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Exploring Mathematical Problem-Solving through Process Mining: Insights from Large-Scale Assessment Log Data

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Title: Exploring Mathematical Problem-Solving through Process Mining: Insights from Large-Scale Assessment Log Data
Language: English
Authors: Burhan Ogut (ORCID 0000-0003-1729-1396), Blue Webb, Juanita Hicks, Ruhan Circi, Michelle Yin
Source: Grantee Submission. 2024.
Peer Reviewed: Y
Page Count: 58
Publication Date: 2024
Sponsoring Agency: Institute of Education Sciences (ED)
Contract Number: R324P210002
Document Type: Reports - Research
Education Level: Junior High Schools
Middle Schools
Secondary Education
Elementary Education
Grade 8
Descriptors: Mathematics Skills, Problem Solving, Learning Analytics, Algebra, Learning Strategies, Students with Disabilities, Computation, Autism Spectrum Disorders, Error Patterns, National Competency Tests, Mathematics Tests, Middle School Students, Grade 8
Assessment and Survey Identifiers: National Assessment of Educational Progress
DOI: 10.1080/07380569.2024.2416422
Abstract: In this study, we explore the application of process mining techniques on assessment log data to explore problem-solving strategies in Algebra. By analyzing sequences of student activities, we demonstrate the significant potential of process mining in identifying problem-solving strategies that lead to successful and unsuccessful outcomes. Our findings reveal that students who successfully solve the problem tend to follow one of three structured strategies, displaying a systematic process in filling the boxes of a Pascal's triangle. Conversely, those who falter often start with a correct strategy but deviate by inserting incorrect values, especially in central boxes. Further analysis provides insights into the strategies and potential misconceptions among students from various disability groups. Notably, autistic students exhibit unique patterns, such as initiating the solution from the triangle's right side, contrary to the common left-to-right strategy, and consistently applying this approach even when errors occur. [This paper was published in "Computers in the Schools."]
Abstractor: As Provided
IES Funded: Yes
Entry Date: 2024
Accession Number: ED661677
Database: ERIC
FullText Text:
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PubType: Report
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  Data: Exploring Mathematical Problem-Solving through Process Mining: Insights from Large-Scale Assessment Log Data
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  Data: <searchLink fieldCode="SO" term="%22Grantee+Submission%22"><i>Grantee Submission</i></searchLink>. 2024.
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  Data: 58
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  Data: Institute of Education Sciences (ED)
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  Data: 10.1080/07380569.2024.2416422
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: In this study, we explore the application of process mining techniques on assessment log data to explore problem-solving strategies in Algebra. By analyzing sequences of student activities, we demonstrate the significant potential of process mining in identifying problem-solving strategies that lead to successful and unsuccessful outcomes. Our findings reveal that students who successfully solve the problem tend to follow one of three structured strategies, displaying a systematic process in filling the boxes of a Pascal's triangle. Conversely, those who falter often start with a correct strategy but deviate by inserting incorrect values, especially in central boxes. Further analysis provides insights into the strategies and potential misconceptions among students from various disability groups. Notably, autistic students exhibit unique patterns, such as initiating the solution from the triangle's right side, contrary to the common left-to-right strategy, and consistently applying this approach even when errors occur. [This paper was published in "Computers in the Schools."]
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  Data: 2024
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  Label: Accession Number
  Group: ID
  Data: ED661677
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eric&AN=ED661677
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1080/07380569.2024.2416422
    Languages:
      – Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 58
    Subjects:
      – SubjectFull: Mathematics Skills
        Type: general
      – SubjectFull: Problem Solving
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      – SubjectFull: Learning Analytics
        Type: general
      – SubjectFull: Algebra
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      – SubjectFull: Learning Strategies
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      – SubjectFull: Students with Disabilities
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      – SubjectFull: Computation
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      – SubjectFull: Autism Spectrum Disorders
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      – SubjectFull: Error Patterns
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      – SubjectFull: National Competency Tests
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      – SubjectFull: Mathematics Tests
        Type: general
      – SubjectFull: Middle School Students
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      – SubjectFull: Grade 8
        Type: general
      – SubjectFull: National Assessment of Educational Progress
        Type: general
    Titles:
      – TitleFull: Exploring Mathematical Problem-Solving through Process Mining: Insights from Large-Scale Assessment Log Data
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          Name:
            NameFull: Burhan Ogut
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            NameFull: Blue Webb
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            NameFull: Juanita Hicks
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              Y: 2024
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            – TitleFull: Grantee Submission
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