Using comics in teaching mathematics to improve junior high school students' disaster awareness. [PDF]
Jamba, 2023 Mailizar M +5 more
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
AI in chemical engineering: From promise to practice
AIChE Journal, EarlyView.Abstract Artificial intelligence (AI) in chemical engineering has moved from promise to practice: physics‐aware (gray‐box) models are gaining traction, reinforcement learning complements model predictive control (MPC), and generative AI powers documentation, digitization, and safety workflows.
Jia Wei Chew +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
Frontiers in PsychologyThis 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
Unravelling Tutors' Conceptions of Teaching Mathematics in Virtual School Using a Goal-Action Model. [PDF]
Int J Sci Math Educ, 2023 Weissman S, Ayalon M, Leikin R.
europepmc +1 more source
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 +3 more
wiley +1 more source
A content analysis of research on technology use for teaching mathematics to students with disabilities: word networks and topic modeling. [PDF]
Int J STEM Educ, 2023 Shin M +5 more
europepmc +1 more source
Opening up and closing down : how teachers and TAs manage turn-taking, topic and repair in mathematics lessons [PDF]
, 2011 Support for children with special educational needs in inclusive classrooms is increasingly provided by teaching assistants (TAs). They often have a direct pedagogical role, taking responsibility for instruction in mathematics.
Blatchford, Peter +2 more
core +3 more sources
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 +4 more
wiley +1 more source