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The Use of Process Data in Large-Scale Assessments: A Literature Review
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- Author(s): Ella Anghel (ORCID
Ella Anghel (ORCID 0000-0001-6332-7826 ); Lale Khorramdel; Matthias von Davier- Language:
English- Source:
Large-scale Assessments in Education. 2024 12.- Publication Date:
2024- Document Type:
Journal Articles
Information Analyses - Language:
- Additional Information
- Availability: Springer. Available from: Springer Nature. One New York Plaza, Suite 4600, New York, NY 10004. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-460-1700; e-mail: [email protected]; Web site: https://link.springer.com/
- Peer Reviewed: Y
- Source: 33
- Subject Terms:
- Accession Number: 10.1186/s40536-024-00202-1
- ISSN: 2196-0739
- Abstract: As the use of process data in large-scale educational assessments is becoming more common, it is clear that data on examinees' test-taking behaviors can illuminate their performance, and can have crucial ramifications concerning assessments' validity. A thorough review of the literature in the field may inform researchers and practitioners of common findings as well as existing gaps. This literature review used topic modeling to identify themes in 221 empirical studies using process data in large-scale assessments. We identified six recurring topics: response time models, response time-general, aberrant test-taking behavior, action sequences, complex problem-solving, and digital writing. We also discuss the prominent theories used by studies in each category. Based on these findings, we suggest directions for future research applying process data from large-scale assessments.
- Abstract: As Provided
- Publication Date: 2024
- Accession Number: EJ1423259
- Availability:
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