Results 81 to 90 of about 374,807 (260)

PASTA‐ELN: Simplifying Research Data Management for Experimental Materials Science

Advanced Engineering Materials, EarlyView.
Research data management faces ongoing hurdles as many ELNs remain complex and restrictive. PASTA‐ELN offers an open‐source, cross‐platform solution that prioritizes simplicity, offline access, and user control. Its in tuitive folder structure, modular Python add‐ons, and open formats enable seamless documentation, FAIR data practices, and easy ...
S. Brinckmann, G. Winkens, R. Schwaiger
wiley   +1 more source

Digital Transformation of Learning Organizations

, 2021
This open access volume provides insight into how organizations change through the adoption of digital technologies. Opportunities and challenges for individuals as well as the organization are addressed. It features four major themes: 1. Current research exploring the theoretical underpinnings of digital transformation of organizations. 2.
openaire   +1 more source

Current Status and Challenges in Data Collection for Aerospace Coatings Deposited by Plasma Spraying

Advanced Engineering Materials, EarlyView.
An innovative approach has been integrated into the GRENAT project to optimize plasma spraying and coating performance. Raw materials are accelerated and melted in the plasma generated by torches, creating coatings. Monitoring sensors collect process data which are combined with ex situ characterization data.
Lila Randriamananjara, Vincent Rat, Quentin Dubreuil, Patrice Valorge, Simon Goutier, Alain Denoirjean, Olivier Messe, Céline Ruelle, Jean‐Philippe Poli   +8 more
wiley   +1 more source

Workflow for Design of Experiments‐Based Modeling of Species Transport and Growth Kinetics in GaN Hydride Vapor Phase Epitaxy

Advanced Engineering Materials, EarlyView.
A novel workflow for investigating hydride vapor phase epitaxy for GaN bulk crystal growth is proposed. It combines Design of experiments (DoE) with physical simulations of mass transport and crystal growth kinetics, serving as an intermediate step between DoE and experiments.
J. Tomkovič, G. Lukin, H. Torkashvand, A. Kerschbaum, M. Müller, S. Besendörfer, J. Heitmann, J. Friedrich   +7 more
wiley   +1 more source

Digital Ethics in Federated Learning

IEEE Internet Computing
The Internet of Things (IoT) consistently generates vast amounts of data, sparking increasing concern over the protection of data privacy and the limitation of data misuse. Federated learning (FL) facilitates collaborative capabilities among multiple parties by sharing machine learning (ML) model parameters instead of raw user data, and it has recently
Liangqi Yuan, Ziran Wang, Christopher G. Brinton   +2 more
openaire   +2 more sources

Autotune for Knowledge: A Generative Metaphor for AI in Education

Journal of Interactive Media in Education
This paper explores how Donald Schön’s concept of generative metaphor can serve as a conceptual frame for problematising AI in education. Our focus is on the metaphor of AI as autotune for knowledge, as originally proposed by educator Dave Cormier ...
Jack Walton, Dave Cormier
doaj   +1 more source

An Experimental High‐Throughput Approach for the Screening of Hard Magnet Materials

Advanced Engineering Materials, EarlyView.
An entire workflow for the high‐throughput characterization and analysis of compositionally graded magnetic films is presented. Characterization protocols, data management tools and data analysis approaches are illustrated with test case Sm(Fe, V)12 based films.
William Rigaut, Pierre Le Berre, Hamdi Jaballah, Lukas Fink, Victor Poline, Richard Haettel, Stéphane Grenier, Gilbert Chahine, Ewen Bellec, Guillaume Buatier, Wilfried Hortschitz, Santa Pile, Thomas Schrefl, Nils Blanc, Yuan Hong, Thibaut Devillers, Nora M. Dempsey   +16 more
wiley   +1 more source

Editorial: Affective Learning in Digital Education [PDF]

Frontiers in Psychology, 2021
Gegenfurtner, Andreas, Narciss, Susanne, Fryer, Luke K., Järvelä, Sanna, Harackiewicz, Judith M.   +4 more
openaire   +5 more sources

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

結合反思平臺之數位敘事教學對研究生 反思表現、數位敘事自我效能及小組 數位敘事表現之影響 The Effects of Digital Storytelling With the Reflective Platform on Graduate Students’ Reflective Thinking, Digital Storytelling Self-efficacy, and Collaborative Digital Storytelling Performance

Journal of Research in Education Sciences
本研究旨在探討結合反思平臺之數位敘事教學對研究生反思表現、數位敘事自我效能以及小組數位敘事表現的影響。研究對象為臺北市一所科技大學28名研究生，採用「單組前後測設計」，實施為期18週的實驗教學，並進行反思表現與數位敘事自我效能之前、後測問卷，以及評估小組的數位敘事表現。此外，以質性訪談探討學生在結合反思平臺之數位敘事教學的學習經驗及看法。量化研究結果顯示，經過結合反思平臺之數位敘事教學可提升研究生反思表現中的思考深化，以及數位敘事自我效能。此外，小組合作之數位敘事作品亦有良好的表現。質性資料則發現 ...
陳秀玲 Hsiu-Ling Chen, 潘姿佑 Tzu-Yu Pan   +1 more
doaj   +1 more source