Results 31 to 40 of about 2,559 (243)
Journal of Mathematics Education at Teachers College, 2014 Traditionally, teacher education programs have placed little emphasis on preparing mathematics teachers to work with students who struggle in mathematics. Therefore, it is crucial that mathematics teacher educators explicitly prepare prospective teachers
Kelley Buchheister +2 more
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Exploring Paradoxes in the Development of Mathematical Thinking: a Cultural-historical Perspective
Культурно-историческая психология, 2023 Primary school teachers are the educators responsible for introducing children into the world of mathematics. In the process of learning mathematics, children may experience negative emotions and develop negative attitudes or mathematics ...
M. Anastasakis, M. Dafermos
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Prospective mathematics teachers’ metaphors for mathematics, teaching, and the teacher’s role
NOMAD Nordic Studies in Mathematics Education, 2012 This study sheds light on Finnish preservice mathematics teachers’ (n = 16) views of mathematics, teaching, and the teacher’s role. Data was gathered via metaphors at three time points during teacher students’ pedagogical studies, in academic year 2011–2012. The analysis was conducted inductively, but based on categories found in previous studies.
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An analysis of mathematics understanding of prospective student-teachers of mathematics
Jurnal Riset Pendidikan Matematika, 2021 This quantitative-qualitative descriptive study aims to reveal the mathematics understanding of prospective student-teachers, describe the types of their mistakes in mathematics understanding, and recommend appropriate teaching of mathematics understanding. The subjects were 34 first-year students taking the Geometry course in the Mathematics Education
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Examining graphic drawing skills for a socioscientific problem situation
LUMAT, 2022 The aim of the study is to examine the graphing skills of prospective elementary mathematics teachers for a socioscientific problem situation related to Covid-19.
Mehmet İhsan Yurtyapan +1 more
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Liquid biopsy‐based diagnostic evaluation of hypermethylated CpG sites for ovarian cancer diagnosis
Molecular Oncology, EarlyView.This schematic outlines the workflow from biomarker identification to duplex MethyLight assay validation for epithelial ovarian cancer diagnosis using cfDNA‐based liquid biopsy. Initial screening of hypermethylated CpG candidates (cg02957270, cg10061138 cg00480298, COL2A1) was performed in tissue using ARMS‐PCR, COBRA, qPCR and image analysis. Selected
Deepa Bisht +3 more
wiley +1 more source
Advances in Sustainable and Wearable Textile Based Soft Robotics
Advanced Functional Materials, EarlyView.This Review examines advances in wearable textile‐based soft robotics, focusing on sustainable materials, integrated sensing, and scalable actuation. It discusses manufacturing and system integration across healthcare, assistive robotics, prosthetics, and human–machine interfaces, and highlights key challenges in circular design, including life‐cycle ...
Zahir Abbas +6 more
wiley +1 more source
A Classification of Mathematical Modeling Problems of Prospective Mathematics Teachers
Journal of Educational Issues, 2020 The purpose of this research is to classify the mathematical modelling problems produced by pre-service mathematics teachers in terms of the number of variables and to determine the mathematical modelling skills and mathematical skills used in solving the problems in each class.
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Prospective Mathematics Teachers’ Beliefs and Representations
Formatif: Jurnal Ilmiah Pendidikan MIPA, 2022 Beliefs have been identified as an affect on the psychology of mathematics education. Additionally, representations play a paramount role in mathematics teaching and learning. However, few studies have examined prospective teachers' beliefs and their relationship to representations in problem-solving. The purpose of this study is to examine prospective
Sadrack Luden Pagiling +3 more
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Data‐Driven Materials Science for Energy‐Sustainable Applications
Advanced Materials, EarlyView.Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley +1 more source