Results 31 to 40 of about 12,242 (269)
THE MEASUREMENT OF CURIOSITY OF TEACHER CANDIDATES: A STUDY BASED ON BREADTH AND DEPTH OF INTEREST
The aim of this study was to investigate curiosity styles of teacher candidates. A total of 250 teacher candidates –classroom/physical education and sports- volunteered for the study.
Neslisah Aktas, Umit Dogan Ustun
doaj +1 more source
ABSTRACT Objective Neurochemical levels measured by brain MR spectroscopy (MRS) have been proposed as endpoints for clinical trials in early‐stage spinocerebellar ataxia (SCA) trials. We tested their trial‐readiness by quantifying neurochemicals in three affected brain regions in early‐stage cohorts of SCA2 and SCA3, examining their reproducibility in ...
James M. Joers +19 more
wiley +1 more source
Teacher Candidate Reflection and Development Through Virtual Exchange
This study examines the effects of a virtual exchange on twelve teacher candidates of a Teaching English to Speakers of Other Languages program. The teacher candidates participated in a 4-week virtual exchange with English as a Foreign Language learners ...
Chesla Ann Lenkaitis +2 more
doaj +1 more source
Teacher Candidates’ Research Literacy
This study aims to reveal teacher candidates’ research literacy and to investigate their levels of research literacy according to variables of gender and department. The research was carried out in accordance with correlational survey model, which is a comparative model.
KOCABATMAZ, Handan +1 more
openaire +3 more sources
The Lupus Damage Index Revision Program: Results From the Item Generation and Reduction Phases
Objective A data‐driven and expert/patient consensus‐based project to develop a revised Systemic Lupus International Collaborating Clinics (SLICC)/American College of Rheumatology (ACR) Damage Index (SDI) is under way supported by SLICC, ACR, and the Lupus Foundation of America. Our objective is to report the item generation and reduction phase results
Burak Kundakci +25 more
wiley +1 more source
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
Identifying the Qualities of an Ideal Teacher in line with the Opinions of Teacher Candidates [PDF]
<p style="text-align:justify">Teaching is a sacred profession performed by self-sacrificing individuals with high responsibilities who are aware of their roles, have undertaken the task of raising future generations, make easier individuals’ process of becoming citizen in a way to ensure the peace and welfare of the communities, and allow them to
Kadioglu Ates, Hatice, Kadioglu, Serkan
openaire +2 more sources
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
Digitalizing electroplating requires both domain knowledge and interoperability. This work introduces PlatOn, a domain ontology for trivalent chromium plating and coating characterization, and a hybrid pipeline that aligns it to a mid‐level reference ontology by combining eight similarity metrics with language model reasoning. Expert‐validated mappings
Janik Harter +10 more
wiley +1 more source
Climate change is one of the most widespread problems affecting human well-being. Extreme weather events and ecosystem uncertainties also seriously threaten future teachers.
Ömer Gökhan Ulum +1 more
doaj +1 more source

