Scaffolding argumentation in mathematics with CSCL scripts: Which is the optimal scripting level for university freshmen?

Research output: Journal contributionsJournal articlesResearchpeer-review

Authors

Argumentative scripts for computer-supported collaborative learning are scaffolds that prompt learners to take over distributed roles and to move through a sequence of activities that specify an argumentative learning discourse. Argumentative scripts may lead to suboptimal effects on learning outcomes when their level of scaffolding does not fit learners’ prerequisites regarding argumentation. This study compares the effects of three different levels of argumentative scripts on learners’ argumentation knowledge and learning motivation. Results show that university freshmen in the context of mathematics seem to learn best when the argumentative script targets a medium level, scaffolding the sequence of social discourse, but not necessarily the construction of single arguments. Non-significant results regarding the effects on motivational variables speak against the concern that a too detailed structure of scripts may be detrimental for learning due to reduced learning motivation.

Original languageEnglish
JournalInnovations in Education and Teaching International
Volume58
Issue number5
Pages (from-to)512-521
Number of pages10
ISSN1470-3297
DOIs
Publication statusPublished - 2021

    Research areas

  • argumentation, CSCL script, motivation, scaffolding, university students
  • Educational science

Recently viewed

Publications

  1. Modeling items for text comprehension assessment using confirmatory factor analysis
  2. Supporting the Development and Implementation of a Digitalization Strategy in SMEs through a Lightweight Architecture-based Method
  3. Dynamic environment modelling and prediction for autonomous systems
  4. A tutorial introduction to adaptive fractal analysis
  5. Fast, Fully Automated Analysis of Voriconazole from Serum by LC-LC-ESI-MS-MS with Parallel Column-Switching Technique
  6. Robust Control of Mobile Transportation Object with 3D Technical Vision System
  7. Eighth Workshop on Mining and Learning with Graphs
  8. Knowledge Graph Question Answering and Large Language Models
  9. Introduction Mobile Digital Practices. Situating People, Things, and Data
  10. What can conservation strategies learn from the ecosystem services approach?
  11. A Class of Simple Stochastic Online Bin Packing Algorithms
  12. Constraints are the solution, not the problem
  13. Overcoming Multi-legacy Application Challenges through Building Dynamic Capabilities for Low-Code Adoption
  14. Positioning Improvement for a Laser Scanning System using cSORPD control
  15. Determinants and Outcomes of Dual Distribution:
  16. Handicaps in job assignment
  17. Covert and overt automatic imitation are correlated
  18. Exploring large vegetation databases to detect temporal trends in species occurrences
  19. Trait-based approaches to analyze links between the drivers of change and ecosystem services
  20. When, Where, and How Nature Matters for Ecosystem Services
  21. Lessons learned and challenges for environmental management in Colombia
  22. A latent state-trait analysis of current achievement motivation across different tasks of cognitive ability
  23. An interdisciplinary perspective on scaling in transitions
  24. Increased Reliability of Draw-In Prediction in a Single Stage Deep-Drawing Operation via Transfer Learning
  25. Steering of land use in the context of sustainable development