Results 121 to 130 of about 30,178,612 (303)

PRAKTIKUM BIOLOGI BERBASIS MASALAH DAN KEMAMPUAN BERPIKIR KRITIS SISWA

, 2014
: The learning of science in Indonesia is always involving the verbal learning of concepts and principles of science. Such learning leads the students to only acknowledge science terms based on memorizing, but without recognizing the significance.
Duda, Hilarius Jago
core  

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

STEM in chemistry

LUMAT
The development of students' problem-solving skills is vital for cultivating a future-ready workforce, particularly in the domains of Science, Technology, Engineering, and Mathematics (STEM) education.
Mokhzani Ibrahim, Nurul Atikah Mohd Badli   +1 more
doaj   +1 more source

Introducing problem-based learning as a learning strategy for Masters students [PDF]

, 2012
The introduction of problem-based learning (PBL) as an innovative strategy is often challenging to both teaching staff and students. This is particularly the case when it is only used on one module within a programme.
Bell, Janice
core  

New AI‐Assisted Approach for Expanding the Solution Space: Application to Lattice Structure Design

Advanced Engineering Materials, EarlyView.
This work introduces an innovative framework for designing structured materials by ex panding the design space through reparameterization of qualitative variables into continuous structural descriptors. Combined with machine‐learning‐based prediction and multi‐objective optimization, the approach enables the discovery of novel lattice architectures ...
G. H. Gahimbare, Y. Beideler, D. Chune, R. De Guio, T. Roland, H. Chibane   +5 more
wiley   +1 more source

DigiChrom: A Domain Ontology for Semantic Representation of Trivalent Chromium Platings and Its Large Language Model‐Based Alignment With Multiple Mid‐Level Ontologies

Advanced Engineering Materials, EarlyView.
Digitalizing electroplating requires both domain knowledge and interoperability. This work introduces PlatOn, a domain ontology for trivalent chromium plating and coating characterization, and a hybrid pipeline that aligns it to a mid‐level reference ontology by combining eight similarity metrics with language model reasoning. Expert‐validated mappings
Janik Harter, Elena Garcia Trelles, Christoph Schweizer, Thomas Seifert, Christoph Baumer, Mahmoud Elkady, Katja Feige, Daniel Grimme, Edgar Hoffmann, Andreas Waibel, Anke Walter   +10 more
wiley   +1 more source

Adaptive Foam 3D Printing of Ultralight and Multifunctional Materials

Advanced Engineering Materials, EarlyView.
Adaptive foam 3D printing, enabled by expandable microspheres, imparts cellular structures to thermoplastic and thermosetting polymers, manufactured through a variety of processes including fused filament fabrication, direct ink writing, digital light processing, and inkjet printing.
Nariman Rajabifar, Amir Ameli
wiley   +1 more source

Storytelling [Elektronisk resurs] : How To Become Who You Are Through Problem-based Learning [PDF]

This article discusses how problem-based learning combines with what I from Nietzsche call “becoming who you are”. It argues against thinking of problem-based learning merely as a method that integrates theory and practice. Using Foucault’s genealogy and
Jørgensen, Kenneth Mølbjerg, Jørgensen, Kenneth Mølbjerg,   +1 more
core   +1 more source

Entropy‐Driven Design of Low‐Melting‐Point Alloys via Compositionally Complex Strategy

Advanced Engineering Materials, EarlyView.
Conventional low‐melting‐point alloys (LMPAs) are limited by a narrow compositional space and inherent property trade‐offs. This review presents an entropy‐driven design strategy that overcomes these limitations, ushering in a new class of low‐melting‐point compositionally complex alloys (LMCCAs).
Yinghui Shang, Jianxiang Zhao, Zhaoqi Chen, Hao Gong, Yinsen Yan, Junlei Tao, Yong Yang   +6 more
wiley   +1 more source

Effect of Problem Complexity on Group Learning and Problem Solving Skills of Medical Students

Journal of Rawalpindi Medical College, 2016
Background: To analyze the effect of problem difficulty on group learning and problem solving skills of second year MBBS students. Methods: In this prospective descriptive study two problem based learning (PBL) scenarios (one easy and the other difficult)
Samia Sarwar
doaj