Designing the Next Generation of Map Assessment Systems: Open Questions and Opportunities to Automatically Assess a Student's Knowledge as a Map

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  • Author(s): Giabbanelli, Philippe J. (ORCID Giabbanelli, Philippe J. (ORCID 0000-0001-6816-355X); Tawfik, Andrew A. (ORCID Tawfik, Andrew A. (ORCID 0000-0002-9172-3321); Wang, Bao (ORCID Wang, Bao (ORCID 0000-0002-9896-5542)
  • Language:
    English
  • Source:
    Journal of Research on Technology in Education. 2023 55(1):79-93.
  • Publication Date:
    2023
  • Document Type:
    Journal Articles
    Reports - Evaluative
  • Additional Information
    • Availability:
      Routledge. Available from: Taylor & Francis, Ltd. 530 Walnut Street Suite 850, Philadelphia, PA 19106. Tel: 800-354-1420; Tel: 215-625-8900; Fax: 215-207-0050; Web site: http://www.tandf.co.uk/journals
    • Peer Reviewed:
      Y
    • Source:
      15
    • Subject Terms:
      Problem Solving; Maps; Artificial Intelligence; Evaluation Methods; Educational Technology; Problem Based Learning; Barriers; Computer Software; Student Evaluation; Graphs; Formative Evaluation; Summative Evaluation
    • Accession Number:
      10.1080/15391523.2022.2119449
    • ISSN:
      1539-1523
      1945-0818
    • Abstract:
      Instructional strategies employing complex problem-solving examine how learners represent the problem space and argue for decisions. Unlike problems with few solutions (e.g., multiple choices), instructors struggle to evaluate solutions to ill-structured problems quickly and consistently across students. This prevents instructors to provide timely feedback to learners, who may continue to engage in erroneous thinking. Despite the availability of several software packages to assess the learners' works as maps, several barriers still prevent the wide-scale adoption of such assessment systems by instructors. We examine three open questions and identify opportunities from Artificial Intelligence to develop the next generation of assessment systems.
    • Abstract:
      As Provided
    • Publication Date:
      2023
    • Accession Number:
      EJ1377778