Introduction: Mathematics classrooms are typically characterized by considerable heterogeneity with respect to students' knowledge and skills. Mathematics teachers need to be highly attentive to students' thinking, learning difficulties, and any misconceptions that they may develop. Identification of potential errors and appropriate ways to approach them is crucial for attaining positive learning outcomes. This paper explores which knowledge and affective-motivational skills teachers most require to effectively identify and approach students' errors.
Methods: To address this research question within the German follow-up study of the Teacher Education and Development Study in Mathematics (TEDS-M), 131 primary school mathematics teachers' ability to identify students' errors was assessed based on (a) a digitalized speed test showing different students' solutions in a written notation and (b) three video vignettes that showed different scenes from mathematics classes. These scenes dealt, among other things, with children who struggled with the lesson's mathematical content. Teachers were asked to analyze students' thinking and to determine how best to react. In addition, teachers' mathematics pedagogical content knowledge, mathematical content knowledge, and beliefs were assessed in separate tests and served as predictors for teachers' abilities to identify, analyze, and deal with students' errors.
Results: The results indicate that all components are interrelated. However, path analysis reveals that teachers' ability to deal with students' errors is mainly predicted by their constructivist beliefs while their ability to quickly identify typical students' errors is largely dependent on their mathematics content knowledge.
Discussion: The results show the central filtering function of beliefs. Teachers who believe that students must shape and create their own learning processes are more successful in perceiving and analyzing student errors in classroom situations. They may understand errors as learning opportunities and - thus - pay specific attention to these occurrences.
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http://dx.doi.org/10.3389/fpsyg.2022.1057730 | DOI Listing |
PLoS One
December 2024
Cinical Nutrition Department, College of Applied Medical Sciences, King Faisal University, Al Ahsa, Saudi Arabia.
Background: Patient safety is a global concern within health facilities, primarily attributed to medical errors, constituting a significant global public health issue. Patients experiencing medication errors face serious problems, with increasing mortality rates and escalating hospital costs.
Aim: The study aims to examine nursing students' awareness of various medical errors during their clinical internships at Al- Ahsa, identifying types of errors to enhance patient safety.
Appl Neuropsychol Child
December 2024
Grupo de Lingüística y Neurobiología Experimental del Lenguaje, Instituto de Ciencias Sociales, Humanas y Ambientales (INCIHUSA), CCT-Mendoza, CONICET. Facultad de Humanidades y Ciencias Económicas, Pontificia Universidad Católica Argentina (Sede Mendoza), Buenos Aires, Argentina.
Unlabelled: Executive functions (EF), including verbal and visuospatial working memory, inhibition, and cognitive flexibility, are associated with academic skills such as copying and producing written texts in school-age children.
Objective: The objective of this study was to examine the association between primary school children's executive function skills and their ability to copy and produce written texts.
Methodology: We included 282 children attending primary school (children in fourth to sixth grade; mean age = 10.
Sci Rep
December 2024
Department of Postgraduate Programs and Research, Sir Vithaldas Thackersey College of Home Science (Empowered Autonomous Status), SNDT Women's University, Juhu Tara Road, Santacruz West, Mumbai, 400049, Maharashtra, India.
This study aimed to develop and test the psychometric properties of a questionnaire assessing knowledge, attitudes, and behaviors (KAB) related to nutrigenomics and personalized nutrition (PN) in dietetic students and professionals in India. A literature review, six focus group discussions (n = 37), and nine in-depth interviews guided initial item generation. The face, item, and scale content validity indices were calculated and a cross-sectional sample (n = 297) examined the item difficulty (IDI), item discrimination (DI), and internal consistency.
View Article and Find Full Text PDFIran Biomed J
December 2024
Department of Nursing, School of Nursing and Midwifery, Tehran Medical Branch, Islamic Azad University, Tehran, Iran.
Adv Sci (Weinh)
December 2024
Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, NC, 07024, USA.
The performance of seven large language models (LLMs) in generating programming code using various prompt strategies, programming languages, and task difficulties is systematically evaluated. GPT-4 substantially outperforms other LLMs, including Gemini Ultra and Claude 2. The coding performance of GPT-4 varies considerably with different prompt strategies.
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