Results 171 to 180 of about 411,394 (273)

Prediction of Surface Topography Parameters in Direct Laser Interference Patterning of Stainless Steel Using Infrared Monitoring and Convolutional Neural Networks

Advanced Engineering Materials, EarlyView.
This study presents an infrared monitoring approach for direct laser interference patterning (DLIP) combined with a convolutional neural network (CNN). Thermal emission data captured during structuring are used to predict surface topography parameters.
Lukas Olawsky, Marcelo Sallese, Leander Kläber, Clemens Kuhn, Keming Du, Andrés Fabián Lasagni   +5 more
wiley   +1 more source

Survey data on students' perceptions, knowledge, and use of learning analytics (LA) and generative artificial intelligence (GenAI) for the personalization of learning. [PDF]

Data Brief
Calderón-Garrido D, Lindín C, Parcerisa L.   +2 more
europepmc   +1 more source

Untangling connections between challenges in the adoption of learning analytics in higher education. [PDF]

Educ Inf Technol (Dordr), 2023
Alzahrani AS, Tsai YS, Iqbal S, Marcos PMM, Scheffel M, Drachsler H, Kloos CD, Aljohani N, Gasevic D.   +8 more
europepmc   +1 more source

Zein‐Based Adhesives: Sustainable Extraction and Application in Bioadhesive Technologies

Advanced Engineering Materials, EarlyView.
Zein is extracted from corn gluten meal using a simple and scalable process with high yield (~90%). The resulting protein is applied in bioadhesives modified with Ca2+ and Fe3+ ions, exhibiting substrate‐dependent adhesion. The findings demonstrate competitive bonding performance and highlight the role of ionic interactions in tuning adhesion ...
Paula Bertolino Sanvezzo, Daniela Winsley Valereto Friozi, Vinícius de Oliveira, Marcia Cristina Branciforti   +3 more
wiley   +1 more source

AI-enabled learning analytics use relates to physical literacy and engagement in university PE via smart teaching and personalised feedback. [PDF]

Sci Rep
Chen Y, Xian D, Zhao Y, Sun Y, Ren Y, Wang C.   +5 more
europepmc   +1 more source

Correlation analysis using teaching and learning analytics. [PDF]

Heliyon, 2021
Prestes PAN, Silva TEV, Barroso GC.
europepmc   +1 more source

Additive Gaussian Process Regression for Predictive Design of High‐Performance, Printable Silicones

Advanced Engineering Materials, EarlyView.
A chemistry‐aware design framework for tuning printable polydimethylsiloxane (PDMS) for vat photopolymerization (VPP) is developed using additive Gaussian process (GP) modeling. Polymer network mechanics informs variable groupings, feasible formulation constraints, and interaction variables.
Roxana Carbonell, Martha Leach, Hongtao Song, Carolyn Seepersad   +3 more
wiley   +1 more source

Leveraging Learning Analytics to Model Student Engagement in Graduate Statistics: A Problem-Based Learning Approach in Agricultural Education. [PDF]

Behav Sci (Basel)
Xu Z, Choudhury FH, Ma S, Murphrey TP, Dooley KE.   +4 more
europepmc   +1 more source

Integration of artificial intelligence performance prediction and learning analytics to improve student learning in online engineering course. [PDF]

Int J Educ Technol High Educ, 2023
Ouyang F, Wu M, Zheng L, Zhang L, Jiao P.   +4 more
europepmc   +1 more source

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

Advanced 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, Anthony Gonzalez, Aleksander Aleman, Tyler Dolmetsch, Tanaji Paul, Arvind Agarwal   +5 more
wiley   +1 more source