A5012291574- Mathematics Education and Teaching Techniques
- Educational Assessment and Improvement
- Linguistic Education and Pedagogy
- Education Methods and Technologies
- Online Learning and Analytics
- Linguistic research and analysis
- Early Childhood Education and Development
- Statistics Education and Methodologies
- Machine Learning and Data Classification
- School Choice and Performance
- Explainable Artificial Intelligence (XAI)
- Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Diverse Music Education Insights
- Emotional Intelligence and Performance
- Genetics and Plant Breeding
- Innovative Teaching and Learning Methods
- Motivation and Self-Concept in Sports
- Educational Strategies and Epistemologies
- Sociology and Education Studies
- Teacher Professional Development and Motivation
- Knowledge Societies in the 21st Century
- Genetic Mapping and Diversity in Plants and Animals
- Mental Health Research Topics
- Cognitive and developmental aspects of mathematical skills
- German Literature and Culture Studies
University of the Witwatersrand
2024
University of Regensburg
2020-2023
Abstract Machine learning (ML) provides a powerful framework for the analysis of high‐dimensional datasets by modelling complex relationships, often encountered in modern data with many variables, cases and potentially non‐linear effects. The impact ML methods on research practical applications educational sciences is still limited, but continuously grows, as larger more become available through massive open online courses (MOOCs) large‐scale investigations. are at crucial pivot point,...
Abstract This paper reports on empirical results about the influence of two different teaching designs development tertiary students’ modelling competency and attitudes towards modelling. A total 144 first year engineering students were exposed to a diagnostic entrance test, unit consisting five lessons with ten tasks, enframed by pre- post-test, at end questionnaire mathematical Similar German DISUM study, in unit, one group participants followed an independence-oriented style, aiming...
This article details how the FALKE research project ( Fa chspezifische L ehrer k ompetenzen im E rklären; Engl.: subject-specific teacher competency in explaining) integrates 14 heterogeneous disciplines order to empirically examine didactic quality of explanations eleven school subjects by bringing together trans-, multi-, and interdisciplinary perspectives. In illustrate academic landscape we briefly outline nature transdisciplinary German “Fachdidaktiken” (Engl.: subject-matter didactics,...
A central task of educational research is to examine common issues teaching and learning in all subjects taught at school. At the same time, focus on identifying investigating unique subject-specific aspects one hand transdisciplinary, generalizable effects other. This poses various methodological challenges for researchers, including particular aggregation evaluation already published study effects, hierarchical data structures, measurement errors, comprehensive sets with a large number...
The assumption that multi-grade learning enhances and sustains positive self-concept is widespread, although neither theory nor empirics have yet allowed for firm conclusions. This paper reports on a representative longitudinal study of in grades 3 4 comparing the development students' reading single-grade classes, also providing differentiated analysis at varying performance levels. results show less stable classes. At end grade 3, classes lower than average achievement level higher. effect...
Este artículo está orientado a la práctica e informa sobre una unidad de modelización matemática desarrollada específicamente para estudiantes primer año ingeniería en un contexto sudafricano. La idea principal era fomentar el desarrollo competencia los estudiantes. Esta apoya objetivo esencial enseñanza las matemáticas, que es permitir resolver problemas del mundo real por medio matemáticas. consta cinco lecciones y varias tareas, cuidadosamente planificadas tener cuenta conocimientos...
Classical statistical methods are limited in the analysis of highdimensional datasets. Machine learning (ML) provides a powerful framework for prediction by using complex relationships, often encountered modern data with large number variables, cases and potentially non-linear effects. ML has turned into one most influential analytical approaches this millennium recently become popular behavioral social sciences. The impact on research practical applications educational sciences is still...
Teresa Scheubeck und Alfred Lindl gehen in ihrer empirisch fundierten Studie der Frage nach, „inwiefern ein reichhaltiges Kontextwissen aus antiken Mythologie bei Schulern tieferes Verstandnis von Werken aktuellen Alltags- Popularkultur begunstigen kann“, „ob sich diesbezuglich Schuler mit langjahriger Lateinerfahrung ihren Kollegen ohne Lateinkenntnisse abheben.“
Zusammenfassung In einer quasi-experimentellen Längsschnittstudie wurde die Leistungsentwicklung jahrgangsgemischt und jahrgangshomogen unterrichteter Schüler*innen des dritten vierten Schuljahres ( N = 1644) aus 125 Klassen n 68, 57) zu drei Messzeitpunkten miteinander verglichen. Die Ergebnisse der gematchten Gesamtstichprobe zeigen – bei vergleichbaren Ausgangswerten Beginn Jahrgangstufe am Ende Jahrgangsstufe keine Unterschiede. bis zum belegt hingegen insgesamt einen kleinen Effekt...
Classical statistical methods are limited in the analysis of highdimensional datasets. Machine learning (ML) provides a powerful framework for prediction by using complex relationships, often encountered modern data with large number variables, cases and potentially non-linear effects. ML has turned into one most influential analytical approaches this millennium recently become popular behavioral social sciences. The impact on research practical applications educational sciences is still...