Results 91 to 100 of about 824,506 (307)

Artificial Intelligence‐Driven Insights into Electrospinning: Machine Learning Models to Predict Cotton‐Wool‐Like Structure of Electrospun Fibers

Advanced Intelligent Discovery, EarlyView.
Electrospinning allows the fabrication of fibrous 3D cotton‐wool‐like scaffolds for tissue engineering. Optimizing this process traditionally relies on trial‐and‐error approaches, and artificial intelligence (AI)‐based tools can support it, with the prediction of fiber properties. This work uses machine learning to classify and predict the structure of
Paolo D’Elia, Giovanna Pappalardo, Aldo R. Boccaccini, Liliana Liverani   +3 more
wiley   +1 more source

Retracted: Design and Research of Mathematics Teaching Intelligent Classroom Based on PCA-NN Algorithm. [PDF]

Comput Intell Neurosci, 2023
Neuroscience CIA.
europepmc   +1 more source

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

Advanced Intelligent Discovery, EarlyView.
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang, Xinyi Chen, Xu Ye, Yulin Yang, Bin Ai   +4 more
wiley   +1 more source

Aprendiendo a enseñar geometría en primaria. Análisis de simulaciones sobre la intervención

RELIEVE: Revista Electrónica de Investigación y Evaluación Educativa, 1997
This article shows and analyses a work developed in a context of initial training of teachers in the Geometry field. The experience starts from the need of link the training activities with the teaching-learning process of the elemental Maths.
Joaquín Giménez Rodríguez
doaj  

Anxiety as a mediator between preservice teachers' attitudes toward mathematics teaching and their self-efficacy beliefs

Frontiers in Psychology
This study examined the complex relationship between primary school preservice teachers' attitudes toward mathematics teaching and their self-efficacy beliefs, specifically investigating the mediating role of mathematics teaching anxiety.
Neşe Uygun, Murat Baş
doaj   +1 more source

Retracted: Effectiveness of Artificial Intelligence (AI) in Improving Pupils' Deep Learning in Primary School Mathematics Teaching in Fujian Province. [PDF]

Comput Intell Neurosci, 2023
Intelligence And Neuroscience C.
europepmc   +1 more source

An Introduction to STEMTEC and Pathways to Change [PDF]

, 2000
STEMTEC is the Massachusetts Collaborative for Excellence in Teacher Preparation. The first step in preparing future teachers is to have them experience effective teaching in college science and mathematics courses.
D\u27Avanzo, C., Yuretich, R. F.
core   +1 more source

Smart Flexible Tactile Sensors: Recent Progress in Device Designs, Intelligent Algorithms, and Multidisciplinary Applications

Advanced Intelligent Discovery, EarlyView.
Flexible tactile sensors have considerable potential for broad application in healthcare monitoring, human–machine interfaces, and bioinspired robotics. This review explores recent progress in device design, performance optimization, and intelligent applications. It highlights how AI algorithms enhance environmental adaptability and perception accuracy
Siyuan Wang, Ming Dong, Rongrong Bao, Caofeng Pan   +3 more
wiley   +1 more source

An Online Laboratory School research on pre-service mathematics teachers' experiences and mathematics teaching anxiety. [PDF]

Educ Inf Technol (Dordr), 2023
Tunç-Pekkan Z, Ölmez İB, Taylan RD.
europepmc   +1 more source

Retention in Mathematics students: problems and possible approaches. [PDF]

, 2015
This article describes and analyses the approach adopted by the Mathematics course team in UCLan to improve retention in the first year mathematics students.
Penazzi, Davide
core   +2 more sources