Results 71 to 80 of about 391,491 (306)

Investigating the Effectiveness of Cognitive Vocabulary Strategy Instruction in Raising Learners’ Metacognitive Awareness for Long-Term Mass Lexis Learning

Revue des Sciences Humaines, 2017
This paper reports on a study that investigates the role of learning vocabulary and the importance of intentionally instructing learners the techniques of vocabulary learning strategies.
Naouel Dib
doaj  

Learning Environments and the Use of Vocabulary Learning Strategies: a Case Study of Chinese Learners [PDF]

, 2008
This paper reports a survey study of how Chinese students use strategies when learning second language vocabulary. The focus of the study is on the effect of learning environments (EFL vs. ESL) on the use of vocabulary learning strategies.
Dakun, W. (Wang), Gieve, S. (Simon)
core   +2 more sources

Determinants of Knowledge and Usage of Generative Artificial Intelligence in Agricultural Extension: Evidence From Tennessee Extension Personnel

Agribusiness, EarlyView.
ABSTRACT This paper examines the determinants of generative AI (GenAI) knowledge and usage among agricultural extension professionals. Drawing on survey data from agricultural extension personnel in Tennessee, we employ regression analyses and latent Dirichlet allocation (LDA) for topic modeling of open‐ended responses to study the knowledge and usage ...
Abdelaziz Lawani, Jason de Koff, James Muriuki, Anna‐Liisa Ihuhwa   +3 more
wiley   +1 more source

A correlational Study of English Language Learning Strategies and Vocabulary Acquisition with Specific Reference to the Gender Factor: Insights from Algeria

Akofena
: The present paper investigated gender differences in the application of language learning strategies in English vocabulary acquisition. It aimed to discern disparities among males and females in respect language learning strategies choices and ...
Abdelghafour BEDDIAF, Sara CHAKHAB & Dalel NAMOUNE
doaj   +1 more source

STUDENTS’ PERCEPTION ON LEARNING TECHNICAL VOCABULARIES THROUGH VOCABULARY SELF-COLLECTION STRATEGY

Journal of Languages and Language Teaching, 2020
The objective of this research was to investigate vocational students’ perception on learning technical vocabularies through Vocabulary Self-Collection Strategy. This research provides two research questions, 1) In what ways Vocabulary Self-Collection Strategy facilitate students in learning technical vocabulary?
Difa Viola, Elih Sutisna Yanto, Mobit Mobit   +2 more
openaire   +3 more sources

L’ACQUISITION DU VOCABULAIRE DU FRANÇAIS LANGUE ÉTRANGÈRE DANS LES UNIVERSITÉS NIGÉRIANES [PDF]

, 2013
Vocabulary acquisition and use are major aspects of foreign language learning. The growth of a learner’s vocabulary depends on his/her ability to acquire new words and phrases.
Tar, Maryam
core  

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

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, Martin Taylor Sobczak, Dhanush Patil, Jixin Hou, Lin Pang, Arunachalam Ramanathan, Libin Yang, Xianyan Chen, Yuval Golan, Xiaoming Zhai, Hongyue Sun, Kenan Song, Xianqiao Wang   +12 more
wiley   +1 more source

An Investigation of the Impacts of Mnemonic Strategies on L2 Vocabulary Comprehension of Primary Students

Theory and Practice of Second Language Acquisition
Effective vocabulary learning strategies play a fundamental role in the area of language learning and increase the vocabulary range and knowledge of students across various proficiency levels.
Flora Keysan
doaj   +1 more source

Rethinking vocabulary development program [PDF]

, 2011
Vocabulary learning opportunities and the quality of vocabulary learning can be greatly increased through the careful design of both vocabulary and other skill activities.
Kurniawan, Leonardi Lucky
core  

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