Results 141 to 150 of about 41,969,480 (328)
Productive struggle in children's app-based digital reading
IntroductionAs children's learning increasingly occurs through digital apps, games, and artificial intelligence (AI)-enabled technologies, a fundamental question emerges: what happens to productive struggle when persistence becomes a choice?
Sara Ratner, Victoria A. Murphy
doaj +1 more source
What breaks the flow of reading? A study on characteristics of attentional disruption during digital reading. [PDF]
Chevet G +3 more
europepmc +1 more source
Fostering Innovation: Streamlining Magnetocaloric Materials Research by Digitalization
Magnetocaloric cooling (MCE) is an environmentally friendly refrigeration method with great potential. Optimizing MCE materials involves the preparation and screening of large quantities of samples, which in turn generates a large amount of data. A digitalization approach is presented that uses ontologies, knowledge graphs, and digital workflows to ...
Simon Bekemeier +17 more
wiley +1 more source
Turkish language teacher candidates’ thoughts on e-readers, digital reading, and reading preferences
This research aims to determine teacher candidates’ thoughts, experiences, and expectations about digital reading and e-readers and examine students' reading habits comprehensively.
Münire Özden, Mehmet Çiçek
doaj
Reading texts on a screen has become a routine part of everyday life. While teaching reading in primary school, this calls for practical didactic approaches combining differentiation, digitalization and cross-curricular content.
Fabian Feyertag +4 more
doaj +1 more source
Towards Barrier-free Reading in the Digital Age: Electronic Texts for the Visually Impaired
Despite human-centered approaches to the development of electronic text, the visually impaired remain particularly susceptible to oversight. The digital realm has a strong bias toward visually-oriented representation, and is generally unaware of ...
Ree, Robert
core
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch +3 more
wiley +1 more source
PASTA‐ELN: Simplifying Research Data Management for Experimental Materials Science
Research data management faces ongoing hurdles as many ELNs remain complex and restrictive. PASTA‐ELN offers an open‐source, cross‐platform solution that prioritizes simplicity, offline access, and user control. Its in tuitive folder structure, modular Python add‐ons, and open formats enable seamless documentation, FAIR data practices, and easy ...
S. Brinckmann, G. Winkens, R. Schwaiger
wiley +1 more source
Reproduction of stacking fault energy calculations from literature with a semi‐automated large language model‐assisted extraction procedure: extraction of simulation protocol, atomistic structures, computational parameters, and reported results, ontology alignment, knowledge graph construction and, finally, recomputation forvalidation.
Sepideh Baghaee Ravari +5 more
wiley +1 more source

