Results 91 to 100 of about 5,232 (309)

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

Meta-synthesis of school leadership competencies to support learner-centered, personalized education

Frontiers in Education
This study analyzes the corpus of research on how K–12 school leaders foster deeper learning by creating learner-centered, personalized learning opportunities for students.
Jayson W. Richardson, Sahar Khawaja
doaj   +1 more source

MERLIN Written Learner Corpus for Czech, German, Italian 1.1

, 2018
The MERLIN corpus is a written learner corpus for Czech, German, and Italian that has been designed to illustrate the Common European Framework of Reference for Languages (CEFR) with authentic learner data.
Boyd, Adriane, Meurers, Detmar, Woldt, Claudia, Bykh, Serhiy, Plassmann, Sybille, Krivanek, Julia, Vettori, Chiara, Klein, Gudrun, Abel, Andrea, Štindlová, Barbora, Blaschitz, Verena, Nicolas, Lionel, Hana, Jirka, Pečený, Pavel, Lauppe, Louise, Čurdová, Veronika, Schöne, Karin, Lyding, Verena, Wisniewski, Katrin, Vodičková, Kateřina   +19 more
core  

Toward Knowledge‐Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human–AI Synergy

Advanced Intelligent Discovery, EarlyView.
This perspective highlights how knowledge‐guided artificial intelligence can address key challenges in manufacturing inverse design, including high‐dimensional search spaces, limited data, and process constraints. It focused on three complementary pillars—expert‐guided problem definition, physics‐informed machine learning, and large language model ...
Hugon Lee, Hyeonbin Moon, Junhyeong Lee, Seunghwa Ryu   +3 more
wiley   +1 more source

From second language acquisition research to foreign language teaching through the prism of corpora

Ampersand
Corpus linguistics can be seen as a set of methods applicable to different branches of linguistics. This article deals with the application of corpus linguistics (including learner corpus research) to second language acquisition (SLA) research and ...
Gaëtanelle Gilquin
doaj   +1 more source

Investigating L2 spoken English through the role play learner corpus

Studies in Second Language Learning and Teaching, 2011
We describe an exploratory study carried out within the University of Milan, Department of English the aim of which was to analyse features of the spoken English of first-year Modern Languages undergraduates. We compiled a learner corpus, the “Role Play”
Andrea Nava, Luciana Pedrazzini
doaj   +1 more source

Corpus-based collocation research targeted at Japanese language learners

Acta Linguistica Asiatica, 2014
This paper discusses corpus-based research on collocations, introduces various tools for querying and extracting Japanese collocations and presents an analysis of Japanese collocations using language corpora and related tools. First, major corpus query tools such as Sketch Engine, NINJAL-NLP, Natsume, Chunagon, which can be used by learners and ...
openaire   +4 more sources

Evolution of Physical Intelligence Across Scales

Advanced Intelligent Discovery, EarlyView.
By following the evolution of physical intelligence across scales, this article shows how intelligence arises from materials, structures, physical interactions, and collectives. It establishes physical intelligence as the evolutionary foundation upon which embodied intelligence is built.
Ke Liu, Tianyun Huang, Aming Li, Pengyu Lv, Tingting Qin, Wenhui Chen, Hui Wei, Huiling Duan   +7 more
wiley   +1 more source

Automating AI Discovery for Biomedicine Through Knowledge Graphs and Large Language Models Agents

Advanced Intelligent Discovery, EarlyView.
This work proposes a novel framework that automates biomedical discovery by integrating knowledge graphs with multiagent large language models. A biologically aligned graph exploration strategy identifies hidden pathways between biomedical entities, and specialized agents use this pathway to iteratively design AI predictors and wet‐lab validation ...
Naafey Aamer, Muhammad Nabeel Asim, Shan Munir, Andreas Dengel   +3 more
wiley   +1 more source

CLIL, learner variables and statistical analysis – What is left when you've done it all?

, 2015
As more and more Content and Language Integrated Learning (CLIL) programmes are being introduced in schools throughout Europe, Bruton (2011, 523) notes that "[i]t seems to be characteristic of many of the CLIL initiatives in the EU and much of the ...
Möller, Verena, Learner Corpus Research
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