Using Log Data to Validate Performance Assessments of Mathematical Modeling Practices

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  • Additional Information
    • Peer Reviewed:
      Y
    • Source:
      4
    • Sponsoring Agency:
      Institute of Education Sciences (ED)
    • Contract Number:
      R305A210432
      91990019C0037
    • Education Level:
      High Schools
      Secondary Education
    • Subject Terms:
      Mathematical Models; Intelligent Tutoring Systems; Performance Based Assessment; Data Collection; Learning Analytics; Competence; Computer Assisted Testing; Multiple Choice Tests; High School Students; Science Tests; Computer Simulation; Science Laboratories; Graphs
    • Accession Number:
      10.1007/978-3-031-11647-6_99
    • Abstract:
      Many national science frameworks (e.g., Next Generation Science Standards) argue that developing mathematical modeling competencies is critical for students' deep understanding of science. However, science teachers may be unprepared to assess these competencies. We are addressing this need by developing virtual lab performance assessments that assess these competencies in science inquiry contexts. Through our design processes, we developed a method for validating the assessments that takes advantage of the unique opportunities afforded by collecting log data. Here, we describe this method and demonstrate its utility by analyzing students' competencies with one example sub-practice of mathematical modeling, "plotting controlled data generated from a simulation." [This is a paper in: M. M. Rodrigo et al. (Eds.): AIED 2022, LNCS 13356, (pp. 488--491), 2022.]
    • Abstract:
      As Provided
    • IES Funded:
      Yes
    • Publication Date:
      2023
    • Accession Number:
      ED628861