Design and Validation of Procedurally Generated Personalised Spatial Reasoning Tests
Spatial intelligence is an important predictor of success in STEM subjects, and training it has been shown to improve students' achievements in STEM subjects. It is important to assess students' spatial reasoning skills, e.g., for measuring improvements or applying targeted interventions. However, traditional spatial intelligence tests are often paper-based, are not suitable for repeated use since answers can be learned, and do not take users' abilities and limitations into account. In this paper we present a computer graphics-based approach for procedurally generating spatial intelligence tests with adjustable difficulty level. Our validation shows that the resulting tests are feasible and correlate well with traditional spatial intelligence tests. Our research will enable simplified, repeated, and personalised spatial intelligence testing and that way enable educators, developers, and decision-makers to created targeted interventions helping students to succeed in STEM subjects.
Authors
- Nasser Giacaman (ORCID: https://orcid.org/0000-0001-6885-1571)
- Zixuan Wang (ORCID: https://orcid.org/0000-0002-9122-9390)
- Tim Li (ORCID: https://orcid.org/0000-0001-8008-5881)
- Burkhard Claus Wünsche
- Owen Xu
Institutions
- University of Auckland (NZ)
Publication Details
- Published
- 2024-12-04
- DOI
- https://doi.org/10.1109/ivcnz64857.2024.10794488
- Primary Topic
- Spatial Cognition and Navigation
- Type
- article
- Field-Weighted Citation Impact
- 0.00