Results 41 to 50 of about 26,958,910 (241)

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

open access: yesAdvanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt   +8 more
wiley   +1 more source

Developing a game-based learning assessment framework towards ubiquitous computational thinking among undergraduate students

open access: yesJournal of ICT in Education, 2021
This article discusses on a working study from a research on the usage of a game-based learning assessment framework as a standard guideline to assess undergraduate students' understanding and performance towards ubiquitous computational thinking ...
Jonathan Hiew Yin Kin   +3 more
doaj   +1 more source

Thermodynamic Pathways of Nonequilibrium Solidification in Wire‐Arc Additive Manufacturing Fe‐Based Multicomponent Alloy Structures

open access: yesAdvanced Engineering Materials, EarlyView.
Geometry‐driven thermal behavior in wire‐arc additive manufacturing (WAAM) influences microstructural evolution during nonequilibrium solidification of a chemically complex Fe–Cr–Nb–W–Mo–C nanocomposite system. By comparing different deposits configurations, distinct entropy–cooling rate correlations, segregation, and carbide evolution are revealed ...
Blanca Palacios   +5 more
wiley   +1 more source

Level Up Intrinsic Motivation Using Gamification and Game-Based Learning

open access: yesJournal of Interdisciplinary Teacher Leadership, 2016
The purpose of this literature review is to compare and contrast gamification and game-based learning (GBL) and examine the benefits of using these strategies to encourage intrinsic motivation.
Cindy Bullard
doaj   +1 more source

Patterns of game playing behavior as indicators of mastery

open access: yes, 2022
S.85-103Every game is a serious one, i.e., every game is appropriate for some learning. How it works and what is learned depends on the context of game playing. Assuming suitable formalizations, there are patterns of game playing behavior.
Jantke, K.P.
core   +1 more source

Is an Apple an Orange? A Large Language Model Benchmark for Candidate Term Extraction and Subclass Decisions Against Upper Ontologies in Engineering and Materials Science

open access: yesAdvanced Engineering Materials, EarlyView.
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch   +3 more
wiley   +1 more source

Business Process Simulation Game as a Business Process Learning Tool for Retail Companies

open access: yesJIRAE (International Journal of Industrial Research and Applied Engineering), 2021
Game-based Learning has become one of the most developed learning methods in this 21st century. Game-based Learning is a good learning method because it can create a virtual world where players can simulate real-world problem-solving.
Joella Joella   +2 more
doaj   +1 more source

Game-based learning to engage students with physics and astronomy using a board game

open access: yes, 2019
In this research article, the authors developed a novel astronomy board game and examined how this approach could facilitate the learning and teaching of astronomy topics covered in the new Irish Science Syllabus.
Cardinot, Adriana   +1 more
core   +1 more source

Bad Game, Good Learning : Examining the Contradictions of Digital Game-Based Learning

open access: yes, 2020
This paper aims to explore some of the inherent dichotomies between games and learning. This is not referring to the already thoroughly discussed challenge of merging learning content into appealing and engaging game design, but rather to a more ...
Romin, Rebecca,, Berg Marklund, Björn,
core   +1 more source

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

open access: yesAdvanced 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   +6 more
wiley   +1 more source

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