Reality-Based Tasks with Complex-Situations: Identifying Sociodemographic and Cognitive Factors for Solution

Research output: Journal contributionsJournal articlesResearchpeer-review

Authors

Acquiring mathematical literacy requires students to apply mathematics in various real-world contexts. However, mathematics classes often provide brief, content-focused descriptions of reality-based tasks and tasks that describe the situation as more complex, closer to reality, are still lacking. Students with different sociodemographic characteristics and cognitive factors have difficulties in solving reality-based tasks in mathematics lessons. The relationship between sociodemographic characteristics and cognitive factors (language and mathematical competence) concerning complex situation descriptions has not yet been investigated. To identify disadvantaged students in integrating such complex-situation tasks in mathematics lessons, this study aims to investigate which sociodemographic characteristics predict the solving of complex-situation tasks and whether cognitive factors mediate the relationship. Experts created 30 complex situations with different mathematical questions. A total of 519 9th- and 10th-grade students participated in a paper–pencil test. Path analysis revealed that the competence to solve complex-situation tasks is directly linked to gender and social background, with mathematical content-related skills and language competence mediating this relationship.
Original languageEnglish
JournalInternational Journal of Science and Mathematics Education
Volume23
Issue number1
Pages (from-to)97–120
Number of pages24
ISSN1571-0068
DOIs
Publication statusPublished - 01.2025

Bibliographical note

Funding Information:
The VAMPS project (Variation Tasks Mathematics, Physics, and Language) is funded by the German Research Foundation (DFG-project no.: 417017613, project leader: Dominik Leiss, Knut Schwippert, Timo Ehmke, Lena Heine, and Dietmar Hoettecke).

Funding Information:
Open Access funding enabled and organized by Projekt DEAL. The data collection and analysis described here was conducted as part of an interdisciplinary project funded by the German Research Foundation (DFG-project no. 417017613). After the end of the project period, the data will be made available to researchers on a national education server for further analysis.

Publisher Copyright:
© The Author(s) 2024.

Recently viewed

Publications

  1. A geometric approach for controlling an electromagnetic actuator with the help of a linear Model Predictive Control
  2. Simple saturated PID control for fast transient of motion systems
  3. Faulty Process Detection Using Machine Learning Techniques
  4. Supporting the Development and Implementation of a Digitalization Strategy in SMEs through a Lightweight Architecture-based Method
  5. Identification of conductive fiber parameters with transcutaneous electrical nerve stimulation signal using RLS algorithm
  6. HAWK - hybrid question answering using linked data
  7. Knowledge-Enhanced Language Models Are Not Bias-Proof
  8. Advances in Dynamics, Optimization and Computation
  9. Dynamic environment modelling and prediction for autonomous systems
  10. A general structural property in wavelet packets for detecting oscillation and noise components in signal analysis
  11. The effects of different on-line adaptive response time limits on speed and amount of learning in computer assisted instruction and intelligent tutoring
  12. Is too much help an obstacle? Effects of interactivity and cognitive style on learning with dynamic versus non-dynamic visualizations with narrative explanations
  13. Neural relational inference for disaster multimedia retrieval
  14. Mechanical performance prediction for friction riveting joints of dissimilar materials via machine learning
  15. The impact of goal focus, task type and group size on synchronous net-based collaborative learning discourses
  16. Spaces with a temper
  17. Need Satisfaction and Optimal Functioning at Leisure and Work: A Longitudinal Validation Study of the DRAMMA Model
  18. A MODEL FOR QUANTIFICATION OF SOFTWARE COMPLEXITY
  19. Recent Advances in Intelligent Algorithms for Fault Detection and Diagnosis
  20. Analysis And Comparison Of Dispatching RuleBased Scheduling In Dual-Resource Constrained Shop-Floor Scenarios
  21. Homogenization methods for multi-phase elastic composites with non-elliptical reinforcements
  22. Control system strategy of a modular omnidirectional AGV
  23. A Class of Simple Stochastic Online Bin Packing Algorithms