Results 71 to 80 of about 345,020 (291)
Cogent Education, 2019 The current study was an attempt to investigate the possible effects of lexical inference strategy training on Iranian upper-intermediate EFL learners’ vocabulary depth and breadth.
Zahra Hassanzadeh +2 more
doaj +1 more source
The Impact of Vocabulary Knowledge on the Reading Comprehension of Saudi EFL Learners
Journal of Language and Education, 2019 Vocabulary knowledge is the building block of learning a second language and the degree of success for learning any language depends on the amount of vocabulary a learner possesses.
Fadi Al-Khasawneh
doaj +1 more source
Literature Review of the Breadth and Depth of Vocabulary
Journal of Language Teaching and Research, 2018 As the basic element of language, vocabulary is the cornerstone of language communication. However, the majority of English learners just remember vocabulary by rote-learning and could not put them into practical use. As a result, their efficiency in vocabulary learning is still not unsatisfactory.
openaire +1 more source
Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories
Advanced Energy Materials, EarlyView.In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen +4 more
wiley +1 more source
SAGE Open, 2020 This study examined the simultaneous effects of L2 individual difference (ID) variables (aptitude, motivation, strategy use, language processing experience, and gender) on English as a foreign language (EFL) breadth and depth of L2 vocabulary knowledge ...
Sunjung Lee
doaj +1 more source
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
Improving Retrieval Results with discipline-specific Query Expansion [PDF]
, 2012 Choosing the right terms to describe an information need is becoming more difficult as the amount of available information increases. Search-Term-Recommendation (STR) systems can help to overcome these problems. This paper evaluates the benefits that may
Lüke, Thomas +2 more
core +1 more source
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
Open Linguistics, 2020 The aims of the study were to examine the correlation and prediction of different dimensions of vocabulary depth knowledge to academic reading comprehension.
Hasan Md Kamrul, Rahman Mohammad Mosiur
doaj +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
core