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Variability of worked examples and transfer of geometrical problem-solving skills: A cognitive-load approach.
Open accessAbstract
Four computer-based training strategies for geometrical problem solving in the domain of computer numerically controlled machinery programming were studied with regard to their effects on training performance, transfer performance, and cognitive load. A low- and a high-variability conventional condition, in which conventional practice problems had to be solved (followed by worked examples), were compared with a low- and a high-variability worked condition, in which worked examples had to be studied. Results showed that students who studied worked examples gained most from high-variability examples, invested less time and mental effort in practice, and attained better and less effort-demanding transfer performance than students who first attempted to solve conventional problems and then studied work examples. In complex cognitive domains such as mathematics, phys-ics, or computer programming, problem solutions can often be characterized by a hierarchical goal structure. The goal of these solutions can be attained only by successfully attaining all subgoals. Learning and performance of complex cogni-tive tasks are typically constrained by limited processing ca-
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“…principles has given rise to a set of identified cognitive load effects that can be applied in a number of different learning modalities to improve learning (Sweller et al., 2011, and see also Kalyuga, Chandler, & Sweller, 2000; Paas & van Merriënboer, 1994; van Merriënboer & De Croock, 1992).”
BackgroundEffects of Gamification on Active and Reflective Learners' Engagement and Cognitive Load
Topu, F. B. (2023) · Kuramsal Eğitimbilim · doi:10.30831/akukeg.1130771 · Cited by 11
“Cognitive Load Scale was applied by Paas and Van Merriënboer (1994) and was calculated the reliability coefficient of this scale as α =.82.”
MethodComparison of different approaches on example-based learning for novice and proficient learners
Huang, Y., Lin, K.-C., Xiang, Y., & Hung, J. C.-S. (2015) · Human-centric Computing and Information Sciences · doi:10.1186/s13673-015-0048-8 · Cited by 8
“” This scale is widely used in educational research [2, 25, 26].”
Background
Metadata
- Authors
- Paas, F. G. W. C., & Van Merriënboer, J. J. G.
- Affiliations
- Maastricht University (NL)
- Venue
- Journal of Educational Psychology
- Published
- 1994-03
- Volume
- 86
- Issue
- 1
- Pages
- 122-133
- ISSN
- 0022-0663 (ISSN-L)
- 1939-2176
- OpenAlex
- W2116669434
- Cited by
- 1,198
- References
- 52
- Citations by year
- 2026: 69 · 2025: 45 · 2024: 51 · 2023: 40 · 2022: 46 · 2021: 50 · 2020: 49 · 2019: 89 · 2018: 42 · 2017: 52 · 2016: 42 · 2015: 68 · 2014: 69 · 2013: 62 · 2012: 59
- FWCI
- 7.63
- Type
- journal article
- Language
- en
- Open access
- green
- research.utwente.nl
- Licence
- other-oa
- Locations
- Journal of Educational Psychology (publishedVersion)
- University of Twente Research Information (publishedVersion, other-oa)
- University of Twente Research Information (submittedVersion, other-oa)
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Visual and Cognitive Learning Processes
- Social Sciences › Psychology › Developmental and Educational Psychology › Innovative Teaching and Learning Methods
- Physical Sciences › Computer Science › Artificial Intelligence › Intelligent Tutoring Systems and Adaptive Learning
- Keywords
- worked examples, transfer of learning, cognitive load, computer-based training, practice questions, cognitive effort, training performance
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