Results 41 to 50 of about 1,356 (221)
Participatory appraisal (PA) in the classroom: the use of PA as a technique to advance self-directed learning through ongoing needs analysis [PDF]
This thesis gives an account of a case study in the form of classroom-based action research on the effectiveness of implementing Participatory Appraisal (PA) methods (adapted from Participatory Rural Appraisal (PRA) methods), as an innovative instrument ...
Chalauisaeng, Bussabamintra
core
DIY local learner corpora: Bridging gaps between theory and practice
Corpus-based research in the past two decades has undeniably had a considerable impact on language teaching. Nevertheless, there still remains a gap between what applied corpus linguistics can offer and what teachers do (or don’t do) with corpora in ...
Lehtinen, Ben, Millar, Neil
core +1 more source
Large language models are transforming microbiome research by enabling advanced sequence profiling, functional prediction, and association mining across complex datasets. They automate microbial classification and disease‐state recognition, improving cross‐study integration and clinical diagnostics.
Jieqi Xing +4 more
wiley +1 more source
Negotiating a transcultural place in an English as a lingua franca telecollaboration exchange: a mixed methods approach to the analysis of intercultural communicative competence and third space in an online Community of Practice [PDF]
The study presented in this thesis was designed so as to explore the impact of an ELF (English as a lingua franca) telecollaboration exchange on its participants’ intercultural learning and negotiation of shared spaces and subject positions (Kramsch ...
Guarda, Marta
core
Deep Learning‐Assisted Design of Mechanical Metamaterials
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong +5 more
wiley +1 more source
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
Contains fulltext : 180423.pdf (Publisher’s version ) (Open Access)This study presents a longitudinal Bayesian analysis of pre-subject adverbial (PSA) use in a 571,174-word corpus of Dutch learner English.
Vuuren, S. van +3 more
core +1 more source
This perspective highlights how knowledge‐guided artificial intelligence can address key challenges in manufacturing inverse design, including high‐dimensional search spaces, limited data, and process constraints. It focused on three complementary pillars—expert‐guided problem definition, physics‐informed machine learning, and large language model ...
Hugon Lee +3 more
wiley +1 more source
A local, grammatically-annotated learner corpus as a pedagogical tool
This article argues, through a discussion of the different views of 19 teachers, for the usefulness of a local, grammatically-annotated learner corpus as a pedagogical tool for the teaching of grammar in Singapore schools.
Anis Amalina
core
Evolution of Physical Intelligence Across Scales
By following the evolution of physical intelligence across scales, this article shows how intelligence arises from materials, structures, physical interactions, and collectives. It establishes physical intelligence as the evolutionary foundation upon which embodied intelligence is built.
Ke Liu +7 more
wiley +1 more source

