NV, Sotomayor T.
europepmc +1 more source
Cuttlebone‐inspired metamaterials exploit a septum‐wall architecture to achieve excellent mechanical and functional properties. This review classifies existing designs into direct biomimetic, honeycomb‐type, and strut‐type architectures, summarizes governing design principles, and presents a decoupled design framework for interpreting multiphysical ...
Xinwei Li, Zhendong Li
wiley +1 more source
Corrigendum: Teaching programming and computational thinking in early childhood education: a case study of content knowledge and pedagogical knowledge. [PDF]
Zeng Y, Yang W, Bautista A.
europepmc +1 more source
From Bug to Feature: Harnessing Cross‐Sensitivity for Multiparametric Luminescence Sensing
Cross‐sensitivity in luminescence sensing is reframed from a limitation into a resource for multiparametric detection. Using ruby microspheres as a model system, cross‐sensitivity is quantitatively assessed and exploited through linear discriminant analysis, enabling simultaneous, correction‐free pressure and temperature sensing with a single ...
Nikita Panov +5 more
wiley +1 more source
Computational Thinking to Learn Environmental Sustainability: A Learning Progression. [PDF]
Christensen D.
europepmc +1 more source
Dispensing Volumetric Additive Manufacturing
Dispensing volumetric additive manufacturing (DVAM) prints 3D structures inside a photocurable resin droplet suspended from the tip of a glass pipette, enabling sequential printing without resin vats or manual part removal. Real‐time droplet profiling and ray‐tracing‐based correction compensate for optical distortion at the curved resin‐air interface ...
Hongryung Jeon +5 more
wiley +1 more source
Educational Robotics for Developing Computational Thinking in Young Learners: A Systematic Review. [PDF]
Ching YH, Hsu YC.
europepmc +1 more source
We present a fully automated Bayesian optimization (BO) protocol for the parameterization of nonbonded interactions in coarse‐grain CG force fields (BACH). Using experimental thermophysical data, we apply the protocol to a broad range of liquids, spanning linear, branched, and unsaturated hydrocarbons, esters, triglycerides, and water.
Janak Prabhu +3 more
wiley +1 more source
Fostering preservice teachers' expectancies and values towards computational thinking. [PDF]
Weber AM +4 more
europepmc +1 more source

