Results 111 to 120 of about 360,429 (249)

Trends in LN-embedding practices at Waikato Institute of Technology (Wintec) in 2019 [PDF]

open access: yes, 2020
In this report, we describe the trends in literacy-embedding practices of level-2 and level-3 tutors who worked in vocational contexts at Waikato Institute of Technology (Wintec), and who completed the New Zealand Certificate in Adult Literacy and ...
Ahmad, Farzana   +2 more
core  

AI in chemical engineering: From promise to practice

open access: yesAIChE Journal, EarlyView.
Abstract Artificial intelligence (AI) in chemical engineering has moved from promise to practice: physics‐aware (gray‐box) models are gaining traction, reinforcement learning complements model predictive control (MPC), and generative AI powers documentation, digitization, and safety workflows.
Jia Wei Chew   +4 more
wiley   +1 more source

Professional discourse, quality assurance and a practice integrated pre-service teacher education course: The Open University PGCE

open access: yes, 2007
The Open University (UK) Postgraduate Certificate in Education (PGCE) programme is a distance learning pre-service course in teacher education which integrates learning in the practice setting with university-based learning.
Hutchinson, Steven
core  

The Revolving Door of Education: Teacher Turnover and Retention amongst the Graduates of a Liberal Arts Teacher Education Program [PDF]

open access: yes, 2017
In the United States, elementary and secondary education teachers comprise 4% of the entire civilian workforce (Ingersoll, 2001). The composition of that 4% is changing because of teacher turnover.
Dachille, Gregory W., Ruff, Chloe
core   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

open access: yesAdvanced 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

Using Linear Regression to Analyze Economics Content Mastery and Learner’s Autonomy Towards English Writing Competence [PDF]

open access: yes, 2019
English is used widely in education area. It is also used in higher education. Many universities put English in the curriculum. In industrial revolution 4.0., English has an important role.
Ratnaningsih, Paskalina Widiastuti
core  

ChatCFD: A Large Language Model‐Driven Agent for End‐to‐End Computational Fluid Dynamics Automation with Structured Knowledge and Reasoning

open access: yesAdvanced Intelligent Discovery, EarlyView.
Chat computational fluid dynamics (CFD) introduces an large language model (LLM)‐driven agent that automates OpenFOAM simulations end‐to‐end, attaining 82.1% execution success and 68.12% physical fidelity across 315 benchmarks—far surpassing prior systems.
E Fan   +8 more
wiley   +1 more source

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