Results 141 to 150 of about 1,303,110 (322)
Adaptive learning in bionics: transforming science education
IntroductionAdaptive learning platforms offer innovative teaching approaches by tailoring educational content to individual learner’s needs, abilities, and paces.MethodsThis study investigates the effects of an adaptive digital learning platform on user ...
Nadine Honke, Sebastian Becker-Genschow
doaj +1 more source
This paper proposes two projector‐based Hopfield neural network (HNN) estimators for online, constrained parameter estimation under time‐varying data, additive disturbances, and slowly drifting physical parameters. The first is a constraint‐aware HNN that enforces linear equalities and inequalities (via slack neurons) and continuously tracks the ...
Miguel Pedro Silva
wiley +1 more source
This work introduces an adaptive human pilot model that captures pilot time‐delay effects in adaptive control systems. The model enables the prediction of pilot–controller interactions, facilitating safer integration and improved design of adaptive controllers for piloted applications.
Abdullah Habboush, Yildiray Yildiz
wiley +1 more source
Learning Analytics: The Impact of Digital Tools in Upper-Level and Graduate Courses
Colorado Technical University (CTU) harnesses adaptive learning, accompanied by learning analytics in online courses that engage thousands of students quarterly.
Connie Johnson +3 more
doaj +1 more source
Lessons from a virtual field trip: Adapting explorative and immersive learning pedagogy
Joseph Davies, Laura Davies
openalex +2 more sources
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt +8 more
wiley +1 more source
What Do Large Language Models Know About Materials?
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer +2 more
wiley +1 more source
Herein, environmental scanning electron microscopy (ESEM) is discussed as a powerful extension of conventional SEM for life sciences. By combining high‐resolution imaging with variable pressure and humidity, ESEM allows the analysis of untreated biological materials, supports in situ monitoring of hydration‐driven changes, and advances the functional ...
Jendrian Riedel +6 more
wiley +1 more source
Artificial Intelligence for the Foreign Language Classes at Higher Education Institution
Background. The article considers the possibility of artificial intelligence technologies application to the foreign language course in higher education.
Julia E. Valkova
doaj +1 more source
Investigating Learning Dashboards Adaptation
Although there is a growing number of learning analytics dashboards (LADs), they often fail to improve learning and learners' awareness due to their lack of adaptation capabilities. This paper presents a systematic review that follows the PRISMA statement and analyzes the adaptation features of LADs and their potential effects on learning.
Rémi Barbé +2 more
openaire +2 more sources

