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
Persona pedagogica in crisis: are educators becoming data custodians in the age of AI? [PDF]
Ambady A, K V T.
europepmc +1 more source
Large Language Model‐Based Chatbots in Higher Education
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci +4 more
wiley +1 more source
Sources and Changes in Medical Student Motivation: A Longitudinal Self-Determination Theory Analysis. [PDF]
Jones J +3 more
europepmc +1 more source
PROFESSIONAL SELF-DETERMINATION AS A SCIENTIFIC CONCEPT
openaire +2 more sources
Gifted High School Students’ Professional Self-determination Factors
Nataliia Belska, Maryna Melnyk
openaire +1 more source
This study proposes a robust, generalizable new approach for facial type diagnosis. Based on landmark detection and pose normalization, a 94.7% diagnostic accuracy is achieved by Combined Heatmap Regression and Coordinate Regression network. This research makes the AI‐generated preliminary diagnosis more interpretable and reducing the impact of ...
Qianyang Xie +12 more
wiley +1 more source
The influence of parental educational involvement on learning engagement among first-year college students: the mediating effects of academic self-efficacy and professional identity. [PDF]
Zhao Y, Qin Y, Zhang L.
europepmc +1 more source
Context Awareness and Human–Robot Interaction Optimization for Museum Intelligent Guide Robot
This study presents a context‐aware human–robot interaction framework designed for intelligent museum guide robots. The system features a three‐layer architecture—perception, understanding, and behavior execution—that enables adaptive and meaningful interactions with museum visitors.
Anna Zou, Yue Meng, Shijing Tong
wiley +1 more source
Transforming specialized mental health practice: Insights from clients' perspectives on how to support recovery. [PDF]
Lorenz-Artz K, Bierbooms J, Bongers I.
europepmc +1 more source

