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Bednorz, David; Kleine, Michael – International Electronic Journal of Mathematics Education, 2023
The study examines language dimensions of mathematical word problems and the classification of mathematical word problems according to these dimensions with unsupervised machine learning (ML) techniques. Previous research suggests that the language dimensions are important for mathematical word problems because it has an influence on the…
Descriptors: Word Problems (Mathematics), Classification, Mathematics Instruction, Difficulty Level
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Shure, Victoria; Rösken-Winter, Bettina – Research in Mathematics Education, 2022
Teaching simulations such as scriptwriting tasks offer a novel way to support pre-service teachers in gaining diagnostic competencies and in guiding students to work through difficulties. We first report on the theory-driven development of a scriptwriting task, specifically the theoretically-founded language- and accompanying content-related…
Descriptors: Mathematics Instruction, Teaching Methods, Difficulty Level, Fractions
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Kieferle, Sarah; Markic, Silvija – Chemistry Education Research and Practice, 2023
In the past decades, society in general has become strongly diverse. This change also affects schools. As a result, learning groups cannot be seen as homogeneous and taught in this way. One of the challenges is students' linguistic skills. Dealing with different linguistic competencies should not only be a focus of formal education in schools but…
Descriptors: Chemistry, Science Instruction, Scientific Concepts, Teaching Methods
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Heuzeroth, Johannes; Budke, Alexandra – Education Sciences, 2020
This explorative, qualitative study examines the use and effectiveness of resources of multilinguality, with particular regard to the development of causal links in geography classes. Contentual and linguistic strategies of multilingual pupils in creating causal links were collected and evaluated systematically. This was done by means of a…
Descriptors: Geography Instruction, Multilingualism, Content Analysis, Cooperative Learning