Children's use of spatial skills in solving two map-reading tasks in real space.

Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

Authors

Map reading is a cognitively demanding spatio-geometric activity for children that involveunderstanding and updating person-space-map relations during movement in a large environment. Drawing from the psychological literature, children’s skills in reasoning about those relations were tested in two tasks of a map-based treasure hunt on the campus ( self-location and place finding), and compared them to their performances in a set of spatial tasks in paper and pencil format. 9- to 12-year old children (N=240) placed colored stickers and arrows on the map to describe their location and orientation at three different places, and laid down three disks to mark locations they identified. Hierarchical linear regression analysis revealed that performances in a set of written spatial tasks predicted up to one quarter of the variance in performances in both map-reading tasks, while sex and strategy choice were not found to be important predictors.
Original languageEnglish
Title of host publicationProceedings of the Eleventh Congress of the European Society for Research in Mathematics Education
EditorsMarja van den Heuvel-Panhuizen, Uffe Thomas Jankvist, Michiel Veldhuis
Number of pages8
Place of PublicationUtrecht
PublisherUtrecht University
Publication date2019
Pages805-812
ISBN (electronic)978-90-73346-75-8
Publication statusPublished - 2019

Documents

Links

Recently viewed

Publications

  1. Topic Embeddings – A New Approach to Classify Very Short Documents Based on Predefined Topics
  2. A tutorial introduction to adaptive fractal analysis
  3. Template-based Question Answering using Recursive Neural Networks
  4. A sensor fault detection scheme as a functional safety feature for DC-DC converters
  5. Evaluating structural and compositional canopy characteristics to predict the light-demand signature of the forest understorey in mixed, semi-natural temperate forests
  6. lp-Norm Multiple Kernel Learning
  7. Design optimization of spiral coils for textile applications by genetic algorithm
  8. Exact and approximate inference for annotating graphs with structural SVMs
  9. Fast, Fully Automated Analysis of Voriconazole from Serum by LC-LC-ESI-MS-MS with Parallel Column-Switching Technique
  10. Recurrence Quantification Analysis of Processes and Products of Discourse
  11. Lessons learned for spatial modelling of ecosystem services in support of ecosystem accounting
  12. Construct Objectification and De-Objectification in Organization Theory
  13. Computational modeling of amorphous polymers
  14. Modeling and numerical simulation of multiscale behavior in polycrystals via extended crystal plasticity
  15. Influence of Process Parameters and Die Design on the Microstructure and Texture Development of Direct Extruded Magnesium Flat Products
  16. Simple saturated PID control for fast transient of motion systems
  17. Dynamic Lot Size Optimization with Reinforcement Learning
  18. The delay vector variance method and the recurrence quantification analysis of energy markets
  19. Introducing parametric uncertainty into a nonlinear friction model
  20. Faulty Process Detection Using Machine Learning Techniques
  21. TextGraphs 2024 Shared Task on Text-Graph Representations for Knowledge Graph Question Answering
  22. Clause identification using entropy guided transformation learning
  23. Mathematical Modeling for Robot 3D Laser Scanning in Complete Darkness Environments to Advance Pipeline Inspection
  24. Dispatching rule selection with Gaussian processes
  25. Constraints are the solution, not the problem
  26. Dynamic priority based dispatching of AGVs in flexible job shops
  27. Mining positional data streams
  28. Understanding the properties of isospectral points and pairs in graphs
  29. Improving students’ science text comprehension through metacognitive self-regulation when applying learning strategies
  30. Comments on "Tracking Control of Robotic Manipulators With Uncertain Kinematics and Dynamics"
  31. Computing regression statistics from grouped data
  32. From Knowledge to Application
  33. Gaussian processes for dispatching rule selection in production scheduling