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

Research output: Journal contributionsJournal articlesResearchpeer-review

Standard

How to combine collaboration scripts and heuristic worked examples to foster mathematical argumentation - when working memory matters. / Schwaighofer, Matthias; Vogel, Freydis; Kollar, Ingo et al.
In: International Journal of Computer-Supported Collaborative Learning, Vol. 12, No. 3, 01.09.2017, p. 281-305.

Research output: Journal contributionsJournal articlesResearchpeer-review

Harvard

APA

Vancouver

Bibtex

@article{279abecac6c74c20a7d4384055124cc5,
title = "How to combine collaboration scripts and heuristic worked examples to foster mathematical argumentation - when working memory matters",
abstract = "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{\textquoteright} 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.",
keywords = "Mathematical argumentation skills, Collaboration scripts, Heuristic worked examples, Working memory capacity, Educational science",
author = "Matthias Schwaighofer and Freydis Vogel and Ingo Kollar and Stefan Ufer and Anselm Strohmaier and Ilka Terwedow and Sarah Ottinger and Reiss, {Kristina M.} and Frank Fischer",
year = "2017",
month = sep,
day = "1",
doi = "10.1007/s11412-017-9260-z",
language = "English",
volume = "12",
pages = "281--305",
journal = "International Journal of Computer-Supported Collaborative Learning",
issn = "1556-1607",
publisher = "Springer Publishing Company",
number = "3",

}

RIS

TY - JOUR

T1 - How to combine collaboration scripts and heuristic worked examples to foster mathematical argumentation - when working memory matters

AU - Schwaighofer, Matthias

AU - Vogel, Freydis

AU - Kollar, Ingo

AU - Ufer, Stefan

AU - Strohmaier, Anselm

AU - Terwedow, Ilka

AU - Ottinger, Sarah

AU - Reiss, Kristina M.

AU - Fischer, Frank

PY - 2017/9/1

Y1 - 2017/9/1

N2 - 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.

AB - 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.

KW - Mathematical argumentation skills

KW - Collaboration scripts

KW - Heuristic worked examples

KW - Working memory capacity

KW - Educational science

UR - http://www.scopus.com/inward/record.url?scp=85029742597&partnerID=8YFLogxK

U2 - 10.1007/s11412-017-9260-z

DO - 10.1007/s11412-017-9260-z

M3 - Journal articles

VL - 12

SP - 281

EP - 305

JO - International Journal of Computer-Supported Collaborative Learning

JF - International Journal of Computer-Supported Collaborative Learning

SN - 1556-1607

IS - 3

ER -

Recently viewed

Publications

  1. Neural Combinatorial Optimization on Heterogeneous Graphs
  2. Constructions and Reconstructions. The Architectural Image between Rendering and Photography
  3. Analyzing different types of moderated method effects in confirmatory factor models for structurally different methods
  4. Using the flatness of DC-Drives to emulate a generator for a decoupled MPC using a geometric approach for motion control in Robotino
  5. Dynamic Lot Size Optimization with Reinforcement Learning
  6. Latent structure perceptron with feature induction for unrestricted coreference resolution
  7. Intersection tests for the cointegrating rank in dependent panel data
  8. Dispatching rule selection with Gaussian processes
  9. Unidimensional and Multidimensional Methods for Recurrence Quantification Analysis with crqa
  10. Optimizing sampling of flying insects using a modified window trap
  11. Finding Similar Movements in Positional Data Streams
  12. Exploration strategies, performance, and error consequences when learning a complex computer task
  13. The Use of Genetic Algorithm for PID Controller Auto-Tuning in ARM CORTEX M4 Platform
  14. Lyapunov stability analysis to set up a PI controller for a mass flow system in case of a non-saturating input
  15. Empowering materials processing and performance from data and AI
  16. Multidimensional Cross-Recurrence Quantification Analysis (MdCRQA)–A Method for Quantifying Correlation between Multivariate Time-Series
  17. Changing the Administration from within:
  18. Using cross-recurrence quantification analysis to compute similarity measures for time series of unequal length with applications to sleep stage analysis
  19. Using Decision Trees and Reinforcement Learning for the Dynamic Adjustment of Composite Sequencing Rules in a Flexible Manufacturing System
  20. On the Functional Controllability Using a Geometric Approach together with a Decoupled MPC for Motion Control in Robotino
  21. On the Power and Performance of a Doubly Latent Residual Approach to Explain Latent Specific Factors in Multilevel-Bifactor-(S-1) Models
  22. The role of learners’ memory in app-based language instruction: the case of Duolingo.
  23. Using learning protocols for knowledge acquisition and problem solving with individual and group incentives
  24. Hierarchical trait filtering at different spatial scales determines beetle assemblages in deadwood
  25. Improving short-term academic performance in the flipped classroom using dynamic geometry software
  26. A model predictive control for an aggregate actuator with a self-tuning initial condition procedure in combustion engines
  27. An extended analytical approach to evaluating monotonic functions of fuzzy numbers
  28. FaST: A linear time stack trace alignment heuristic for crash report deduplication
  29. A computational study of a model of single-crystal strain-gradient viscoplasticity with an interactive hardening relation
  30. Predicting the Difficulty of Exercise Items for Dynamic Difficulty Adaptation in Adaptive Language Tutoring
  31. Lyapunov Convergence Analysis for Asymptotic Tracking Using Forward and Backward Euler Approximation of Discrete Differential Equations
  32. Distinguishing state variability from trait change in longitudinal data