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Mansour Saleh Alabdulaziz – Educational Process: International Journal, 2025
Background/purpose: This study aimed to identify common mistakes made in master's theses on mathematics education by Saudi mathematics students at lAU in Saudi Arabia, as determined through a content analysis, and to compare these with the views of faculty members. Materials/methods: A descriptive approach (analytical and survey) was employed. The…
Descriptors: Foreign Countries, Masters Theses, Error Patterns, Mathematics Education
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Adu-Gyamfi, Kwaku; Stiff, Lee V.; Bosse, Michael J. – School Science and Mathematics, 2012
Translation errors and conceptual misunderstandings made by students translating among graphical, tabular, and symbolic representations of linear functions were examined. The study situated student errors in the context of the "Translation-Verification Model" developed specifically for the purpose of explaining student behavior during the process…
Descriptors: Student Behavior, Translation, Error Patterns, Models
Pearlman, Leslie – ProQuest LLC, 2011
This dissertation examines the patterns and types of mistakes students make on a large-scale mathematics assessment, and puts these patterns into perspective based on the textbook used and the specific content covered in a student's classroom. In order to investigate the nature of these patterns, I employ a method of analysis originally designed…
Descriptors: State Standards, Statistical Significance, Mathematics Education, Social Networks
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Kirshner, David; Awtry, Thomas – Journal for Research in Mathematics Education, 2004
Information processing researchers have assumed that algebra symbol skills depend on mastery of the abstract rules presented in the curriculum (Matz, 1980; Sleeman, 1986). Thus, students' ubiquitous algebra errors have been taken as indicating the need to embed algebra in rich contextual settings (Kaput, 1995; National Council of Teachers of…
Descriptors: Mathematics Teachers, Information Processing, Algebra, Mathematics Skills
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection