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Yasin Memis – Journal of Pedagogical Research, 2025
The integration of artificial intelligence (AI) into mathematical problem-solving has shown significant potential to enhance student learning and performance. However, while AI tools offer numerous benefits, they are prone to occasional conceptual and arithmetic errors that can mislead users and obscure understanding. This research examines such…
Descriptors: Artificial Intelligence, Mathematics Instruction, Problem Solving, Error Patterns
Babawande Emmanuel Olawale; Saidat Adeniji; Zizipho Mabhoza – Mathematics Education Research Group of Australasia, 2025
This paper analyses learners' common errors in simplifying algebraic problems. 102 Grade 10 learners from three rural schools in South Africa participated in the study. Following a quantitative approach, content analysis of learners' responses to algebraic tests revealed that while learners commit several errors in algebraic problems, encoding and…
Descriptors: Algebra, Grade 10, High School Students, Secondary School Mathematics
Angelika Kullberg; Camilla Björklund; Ulla Runesson Kempe – Educational Studies in Mathematics, 2024
The decomposition of numbers when solving subtraction tasks is regarded as more powerful than counting-based strategies. Still, many students fail to solve subtraction tasks despite using decomposition. To shed light upon this issue, we take a variation theoretical perspective (Marton, 2015) seeing learning as a function of discerning critical…
Descriptors: Subtraction, Number Concepts, Grade 2, Elementary School Students
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
Michael Röbner; Karin Binder; Corbinian Geier; Stefan Krauss – Educational Studies in Mathematics, 2025
It has been established that, in Bayesian tasks, performance and typical errors in reading information from filled visualizations depend both on the type of the provided visualization and information format. However, apart from reading visualizations, students should also be able to create visualizations on their own and successfully use them as…
Descriptors: Academic Achievement, Error Patterns, Probability, Visualization
Alves, Alexandre – International Journal of Mathematical Education in Science and Technology, 2023
Taylor series play a ubiquitous role in calculus courses, and their applications as approximants to functions are widely taught and used everywhere. However, it is not common to present the students with other types of approximations besides Taylor polynomials. These notes show that polynomials construed to satisfy certain boundary conditions at…
Descriptors: Mathematics Instruction, Teaching Methods, Calculus, Error Patterns
Sonja Dieterich; Stefan Rumann; Marc Rodemer – Educational Psychology Review, 2025
Example-based learning is a well-known instructional method for effective cognitive skill acquisition in complex domains. "(Contrasting) erroneous examples" are a promising extension that embed errors in instructional material, potentially fostering not only positive but negative knowledge. However, the mechanisms and conditions for…
Descriptors: Learning Processes, Teaching Methods, Instructional Effectiveness, Models
Bogdan Simion; Lisa Zhang; Giang Bui; Hancheng Huang; Ramzi Abu-Zeineh; Shrey Vakil – ACM Transactions on Computing Education, 2025
Although ample research has focused on computing skill development over a single course or specific programming language, relatively little attention is paid to how computing skills evolve across a program. Our work aims to understand how specific skills develop throughout a progression of CS courses. We use qualitative content analysis to catalog…
Descriptors: Skill Development, Computer Science Education, Computer Literacy, Prerequisites
Pradina Parameswari; Purwanto; Sudirman; Susiswo – Mathematics Teaching Research Journal, 2024
Students' difficulties in differentiating the direct proportion and inverse proportion problems cause interference. Proactive interference is the error that occurs when old information (concept of direct proportion) interferes with new information (concept of inverse proportion). In solving the problem of inverse proportion, students often use the…
Descriptors: Problem Solving, Mathematical Concepts, Mathematics Instruction, Grade 8
The Structure of Students' Mathematical Errors in Solving Calculus Problems Based on Cognitive Style
In Hi. Abdullah; Hery Suharna; Mustafa AH. Ruhama – International Education Studies, 2024
The understanding mathematical concept is an error that often occurs in classroom learning among students when solving mathematical problems. The most difficult part for students is solving problems, because it requires numeracy skills, high concept mastery, as well as the ability to use good language, and so on so that students don't make any…
Descriptors: Error Patterns, Problem Solving, Cognitive Style, Calculus
Green, Kimberly M.; Ferrell, Lantz – Journal of Instructional Pedagogies, 2023
Functions and formulas in spreadsheets provide an instructional opportunity to help students build their skills in identifying errors in their own work and identifying a path to go about correcting the errors. This paper provides examples of functions and equations used to create two approaches to calculating the solution to one problem, such as a…
Descriptors: Spreadsheets, Problem Solving, Error Patterns, Error Correction
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
Janet Metcalfe; Judy Xu; Matti Vuorre; Robert Siegler; Dylan Wiliam; Robert A. Bjork – British Journal of Educational Psychology, 2025
Background: Although the generation of errors has been thought, traditionally, to impair learning, recent studies indicate that, under particular feedback conditions, the commission of errors may have a beneficial effect. Aims: This study investigates the teaching strategies that facilitate learning from errors. Materials and Methods: This 2-year…
Descriptors: Error Patterns, Error Correction, Direct Instruction, Test Preparation
Lucy A. Watson; Elizabeth B. Harkey; Angela T. Barlow – Mathematics Teacher: Learning and Teaching PK-12, 2024
Barlow et al. (2018) discussed three types of mistakes worthy of inspection: procedural errors, inappropriate solution processes, and misconceptions. Here, the authors focus on procedural errors, as these often led the teachers in their professional development project to limit their inspection of mistakes to correcting. Despite this narrow focus,…
Descriptors: Mathematics Instruction, Misconceptions, Teaching Methods, Error Patterns
Puleng Motseki; Kakoma Luneta – African Journal of Research in Mathematics, Science and Technology Education, 2024
Among the problems identified at Technical and Vocational Education and Training (TVET) colleges, low achievement in mathematical subjects is the most prominent one. This paper documents a qualitative case study undertaken at TVET College in Gauteng with the purpose of exploring the National Certificate Vocational (NC(V)) Level 4 students' errors…
Descriptors: Vocational Education, Student Reaction, Low Achievement, Mathematics Achievement

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