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Error Analysis of Students in Solving First-Order Ordinary Differential Equation Based on SOLO Taxonomy and Newman Error Analysis

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Title: Error Analysis of Students in Solving First-Order Ordinary Differential Equation Based on SOLO Taxonomy and Newman Error Analysis
Language: English
Authors: Yarman, Fitrani Dwina, Dewi Murni, Yerizon
Source: Mathematics Teaching Research Journal. 2025 17(2):154-168.
Availability: City University of New York. Creative Commons. 205 East 42 Street, New York, NY 10017. Web site: https://mtrj.commons.gc.cuny.edu/
Peer Reviewed: Y
Page Count: 15
Publication Date: 2025
Document Type: Journal Articles
Reports - Research
Education Level: Higher Education
Postsecondary Education
Descriptors: Error Patterns, Mathematics Instruction, Problem Solving, Advanced Courses, Taxonomy, College Students, Mathematics Achievement, Algebra, Mathematical Formulas, Foreign Countries
Geographic Terms: Indonesia
ISSN: 2573-4377
Abstract: 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 students enrolled in the Department of Mathematics Education at the Faculty of Mathematics and Natural Science, Universitas Negeri Padang (FMIPA UNP). Data pertaining to students' performance was gathered through tests and documentation. Students' work was analyzed using SOLO taxonomy and Newman error analysis. The results showed that students' performance in solving first-order ODE was unsatisfactory due to conceptual errors, such as weak algebraic skills, incorrect formula usage, lack of knowledge in solving simple linear equations, and calculation errors. This research recommended examination at other universities to confirm these results and explore alternative solutions.
Abstractor: As Provided
Entry Date: 2025
Accession Number: EJ1474314
Database: ERIC
FullText Text:
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  Data: Error Analysis of Students in Solving First-Order Ordinary Differential Equation Based on SOLO Taxonomy and Newman Error Analysis
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  Data: City University of New York. Creative Commons. 205 East 42 Street, New York, NY 10017. Web site: https://mtrj.commons.gc.cuny.edu/
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  Data: 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 students enrolled in the Department of Mathematics Education at the Faculty of Mathematics and Natural Science, Universitas Negeri Padang (FMIPA UNP). Data pertaining to students' performance was gathered through tests and documentation. Students' work was analyzed using SOLO taxonomy and Newman error analysis. The results showed that students' performance in solving first-order ODE was unsatisfactory due to conceptual errors, such as weak algebraic skills, incorrect formula usage, lack of knowledge in solving simple linear equations, and calculation errors. This research recommended examination at other universities to confirm these results and explore alternative solutions.
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      – Text: English
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      Pagination:
        PageCount: 15
        StartPage: 154
    Subjects:
      – SubjectFull: Error Patterns
        Type: general
      – SubjectFull: Mathematics Instruction
        Type: general
      – SubjectFull: Problem Solving
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      – SubjectFull: Taxonomy
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      – SubjectFull: Mathematical Formulas
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      – SubjectFull: Foreign Countries
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      – SubjectFull: Indonesia
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      – TitleFull: Error Analysis of Students in Solving First-Order Ordinary Differential Equation Based on SOLO Taxonomy and Newman Error Analysis
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