Results 71 to 80 of about 3,757,873 (288)

Climate Change Agricultural Comparative Advantage and the US Trade Balance

open access: yesApplied Economic Perspectives and Policy, EarlyView.
ABSTRACT Current science indicates that warming and elevated atmospheric CO2 will have ambiguous results for crop productivity depending on crop type and geographic location, whereas increased heat stress makes livestock and human labor less productive.
Elizabeth A. Fraysse   +2 more
wiley   +1 more source

Classroom-based professional expertise: a mathematics teacher’s practice with technology

open access: yesEducational Studies in Mathematics, 2016
This study examines the classroom practice and craft knowledge underpinning one teacher’s integration of the use of GeoGebra software into mathematics teaching. The chosen teacher worked in an English secondary school and was professionally well regarded
Gulay Bozkurt, Kenneth Ruthven
semanticscholar   +1 more source

AI in chemical engineering: From promise to practice

open access: yesAIChE 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

A design approach to mathematics teacher educator development in East Africa

open access: yesJournal of Research and Advances in Mathematics Education, 2020
Mathematical functioning in sub-Saharan Africa remains persistently weak in global terms. This limits the flourishing of young people and communities in the region. Moreover, affordable, effective ways to address the issue are not well established.
Jennie Golding   +1 more
doaj   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Investigating Elementary School Teacher Gestures in Mathematics Teaching and Learning

open access: yesJTAM (Jurnal Teori dan Aplikasi Matematika), 2023
Gestures was an important in mathematics teaching and learning because it can increase student’s cognitive load. however, many teachers pay little attention to gestures in carrying out learning in class.
Nasrun Nasrun, M. Syawahid, Irwan Akib
doaj  

Mathematics Teacher Retention [PDF]

open access: yes, 2015
The main question addressed in this Discussion Group is whether professional development can have a positive effect on the retention of mathematics teacher, and if so what is the nature of professional development that leads to teacher retention and how (what are the mechanisms by which) such professional development supports teacher retention.
Axelle Faughn, Barbara Pence
openaire   +1 more source

Teachers and their Educators - Views on Contents and their Development Needs in Mathematics Teacher Education

open access: yesThe Mathematics Enthusiast, 2016
IntroductionFinland has scored well in international assessments (e.g., PISA, TIMSS), and the Finnish school system has been rated as being of top quality.
Mika Koponen   +3 more
semanticscholar   +1 more source

CrossMatAgent: AI‐Assisted Design of Manufacturable Metamaterial Patterns via Multi‐Agent Generative Framework

open access: yesAdvanced Intelligent Discovery, EarlyView.
CrossMatAgent is a multi‐agent framework that combines large language models and diffusion‐based generative AI to automate metamaterial design. By coordinating task‐specific agents—such as describer, architect, and builder—it transforms user‐provided image prompts into high‐fidelity, printable lattice patterns.
Jie Tian   +12 more
wiley   +1 more source

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

open access: yesAdvanced 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

Home - About - Disclaimer - Privacy