Results 101 to 110 of about 55,072 (308)

Promoting problem-solving skills in computer programming with an LLM-empowered multi-agent system: A cognitive apprenticeship perspective

Educational Technology & Society
To address the limitations of large language models in fostering problem-solving skills in programming, this paper proposes an LLM-empowered multi-agent system grounded in a theoretical framework that integrates cognitive apprenticeship with the Use ...
Xiaochun Wang, Jingze Li, Qirui Gu and Deming Liang
doaj   +1 more source

Determinants of Knowledge and Usage of Generative Artificial Intelligence in Agricultural Extension: Evidence From Tennessee Extension Personnel

Agribusiness, EarlyView.
ABSTRACT This paper examines the determinants of generative AI (GenAI) knowledge and usage among agricultural extension professionals. Drawing on survey data from agricultural extension personnel in Tennessee, we employ regression analyses and latent Dirichlet allocation (LDA) for topic modeling of open‐ended responses to study the knowledge and usage ...
Abdelaziz Lawani, Jason de Koff, James Muriuki, Anna‐Liisa Ihuhwa   +3 more
wiley   +1 more source

On the Use of Large Language Models for Improving Student and Staff Experience in Higher Education

Open Education Studies
Large language models (LLMs) hold great promise for enhancing teaching and learning in higher education, yet educators and administrators still lack practical examples to guide their adoption.
O’Neill Sam, Mulgrew David, Bagdasar Ovidiu   +2 more
doaj   +1 more source

Towards Reliable Agentic LLMs

In recent years, rapid advancements in large language models (LLMs) have steadily shifted their applications from simple chatbots to increasingly complex, autonomous agents.
Wang, Wenxiao
core   +1 more source

Farmers’ Protests in Germany: Media Coverage and Types of Bias

Agribusiness, EarlyView.
ABSTRACT The German farmers’ protests of 2024 sparked widespread media coverage and public debate. Yet, media coverage was not always positive, reflecting the media's attention‐seeking and selective focus. Occurrences of farmers blocking media outlets reflected distrust in how their concerns were portrayed.
Felix Schlichte, Doris Läpple
wiley   +1 more source

Research and outlook on techniques for improving the quality of substation monitoring data

Zhejiang dianli
With the advancement of digitalization and intelligence in substation protection and monitoring systems， the volume of multi-source heterogeneous data generated by secondary systems has increased sharply， with continuously rising dimensionality. This has
ZHENG Xiang, CHEN Shaoyu, WU Jiayi, ZHANG Yikang, ZHANG Min, YU Yiting, XUE Ancheng   +6 more
doaj   +1 more source

Is Precision Agriculture Technology Adoption Persistently Overestimated?

Agribusiness, EarlyView.
ABSTRACT Precision agriculture is sometimes assumed to diffuse steadily over time, and industry planning frequently extrapolates early adoption trends forward. This study evaluates the accuracy of such expectations by comparing agricultural input dealers' forecasts of future service offerings with the actual levels of offerings that dealerships ...
Trey Malone, Chad Fiechter, Zanliang Meng, James Lowenberg‐DeBoer, Bruce Erickson, Jay Akridge   +5 more
wiley   +1 more source

Retrieval-Augmented Generation vs. Baseline LLMs: A Multi-Metric Evaluation for Knowledge-Intensive Content

Information
(1) Background: The development of Generative Artificial Intelligence (GenAI) is transforming knowledge-intensive domains such as Education. However, Large Language Models (LLMs), which serve as the foundational components for GenAI tools, are trained on
Aparna Vinayan Kozhipuram, Samar Shailendra, Rajan Kadel   +2 more
doaj   +1 more source

GraphRAG for engineering diagrams: ChatP&ID enables LLM interaction with P&IDs

AIChE Journal, EarlyView.
Abstract Piping and Instrumentation Diagrams (P&IDs) are central to process engineering workflows, yet extracting information from them remains a tedious and time‐consuming task. This work introduces ChatP&ID, a framework enabling natural‐language interaction with smart P&IDs through Graph Retrieval‐Augmented Generation (GraphRAG), to our knowledge ...
Achmad Anggawirya Alimin, Artur M. Schweidtmann   +1 more
wiley   +1 more source

Evaluating research quality with Large Language Models: An analysis of ChatGPT’s effectiveness with different settings and inputs

Journal of Data and Information Science
Evaluating the quality of academic journal articles is a time consuming but critical task for national research evaluation exercises, appointments and promotion.
Thelwall Mike
doaj   +1 more source