Results 71 to 80 of about 316,390 (293)
Humanities & Social Sciences CommunicationsThe importance of vocabulary knowledge in reading comprehension is well-recognized, and its relationship with comprehension has been widely explored in previous studies.
Tuoxiong Wang, Haomin Zhang
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Advanced 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
Identifying dimensions of vocabulary knowledge in the Word Associates Test
Vocabulary Learning and Instruction, 2012 Depth of vocabulary knowledge (DVK) (i.e. how much a learner knows about the words he knows) is typically conceptualized as a psychologically multidimensional construct, including various forms of word knowledge. Read’s Word Associates Test (WAT) is the
Aaron Batty
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The interrelatedness of lexis and morphology in English language learning [PDF]
Zbornik Radova Filozofskog Fakulteta u Prištini, 2017 The past few decades have seen a sparked interest in the development of vocabulary knowledge in both L1 and L2 learners, resulting in an ever increasing body of research which supports the view that vocabulary and morphology are closely related ...
Danilović-Jeremić Jelena P.
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Measure for Measure: A Critical Consumers' Guide to Reading Comprehension Assessments for Adolescents [PDF]
, 2009 A companion report to Carnegie's Time to Act, analyzes and rates commonly used reading comprehension tests for various elements and purposes.
Catherine Snow +2 more
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Continuous Improvement Through Knowledge-Guided Analysis in Experience Feedback [PDF]
, 2011 Continuous improvement in industrial processes is increasingly a key element of competitiveness for industrial systems. The management of experience feedback in this framework is designed to build, analyze and facilitate the knowledge sharing among ...
Geneste, Laurent +3 more
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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
Free Productive Ability and Lexical Text Analysis to Improve Student Writing [PDF]
, 2018 The classroom is often an arena of Controlled Productive Ability. Within this system, the teacher issues communiques and makes deposits which the students patiently receive, memorize, and repeat.
Deadman, Mark
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LLM‐Based Scientific Assistants for Knowledge Extraction: Which Design Choices Matter?
Advanced Intelligent Discovery, EarlyView.A comprehensive framework for optimizing Large Language Models in domain‐specific applications is introduced. The LLM Playground integrates Prompt Engineering, knowledge augmentation, and advanced reasoning strategies to enable systematic comparison of architectures and base models.
David Exler +7 more
wiley +1 more source
Do you delve below the tip of the iceberg? Language for thinking and learning [PDF]
, 2017 What are the similarities between an iceberg and language and literacy? Usually only about 10% of an iceberg is above the surface; the shape of the underwater portion is difficult to judge and can cause problems for the unwary.
Lennox, Sandra
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