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Trueman, Jennifer – Teaching Children Mathematics, 2019
Mistakes are a window into students' mathematical understanding. Taking the time to analyze mistakes can inform you of where students are in their thinking. They can also guide you with respect to how to proceed with instruction. Introduced here are two categories of mistakes: meaty mistakes and minor mistakes. Meaty mistakes demonstrate gaps in…
Descriptors: Error Patterns, Error Correction, Mathematics Skills, Mathematics Instruction
Veena Paliwal – North American Chapter of the International Group for the Psychology of Mathematics Education, 2023
This study was designed to examine the use of mistakes to promote students' performance in undergraduate Algebra classes by developing a growth mindset. Participants were seventy-four students from three Algebra classes and received one of the three interventions along with regular instruction: (a) growth mindset feedback on mistakes…
Descriptors: Mathematics Education, Mathematics Instruction, Teaching Methods, Algebra
Özel, Zeynep; Isiksal-Bostan, Mine; Tekin-Sitrava, Reyhan – International Journal for Mathematics Teaching and Learning, 2022
This qualitative case study aimed to investigate prospective middle school mathematics teachers' instructional responses based on the students' correct and incorrect functional thinking within the context of pattern generalization. The data were collected from thirty-two prospective teachers through a written task and semi-structured interviews…
Descriptors: Preservice Teachers, Middle School Teachers, Mathematics Teachers, Responses
Yorulmaz, Alper; Dogan, Midrabi Cihangir – Educational Policy Analysis and Strategic Research, 2022
In the current study, it is aimed to determine the activities that need to be done to eliminate the mistakes made by primary school fourth grade students in multiplication and division operations and to present solution suggestions for eliminating these mistakes. The study employed action research, one of the qualitative research methods. The…
Descriptors: Foreign Countries, Elementary School Students, Elementary School Mathematics, Grade 4
Ulu, Mustafa – International Electronic Journal of Elementary Education, 2017
This study aims to identify errors made by primary school students when modelling word problems and to eliminate those errors through scaffolding. A 10-question problem-solving achievement test was used in the research. The qualitative and quantitative designs were utilized together. The study group of the quantitative design comprises 248…
Descriptors: Foreign Countries, Error Patterns, Elementary School Students, Grade 4
Baraké, Farah; El-Rouadi, Naim; Musharrafieh, Juhaina – Journal of Education and Learning, 2015
This article sheds light and reflects on how students in grades seven and eight read and understand implicit data when solving a story problem. Problem solving experiences help in adding up to the child's mathematical knowledge and promote a higher level of critical thinking abilities. Seventh and eighth grade students were selected from two…
Descriptors: Foreign Countries, Problem Solving, Middle School Students, Grade 7

Gagatsis, Athanasios – Early Child Development and Care, 1999
Examined aspects of dyslexia as they became apparent during the construction of geometrical figures by one student as described by another, one of whom had dyslexic symptoms. Found that both dyslexic and non-dyslexic children encountered many communication problems, but that directional confusion of dyslexic students was one of the major…
Descriptors: Adolescents, Children, Dyslexia, Error Correction
Lynch, Collin F., Ed.; Merceron, Agathe, Ed.; Desmarais, Michel, Ed.; Nkambou, Roger, Ed. – International Educational Data Mining Society, 2019
The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…
Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis