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 |
| 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 |
| 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."] |
|---|---|
| DOI: | 10.1080/07380569.2024.2416422 |
