Results 81 to 90 of about 201,884 (307)

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

Advanced 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, Xinyi Chen, Xu Ye, Yulin Yang, Bin Ai   +4 more
wiley   +1 more source

The role of transformational leadership in professional learning communities: Empirical evidence from China [PDF]

Journal of Pedagogical Research
Few existing research examines the relationship between transformational leadership and professional learning communities. This study aims to explore the relationship between transformational leadership and professional learning community components from
Lei Gao, Aida H. A. Hamid, Azlin N. Mansor   +2 more
doaj   +1 more source

Large Language Model‐Based Chatbots in Higher Education

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
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, Merve Eryilmaz, Ail K. Yetisen, Savas Tasoglu, Aydogan Ozcan   +4 more
wiley   +1 more source

Teachers' professional development in a community: A study of the central actors, their networks and web-based learning

E-learning and Education, 2008
The goal of this article was to study teachers' professional development related to web-based learning in the context of the teacher community. The object was to learn in what kind of networks teachers share the knowledge of web-based learning and what ...
Jiri Lallimo, Essi Ryymin
doaj  

A Twitter-facilitated professional learning community: online participation, connectedness, and satisfaction. [PDF]

BMC Med Educ, 2022
Zheng B, Beck Dallaghan G.
europepmc   +1 more source

Retinal Vessel Segmentation: A Comprehensive Review From Classical Methods to Deep Learning Advances (1982–2025)

Advanced Intelligent Systems, EarlyView.
Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal, Jan Kubíček, Jana Bahrová, Alice Varyšová, Martin Augustýnek, Marek Penhaker, Juraj Timkovič   +6 more
wiley   +1 more source

WhatsApp Discourse Throughout COVID-19: Towards Computerized Evaluation of the Development of a STEM Teachers Professional Learning Community. [PDF]

Int J Artif Intell Educ, 2022
Scherz Z, Salman A, Alexandron G, Shwartz Y.   +3 more
europepmc   +1 more source

Professional Learning Community in Malaysia

International Journal of Engineering & Technology, 2018
The professional learning community (PLC) is a platform for teachers to share their opinions and experiences especially with respect to the quality of teaching and learning processes (PdP). This partnership gives teachers more added value because they have the opportunity to improve their self-esteem and to keep in pace with the developments in the ...
Hassan, Roslizam, Ahmad, Jamilah, Boon, Yusof   +2 more
openaire   +3 more sources

A peer professional learning group: A professional identity forum

, 2012
In response to the challenges of academic work when studying for Masters of Counselling degrees at a distance from the university while living in a geographically isolated community in Aotearoa New Zealand, Kandyce Bevan, Nicola Carroll and I came ...
Alford, Zoë
core  

Talk to Your Data: An Agentic Artificial Intelligence‐Driven Decision‐Support Framework for Prosumer Energy Optimization and Recommendations

Advanced Intelligent Systems, EarlyView.
An agentic AI‐driven decision‐support framework for prosumers is proposed, integrating PV generation, load profiling, and multihorizon optimization within a four‐agent architecture. The approach significantly reduces grid dependence, enhances self‐sufficiency and prevents system oversizing.
Adela BÂRA, Simona‐Vasilica OPREA
wiley   +1 more source