Using heuristic worked examples to promote solving of reality‑based tasks in mathematics in lower secondary school

Research output: Journal contributionsJournal articlesResearchpeer-review

Standard

Using heuristic worked examples to promote solving of reality‑based tasks in mathematics in lower secondary school. / Hänze, Martin; Leiss, Dominik.
In: Instructional Science, Vol. 50, No. 4, 01.08.2022, p. 529 - 549.

Research output: Journal contributionsJournal articlesResearchpeer-review

Harvard

APA

Vancouver

Bibtex

@article{71ade845c67d4060bbcd6e2538af569f,
title = "Using heuristic worked examples to promote solving of reality‑based tasks in mathematics in lower secondary school",
abstract = "This study examined whether learning with heuristic worked examples can improve students{\textquoteright} competency in solving reality-based tasks in mathematics (mathematical modeling competency). We randomly assigned 134 students in Grade 5 and 180 students in Grade 7 to one of three conditions: control condition (students worked on reality-based tasks), worked example condition (students studied worked examples representing a realistic process of problem-solving by fictitious students negotiating solutions to the tasks), and prompted worked example condition (students additionally received self-explanation prompts). In all three conditions, the students worked on the tasks individually and independently for 45 min. Dependent measures were mathematical modeling competency (number of adequate solution steps and strategies) and modeling-specific strategy knowledge. Results showed that although strategy knowledge could be improved through the intervention for fifth and seventh graders, modeling competency was improved only for seventh graders. The prompting of self-explanations had no additional effect for either fifth or seventh graders.",
keywords = "Didactics of Mathematics, Heuristic worked examples, Mathematical word problem, Modeling competency, Mathematical problem solving, Heuristic worked examples, Mathematical word problem, Modeling competency, Mathematical problem solving, Empirical education research",
author = "Martin H{\"a}nze and Dominik Leiss",
note = "Publisher Copyright: {\textcopyright} 2022, The Author(s).",
year = "2022",
month = aug,
day = "1",
doi = "10.1007/s11251-022-09583-8",
language = "English",
volume = "50",
pages = "529 -- 549",
journal = "Instructional Science",
issn = "0020-4277",
publisher = "Springer Netherlands",
number = "4",

}

RIS

TY - JOUR

T1 - Using heuristic worked examples to promote solving of reality‑based tasks in mathematics in lower secondary school

AU - Hänze, Martin

AU - Leiss, Dominik

N1 - Publisher Copyright: © 2022, The Author(s).

PY - 2022/8/1

Y1 - 2022/8/1

N2 - This study examined whether learning with heuristic worked examples can improve students’ competency in solving reality-based tasks in mathematics (mathematical modeling competency). We randomly assigned 134 students in Grade 5 and 180 students in Grade 7 to one of three conditions: control condition (students worked on reality-based tasks), worked example condition (students studied worked examples representing a realistic process of problem-solving by fictitious students negotiating solutions to the tasks), and prompted worked example condition (students additionally received self-explanation prompts). In all three conditions, the students worked on the tasks individually and independently for 45 min. Dependent measures were mathematical modeling competency (number of adequate solution steps and strategies) and modeling-specific strategy knowledge. Results showed that although strategy knowledge could be improved through the intervention for fifth and seventh graders, modeling competency was improved only for seventh graders. The prompting of self-explanations had no additional effect for either fifth or seventh graders.

AB - This study examined whether learning with heuristic worked examples can improve students’ competency in solving reality-based tasks in mathematics (mathematical modeling competency). We randomly assigned 134 students in Grade 5 and 180 students in Grade 7 to one of three conditions: control condition (students worked on reality-based tasks), worked example condition (students studied worked examples representing a realistic process of problem-solving by fictitious students negotiating solutions to the tasks), and prompted worked example condition (students additionally received self-explanation prompts). In all three conditions, the students worked on the tasks individually and independently for 45 min. Dependent measures were mathematical modeling competency (number of adequate solution steps and strategies) and modeling-specific strategy knowledge. Results showed that although strategy knowledge could be improved through the intervention for fifth and seventh graders, modeling competency was improved only for seventh graders. The prompting of self-explanations had no additional effect for either fifth or seventh graders.

KW - Didactics of Mathematics

KW - Heuristic worked examples

KW - Mathematical word problem

KW - Modeling competency

KW - Mathematical problem solving

KW - Heuristic worked examples

KW - Mathematical word problem

KW - Modeling competency

KW - Mathematical problem solving

KW - Empirical education research

UR - http://www.scopus.com/inward/record.url?scp=85128382740&partnerID=8YFLogxK

UR - https://www.mendeley.com/catalogue/28a5077f-9292-3139-8815-a1d33680bf1d/

U2 - 10.1007/s11251-022-09583-8

DO - 10.1007/s11251-022-09583-8

M3 - Journal articles

VL - 50

SP - 529

EP - 549

JO - Instructional Science

JF - Instructional Science

SN - 0020-4277

IS - 4

ER -

Recently viewed

Publications

  1. Spaces for challenging experiences, indeterminacy, and experimentation
  2. Robust feedback linearization using an adaptive PD regulator for a sensorless control of a throttle valve
  3. Does thinking-aloud affect learning, visual information processing and cognitive load when learning with seductive details as expected from self-regulation perspective?
  4. A Study on the Performance of Adaptive Neural Networks for Haze Reduction with a Focus on Precision
  5. Using qualitative and quantitative arguments in decision-making situations
  6. For a return to the forgotten formula: 'Data 1 + Data 2 > Data 1'
  7. Advances in Dynamics, Optimization and Computation
  8. Using Language Learning Resources on YouTube
  9. Cognitive Predictors of Child Second Language Comprehension and Syntactic Learning
  10. A Theoretical Dynamical Noninteracting Model for General Manipulation Systems Using Axiomatic Geometric Structures
  11. Using augmented video to test in-car user experiences of context analog HUDs
  12. Measuring Learning Styles with Questionnaires Versus Direct Observation of Preferential Choice Behavior in Authentic Learning Situations
  13. Robust Control of Mobile Transportation Object with 3D Technical Vision System
  14. Teachers’ use of data from digital learning platforms for instructional design
  15. Cognitive load and instructionally supported learning with provided and learner-generated visualizations
  16. Modeling Conditional Dependencies in Multiagent Trajectories
  17. Towards a Global Script?
  18. Quantum Computing and the Analog/Digital Distinction
  19. Model predictive control for switching gain adaptation in a sliding mode controller of a DC drive with nonlinear friction
  20. Homogenization methods for multi-phase elastic composites
  21. How Much Home Office is Ideal? A Multi-Perspective Algorithm
  22. Finding Creativity in Predictability: Seizing Kairos in Chronos Through Temporal Work in Complex Innovation Processes
  23. A comparison of ML, WLSMV and Bayesian methods for multilevel structural equation models in small samples: A simulation study
  24. Return of Fibonacci random walks
  25. Restoring Causal Analysis to Structural Equation ModelingReview of Causality: Models, Reasoning, and Inference (2nd Edition), by Judea Pearl
  26. Guest Editorial Special Issue on Sensors in Machine Vision of Automated Systems
  27. Correlation of Microstructure and Local Mechanical Properties Along Build Direction for Multi-layer Friction Surfacing of Aluminum Alloys
  28. Dynamic environment modelling and prediction for autonomous systems