Trends in LN-embedding practices at Waikato Institute of Technology (Wintec) in 2019 [PDF]
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
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
Effect of teacher autonomy support on the online self-regulated learning of students during COVID-19 in China: The chain mediating effect of parental autonomy support and students' self-efficacy. [PDF]
Bai X, Gu X.
europepmc +1 more source
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]
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
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
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]
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
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
The Effect of Teacher Autonomy Support on Leisure-Time Physical Activity via Cognitive Appraisals and Achievement Emotions: A Mediation Analysis Based on the Control-Value Theory. [PDF]
Zimmermann J +3 more
europepmc +1 more source

