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Yarman; Fitrani Dwina; Dewi Murni; Yerizon – Mathematics Teaching Research Journal, 2025
The most common challenges students face in solving first-order ordinary differential equations (ODEs) can be overcome by identifying the types of errors, understanding the factors that cause difficulties, and finding appropriate solutions. Therefore, this research aimed to adopt a descriptive qualitative approach, including nine sixth-semester…
Descriptors: Error Patterns, Mathematics Instruction, Problem Solving, Advanced Courses
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Yohannes Tesfaye Sahlu; Mulugeta Woldemichael; Yonas Tessema Achule – International Journal for Mathematics Teaching and Learning, 2025
The purpose of this study was to investigate the types of errors grade 10 students make in solving selected trigonometry problems. Another aim was to understand the origins of these errors that Students make when solving trigonometry problems. Another central purpose of the study was to provide instructional recommendations for addressing the…
Descriptors: Grade 10, Secondary School Students, Error Patterns, Trigonometry
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Tzu-Hsing Lin; Paul J. Riccomini; Zhigao Liang – Learning Disability Quarterly, 2025
This study reviews the literature on error patterns in mathematics among students with mathematics difficulty. We analyzed and synthesized the findings from 17 studies, focusing on the characteristics of error analysis studies, the mathematics topics examined, and the specific error patterns identified. The results revealed the following: (a) the…
Descriptors: Mathematics, Mathematics Education, Mathematics Instruction, Mathematical Concepts
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Viwe Tunzana; Angel Mukuka; Benjamin Tatira – Mathematics Teaching Research Journal, 2025
This study aimed to evaluate the effectiveness of a remedial teaching intervention in improving learners' understanding of trigonometric equations. Using a mixed methods exploratory case study design, a purposive sample of 24 Grade 11 learners from a rural school in the Eastern Cape province participated in the intervention. The research involved…
Descriptors: Mathematics Instruction, Remedial Instruction, Trigonometry, Misconceptions
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Kole A. Norberg; Husni Almoubayyed; Logan De Ley; April Murphy; Kyle Weldon; Steve Ritter – International Journal of Artificial Intelligence in Education, 2025
Large language models (LLMs) offer an opportunity to make large-scale changes to educational content that would otherwise be too costly to implement. The work here highlights how LLMs (in particular GPT-4) can be prompted to revise educational math content ready for large scale deployment in real-world learning environments. We tested the ability…
Descriptors: Artificial Intelligence, Computer Software, Computational Linguistics, Educational Change