Results 101 to 110 of about 10,919,435 (208)
Technologies to enhance self-directed learning from hypertext [PDF]
With the growing popularity of the World Wide Web, materials presented to learners in the form of hypertext have become a major instructional resource. Despite the potential of hypertext to facilitate access to learning materials, self-directed learning ...
AlAgha, Iyad M., AlAgha, Iyad Mohammed
core
Supporting AI Readiness Through Digital Workflows in Materials Science
Digitalization drives innovation in materials science by connecting data silos and turning heterogeneous processes into reusable research pipelines. Across 13 MaterialDigital projects, digital workflows reveal complementary pathways toward AI‐ready materials research, founded on structured data, persistent artifacts, executable orchestration, and ...
Marian Bruns +67 more
wiley +1 more source
Self-directed learning and apprentices: a constructivist grounded study [PDF]
Developing the capacity of learners to be self-directed is beneficial for both individual workers and economies alike. This study investigates the development of capability for self-directed learning in a group of apprentices in the building and ...
Pearce, Damien Phillip
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FastNano Liquid: An Automated Platform for Small‐Angle X‐ray Scattering‐Based Materials Discovery
We present FastNano Liquid, an automated small‐ and wide‐angle X‐ray scattering platform for the combined synthesis and characterization of (nano)materials. The platform is coupled to varied reactor workflows for both in situ studies of reaction kinetics and ex situ screening of synthesis conditions to support machine learning‐guided exploration ...
Pierre‐Baptiste Flandrin +16 more
wiley +1 more source
THE EFFECTIVENESS OF SELF-DIRECTED LEARNING (SDL) TO TEACH READING VIEWED FROM STUDENTS’ SELF-ESTEEM [PDF]
The objectives of the research are: (1) to identify whether Self-Directed Learning Method (SDL) is more effective than Problem-Based Learning Method (PBL) to teach reading to the eleventh graders of SMA Negeri 1 Keruak; (2) to identify whether the ...
, Ngadiso, , Selamet, Tarjana, Samiati
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A Multi‐Scale Machine Learning Framework for the Inverse Design of High Entropy Alloys
High‐entropy alloys offer vast potential for various applications, including electrocatalysis; however, their compositional complexity challenges conventional screening. We introduce an inverse‐design framework combining two neural networks to determine optimal compositions and reconstruct nanoparticle geometry from targeted properties and conventional
Mikael Takoutsin +14 more
wiley +1 more source
Detecting Anomalous Cell Behavior in Electrochemical Battery Testing Using Machine Learning
Machine‐learning‐based screening enables automated identification of anomalous battery cells from complementary electrochemical tests. A curated battery database supports configuration‐aware comparison of rate‐capability and impedance data. Supervised classification of rate‐test data achieves 90% accuracy, while CNN‐VAE‐based impedance analysis reaches
Minu Rose +7 more
wiley +1 more source
Background Self-directed learning supports nursing students’ professional development by enabling them to deepen their theoretical knowledge, particularly in complex foundational subjects such as anatomy, physiology, and biochemistry.
Monika Ravik +3 more
doaj +1 more source
Self-directed learning competency promotes investigation and truth-seeking. In veterinary anatomy courses, high levels of self-directed learning behavior may lead to effective learning outcomes, benefiting veterinary practice. This study aimed to compare
Pattrawadee Makmee +2 more
doaj +1 more source
In MOCVD MoS2 memristors, a current compliance‐regulated Ag filament mechanism is revealed. The filament ruptures spontaneously during volatile switching, while subsequent growth proceeds vertically through the MoS2 layers and then laterally along the van der Waals gaps during nonvolatile switching.
Yuan Fa +19 more
wiley +1 more source

