Results 101 to 110 of about 8,505,725 (258)
What Do Large Language Models Know About Materials?
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer +2 more
wiley +1 more source
Shifting the focus in teacher education: foregrounding the value of teacher/student relationships [PDF]
Alternate or non-traditional educational settings within Australia have undergone a period of expansion over the last decade, yet there has not been any substantive recognition of this growth within teacher education programs (Plunkett & Dyson, 2010 ...
Dyson, Michael, Plunkett, Margaret
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Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch +3 more
wiley +1 more source
Council on Technology Teacher Education Yearbook Indices Compendium
This document covers Yearbooks of the American Council on Industrial Arts Teacher Education and Council on Technology Teacher Education, 1952 – 2009. The list is not meant to replicate the indices which have appeared at the end of most of the yearbooks ...
Council on Technology Teacher Education (U.S.)
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A Lightweight Procedural Layer for Hybrid Experimental–Computational Workflows in Materials Science
We unveil a prototype hybrid‐workflow framework that fuses automatedcomputation with hands‐on experiments. Built atop pyiron, a lightweight, parameterized layer translates procedure descriptions into executable manual steps, syncing instrument settings, human interventions, and data capture in real‐time today.
Steffen Brinckmann +8 more
wiley +1 more source
Previous studies indicated that the SNARC effect can stably present in numerical cognition, however how the orientation influence the SNARC effect when Arabic numbers were rotated to left or right space remains unclear.
Qiangqiang Wang +4 more
doaj +1 more source
This symposium will report on a project that was developed in response to an invitation from the Parramatta Catholic Education Office (CEO) for the School of Education, University of Western Sydney to provide consultancy services to four schools in the ...
Sinclair, Catherine +9 more
core
Reproduction of stacking fault energy calculations from literature with a semi‐automated large language model‐assisted extraction procedure: extraction of simulation protocol, atomistic structures, computational parameters, and reported results, ontology alignment, knowledge graph construction and, finally, recomputation forvalidation.
Sepideh Baghaee Ravari +5 more
wiley +1 more source
Traditional teaching methods have become obsolete in modern society, especially in preparing prospective elementary school teachers to face the challenges of the 21st century.
Setyo Eko Atmojo +4 more
doaj +1 more source
Digitalizing electroplating requires both domain knowledge and interoperability. This work introduces PlatOn, a domain ontology for trivalent chromium plating and coating characterization, and a hybrid pipeline that aligns it to a mid‐level reference ontology by combining eight similarity metrics with language model reasoning. Expert‐validated mappings
Janik Harter +10 more
wiley +1 more source

