Results 121 to 130 of about 55,654 (307)

Learning from physics education research: Lessons for economics education

open access: yes
We believe that economists have much to learn from educational research practices and related pedagogical innovations in other disciplines, in particular physics education.
Simkins, Scott P., Maier, Mark H.
core  

Improving engineering physics teaching [Elektronisk resurs] : learning from physics education research

open access: yes, 2000
Students come to our courses with a personal theory of physics. Most students do not change theirpersonal theories during a traditionally taught physics course.
Bernhard, Jonte,
core  

Physics Graduates in the Workforce: Does Physics Education Help? [PDF]

open access: yes, 2008
In the first half of 2008 a survey was distributed to a sample of Australian physics graduates. The main purpose was to provide a realistic and up-to date view of where a Physics degree can lead, based on the experiences and perspectives of physics ...
Sharma, M   +4 more
core  

Why Is the Mechanism Underlying the Chiral‐Induced Selectivity Effect Still Challenging?

open access: yesAdvanced Materials, EarlyView.
The chiral‐induced spin selectivity (CISS) effect is observed in many experimental configurations and for different materials. However, there are theoretical challenges in attempting to explain those results. A qualitative framework for explaining all the results is presented.
Ron Naaman, Yossi Paltiel
wiley   +1 more source

Methods and forms of education in the formation of reading literacy in teaching physics

open access: yesВестник Мининского университета
Introduction. The article is devoted to the actual problem of the formation of reader's literacy. The ability to work with texts is checked in all subjects within the framework of the state final certification for the basic school course and in All ...
N. A. Antonova
doaj   +1 more source

Conductive Hydrogels for Exogenous Sensing and Cell Fate Control

open access: yesAdvanced Materials, EarlyView.
We engineer electrically conductive hydrogels by combining sulfated glycosaminoglycans with semiconducting polymers. These hydrogels bind bioactive proteins, including growth factors, whose release or retention can be modulated by low‐voltage stimulation. The hydrogels are also integrated as 3D channels in organic electrochemical transistors as part of
Teuku Fawzul Akbar   +15 more
wiley   +1 more source

High‐Performance Transparent, Deformable, and Recoverable Biomimetic Stevia–PVA Hydrogel Triboelectric Nanogenerator with Machine Learning‐Assisted Motion Recognition

open access: yesAdvanced Materials, EarlyView.
A transparent, deformable stevia–PVA hydrogel triboelectric nanogenerator delivers significantly enhanced mechanical strength and electrical output through biomimetic hydrogen‐bonded networks. Coupled with machine learning–assisted signal recognition, the self‐powered hydrogel enables accurate human‐motion sensing for intelligent wearable and IoT ...
Thien Trung Luu   +5 more
wiley   +1 more source

VIRTUAL MODELING OF PHYSICAL EXPERIMENT FOR DISTANCE LEARNING SYSTEMS IN THE SECONDARY AND HIGHER PEDAGOGICAL SCHOOLS

open access: yesІнформаційні технології і засоби навчання, 2015
The article investigates the state of the educational computer simulation and its modern features. It deals with psychological and didactic approaches to modeling in physics education and school physical experiment.
Mykola V. Holovko   +2 more
doaj  

Engineering Strain‐Stiffening Granular Hydrogels for 3D‐Printed Tissue‐Mimicry

open access: yesAdvanced Materials, EarlyView.
A 3D‐printable strain‐stiffening double‐network granular hydrogel (SDGH) enables independent, region‐specific tuning of toe (EToe) and heel (EHeel) moduli through control of microgel packing and network composition. This platform replicates tissue‐like nonlinear mechanics and allows fabrication of high‐fidelity, multilayered aortic valves with ...
Hyeokju Chae   +9 more
wiley   +1 more source

Weaving Intelligence: Thermally Drawn Multimaterial Fibers Toward AI‐Enabled Smart Textiles

open access: yesAdvanced Materials, EarlyView.
Thermally drawn multimaterial fibers are rapidly advancing as intelligent structural units for next‐generation smart textiles. Integrating multimaterial architectures with neuromorphic and spiking‐neural‐network principles enables fabrics that can sense, compute, and adapt autonomously.
Vuong Dinh Trung   +9 more
wiley   +1 more source

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