Results 81 to 90 of about 193,030 (283)
The arrival of MOOCs: Massive Open Online Courses [PDF]
Summary: Internationally, a number of emerging technologies and associated developments are becoming available that could have far‐reaching effects on the delivery of tertiary education.
Avinash Shrivastava, Peter Guiney
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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
Massive open online courses : an adaptive learning framework [PDF]
, 2015 Diverse student needs present a challenge in online education. Massive Open Online Courses (MOOCs) attract many diverse learners, so there is need to tailor the course instruction to meet the students’ individual needs.
Onah, Daniel F. O., Sinclair, Jane
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Advanced 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
Problems of massive open online distance learning courses in distance learning systems
CTE Workshop Proceedings, 2013 The term "Massive Open Distance Learning" was coined by George Siemens in 2008. The process of learning in such courses is the process of creating a network whose nodes are external entities (people, organizations, libraries, websites, books, magazines,
V. M. Kukharenko
doaj +1 more source
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 +4 more
wiley +1 more source
Advanced Intelligent Discovery, EarlyView.A low‐cost, self‐driving laboratory is developed to democratize autonomous materials discovery. Using this "frugal twin" hardware architecture with Bayesian optimization, the platform rapidly converges to target lower critical solution temperature (LCST) values while self‐correcting from off‐target experiments, demonstrating an accessible route to data‐
Guoyue Xu, Renzheng Zhang, Tengfei Luo
wiley +1 more source
Massive open online courses: idea and reality [PDF]
, 2015 Рассматриваются первые результаты исследований, посвященных массовым открытым онлайновым курсам.The first results of studies on the Massive Open Online Courses are ...
Bogdanova, D. A. +1 more
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Advanced Intelligent Discovery, EarlyView.The authors evaluated six machine‐learned interatomic potentials for simulating threshold displacement energies and tritium diffusion in LiAlO2 essential for tritium production. Trained on the same density functional theory data and benchmarked against traditional models for accuracy, stability, displacement energies, and cost, Moment Tensor Potential ...
Ankit Roy +8 more
wiley +1 more source
Advanced Intelligent Systems, EarlyView.This article develops a soft magnetic sensor array to extract 3D and distributional muscle deformations, which has highly consistent measurements in amphibious environments, robustness to hydraulic pressure, and about 200 ms faster response than an inertial measurement unit, achieving over 98% classification accuracy and below 3% phase estimation ...
Yuchao Liu +8 more
wiley +1 more source