How to combine collaboration scripts and heuristic worked examples to foster mathematical argumentation - when working memory matters

Research output: Journal contributionsJournal articlesResearchpeer-review

Authors

  • Matthias Schwaighofer
  • Freydis Vogel
  • Ingo Kollar
  • Stefan Ufer
  • Anselm Strohmaier
  • Ilka Terwedow
  • Sarah Ottinger
  • Kristina M. Reiss
  • Frank Fischer
Mathematical argumentation skills (MAS) are considered an important outcome of mathematics learning, particularly in secondary and tertiary education. As MAS are complex, an effective way of supporting their acquisition may require combining different scaffolds. However, how to combine different scaffolds is a delicate issue, as providing learners with more than one scaffold may be overwhelming, especially when these scaffolds are presented at the same time in the learning process and when learners’ individual learning prerequisites are suboptimal. The present study therefore investigated the effects of the presentation sequence of introducing two scaffolds (collaboration script first vs. heuristic worked examples first) and the fading of the primarily presented scaffold (fading vs. no fading) on the acquisition of dialogic and dialectic MAS of participants of a preparatory mathematics course at university. In addition, we explored how prior knowledge and working memory capacity moderated the effects. Overall, 108 university freshmen worked in dyads on mathematical proof tasks in four treatment sessions. Results showed no effects of the presentation sequence of the collaboration script and heuristic worked examples on dialogic and dialectic MAS. Yet, fading of the initially introduced scaffold had a positive main effect on dialogic MAS. Concerning dialectic MAS, fading the collaboration script when it was presented first was most effective for learners with low working memory capacity. The collaboration script might be appropriate to initially support dialectic MAS, but might be overwhelming for learners with lower working memory capacity when combined with heuristic worked examples later on.
Original languageEnglish
JournalInternational Journal of Computer-Supported Collaborative Learning
Volume12
Issue number3
Pages (from-to)281-305
Number of pages25
ISSN1556-1607
DOIs
Publication statusPublished - 01.09.2017
Externally publishedYes

    Research areas

  • Mathematical argumentation skills, Collaboration scripts, Heuristic worked examples, Working memory capacity
  • Educational science

Recently viewed

Publications

  1. The Use of Genetic Algorithm for PID Controller Auto-Tuning in ARM CORTEX M4 Platform
  2. Methodologies for Noise and Gross Error Detection using Univariate Signal-Based Approaches in Industrial Application
  3. Analysis and comparison of two finite element algorithms for dislocation density based crystal plasticity
  4. A genetic algorithm for a self-learning parameterization of an aerodynamic part feeding system for high-speed assembly
  5. Binary Random Nets I
  6. Using Natural Language Processing Techniques to Tackle the Construct Identity Problem in Information Systems Research
  7. Modeling Effective and Ineffective Knowledge Communication and Learning Discourses in CSCL with Hidden Markov Models
  8. Knowledge Graph Question Answering Using Graph-Pattern Isomorphism
  9. Graph Conditional Variational Models: Too Complex for Multiagent Trajectories?
  10. Using Euler Discrete Approximation to Control an Aggregate Actuator in Camless Engines
  11. Modeling and simulation of deformation behavior, orientation gradient development and heterogeneous hardening in thin sheets with coarse texture
  12. Analysis of Complexity Reduction in Kalman Filters Through Decoupling Control With Chattered Inputs in PMSM
  13. Framework for the Parallelized Development of Estimation Tasks for Length, Area, Capacity and Volume in Primary School - A Pilot Study
  14. Essentializing the binary self
  15. Using haar wavelets for fault detection in technical processes
  16. Using mixture distribution models to test the construct validity of the Physical Self-Description Questionnaire
  17. Adaptive and Dynamic Feedback Loops between Production System and Production Network based on the Asset Administration Shell
  18. Inversion of Fuzzy Neural Networks for the Reduction of Noise in the Control Loop for Automotive Applications
  19. Predicting the Difficulty of Exercise Items for Dynamic Difficulty Adaptation in Adaptive Language Tutoring
  20. Evaluation of Time/Phase Parameters in Frequency Measurements for Inertial Navigation Systems
  21. The Scalable Question Answering Over Linked Data (SQA) Challenge 2018
  22. A Lightweight Simulation Model for Soft Robot's Locomotion and its Application to Trajectory Optimization
  23. Optimal regulation for dynamic hybrid systems based on dynamic programming in the case of an intelligent vehicle drive assistant
  24. Application of non-convex rate dependent gradient plasticity to the modeling and simulation of inelastic microstructure development and inhomogeneous material behavior
  25. Expertise in research integration and implementation for tackling complex problems
  26. Set-oriented numerical computation of rotation sets
  27. An MPC for an Aggregate Actuator with a Self-Tuning Feedforward Control
  28. On the Power and Performance of a Doubly Latent Residual Approach to Explain Latent Specific Factors in Multilevel-Bifactor-(S-1) Models
  29. Machine Learning and Knowledge Discovery in Databases
  30. Making an Impression Through Openness
  31. Building a process layer for business applications using the blackboard pattern
  32. A model predictive control for an aggregate actuator with a self-tuning initial condition procedure in combustion engines
  33. A discrete approximate solution for the asymptotic tracking problem in affine nonlinear systems
  34. Global text processing in CSCL with learning protocols
  35. Performance and Comfort when Using Motion-Controlled Tools in Complex Tasks
  36. Neural network-based adaptive fault-tolerant control for strict-feedback nonlinear systems with input dead zone and saturation