Probing the depths: Can both size and depth of productive vocabulary predict academic performance?
This study investigates the link between breadth (or size) and depth of vocabulary knowledge, and the relationship between the latter and academic proficiency.
Scheepers, Ruth Angela
doaj +1 more source
Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories
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
Application of different tools to investigate features and development of UK-based international foundation students’ academic lexis in assessed writing [PDF]
Despite extensive research into academic writing of university students from various linguistic backgrounds and disciplines at various levels of study, little research has focused on longitudinal studies of assessed writing produced by heterogeneous ...
Therova, Dana
core
Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook
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 Correlation Between Learning Motivation And Vocabulary Knowledge And Students’ Reading Competence Of The First Grade Students Of SMA Veteran 1 Sukoharjo In The Academic Year 2011-2012 [PDF]
This research was aimed: (1) To find out whether or not learning motivation has a positive correlation with students’ reading competence of the first grade students of SMA Veteran 1 Sukoharjo in the academic year 2011-2012. (2) To find out whether or not
Palupi, Palupi
core
LLM‐Based Scientific Assistants for Knowledge Extraction: Which Design Choices Matter?
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
Teaching English Language Learners to Vet Their Sources in the Post-Truth Paradigm [PDF]
According to the Institute of International Education\u27s Open Doors report, the number of international students studying in the United States exceeded one million for the first time in 2016.
Hodge, Megan
core +1 more source
Engineering and Humanities Students' Strategies for Vocabulary Acquisition: An Iranian Experience [PDF]
The present study set out to investigate the differences between EAP (English for Academic Purposes) students of Humanities and Engineering in terms of vocabulary strategy choice and use.
Moazam, Ismail +2 more
core +2 more sources
When Biology Meets Medicine: A Perspective on Foundation Models
Artificial intelligence, and foundation models in particular, are transforming life sciences and medicine. This perspective reviews biological and medical foundation models across scales, highlighting key challenges in data availability, model evaluation, and architectural design.
Kunying Niu +3 more
wiley +1 more source
University Students Use of Academic Vocabulary in the BA in English and English Teaching
This article examines the amount of academic vocabulary used by fourth year students in a B.A. in English and B.A. English Teaching. The writer explains how academic vocabulary can be measured and the benefits it provides.
William Charpentier Jiménez
doaj

