Results 71 to 80 of about 4,232,509 (339)

Influence of Game-Based Learning in Mathematics Education on Students’ Affective Domain: A Systematic Review

open access: yesMathematics, 2021
In modern education nowadays, the use of game-based learning as a teaching and learning method is popular in all school subjects, including mathematics.
P. Vankúš
semanticscholar   +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

Game-based learning : augmented reality in the teaching of geometric solids

open access: yes, 2014
In teaching, the use of virtual and augmented reality has been on the rise, exploring different means of interaction and student engagement. Based on constructivist pedagogic principles, augmented reality pretends to provide the learner/user with ...
Rodrigues, João   +2 more
core   +1 more source

Game-Based Learning in an Online Environment

open access: yes, 2020
A game-based learning team exercise was specifically designed as a teaching tool which aimed to unlock the black box of cultivating student engagement in an online learning environment. In the exercise, online distance learning students were divided into
Ko, Stephen   +3 more
core   +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

Multimodal Data‐Driven Microstructure Characterization

open access: yesAdvanced Engineering Materials, EarlyView.
A self‐consistent autonomous workflow for EBSP‐based microstructure segmentation by integrating PCA, GMM clustering, and cNMF with information‐theoretic parameter selection, requiring no user input. An optimal ROI size related to characteristic grain size is identified.
Qi Zhang   +4 more
wiley   +1 more source

The Effect of Digital Game-Based Learning on Learning Motivation and Performance Under Social Cognitive Theory and Entrepreneurial Thinking

open access: yesFrontiers in Psychology, 2021
This study aims to investigate the effects of students’ learning motivation and learning performance in a digital game-based learning setting and the structure of competition.
Chia-Chen Chen, Hsing-Ying Tu
semanticscholar   +1 more source

Microstructure Evolution of a VMnFeCoNi High‐Entropy Alloy After Synthesis, Swaging, and Annealing

open access: yesAdvanced Engineering Materials, EarlyView.
The synthesis and processing (rotary swaging and annealing) of the novel VMnFeCoNi alloy is investigated, alongside the estimation of the grain size effect on hardness. Analysis of a wide grain size range of recrystallized microstructures (12–210 µm) reveals a low annealing twin density.
Aditya Srinivasan Tirunilai   +6 more
wiley   +1 more source

An integration of game-based learning in a classroom: an overview (2016 - 2021)

open access: yes, 2022
Games are increasingly becoming common in learning environments, and to match the requirements of developing a course as a game, a variety of technologies have been developed.
Ismaizam, Nur Maisarah   +10 more
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

Home - About - Disclaimer - Privacy