Results 91 to 100 of about 669,802 (302)
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
English Learning InnovationLearning vocabulary is considered the most important component in mastering English, especially for students at the elementary school level who are young learners.
Putri Sonya Artaninda +2 more
doaj +1 more source
Incidental Vocabulary Learning in Second Language Acquisition: A Literature Review
Profile: Issues in Teachers' Professional Development, 2015 This literature review aims to analyze previous studies that address the incidental learning of vocabulary in second language acquisition. The articles included in this literature review look into the understanding of vocabulary learning through ...
Falcon Dario Restrepo Ramos
doaj +1 more source
Using Song to Improve Students’ Vocabulary Mastery [PDF]
, 2017 Vocabulary mastery is one of the requirements for students to be able to communicate both in spoken and written. There are many ways to improve students’ vocabulary mastery used by the language teacher.
Muflihah, Tatik
core +1 more source
Vocabulary learning using student-created class vocabulary lists
Vocabulary Learning and Instruction, 2020 In this article, we describe the pedagogical basis for class vocabulary lists (CVLs) and their implementation using Google Sheets. CVLs allow students to collaborate and build “notebooks” of vocabulary that they feel is important to learn. CVL choices of students (N= 53) in three classes of mixed non-English majors and one informatics class were ...
G. Clint Denison, Imogen Custance
openaire +2 more sources
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
THE USE OF SONGS TO TEACH ENGLISH VOCABULARY TO YEAR 2 STUDENTS OF SD NEGERI SEKIP I NO.161 SURAKARTA [PDF]
, 2008 Noerrita Kuattiningsih. 2008. The Use of Songs to Teach English Vocabulary to Year 2 Students of SD Negeri Sekip I No.161 Surakarta. English Diploma Program, Faculty of Letters and Fine Arts, UNS.
Kuattiningsih , Noerrita
core
Advanced Intelligent Discovery, EarlyView.Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova +4 more
wiley +1 more source
Model Frayer untuk Penguasaan Kosakata Siswa Sekolah Dasar [PDF]
, 2015 If we want to learn one language, one should know the target of the vocabulary it\u27s self. If they have much vocabulary, they will be more skillful in languages. Learning vocabulary at school, it\u27s better to apply the strategy of the learning.
Sayekti, O. M. (Octavian)
core
The Interoperability Challenge in DFT Workflows Across Implementations
Advanced Intelligent Discovery, EarlyView.Interoperability and cross‐validation remain major challenges in the computational materials science. In this work, we introduce a common input/output standard that enables internal translation across multiple workflow managers—AiiDA, PerQueue, Pipeline Pilot, and SimStack—while producing results in a unified schema.
Simon K. Steensen +13 more
wiley +1 more source