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Optimizing the number of steps in learning tasks for complex skills

Bibliographic Data

ID5263668
AuthorsRob J Nadolski, Rob Nadolski (0000-0002-6585-0888, Open University of the Netherlands, corresponding author), Paul A Kirschner (0000-0002-8743-0462, Open University of the Netherlands), Jeroen J G Van Merriënboer (0000-0002-5868-7031, Open University of the Netherlands)
Year2005
Volume75
Issue2
Pages223-237
Publication date2005-06-01
Open AccessYes
TypeARTICLE
VenueBritish Journal of Educational Psychology (JOURNAL)
Journal identifiersISSN: 0007-0998 • E-ISSN: 2044-8279
PublisherWiley (PUBLISHER • GB)
DOI10.1348/000709904x22403
PMID16033664
OpenAlexW2109816554
LanguageEN
Citations received6
References cited15

Background. Carrying out whole tasks is often too difficult for novice learners attempting to acquire complex skills. The common solution is to split up the tasks into a number of smaller steps. The number of steps must be optimized for efficient and effective learning.Aim. The aim of the study is to investigate the relation between the number of steps provided to learners and the quality of their learning of complex skills. It is hypothesized that students receiving an optimized number of steps will learn better than those receiving either the whole task in only one step or those receiving a large number of steps.Sample. Participants were 35 sophomore law students studying at Dutch universities, mean age = 22.8 years (SD=3.5), 63% were female.Method. Participants were randomly assigned to 1 of 3 computer-delivered versions of a multimedia programme on how to prepare and carry out a law plea. The versions differed only in the number of learning steps provided. Videotaped plea-performance results were determined, various related learning measures were acquired and all computer actions were logged and analyzed.Results. Participants exposed to an intermediate (i.e. optimized) number of steps outperformed all others on the compulsory learning task. No differences in performance on a transfer task were found. A high number of steps proved to be less efficient for carrying out the learning task.Conclusions. An intermediate number of steps is the most effective, proving that the number of steps can be optimized for improving learning

Cognitive psychology · Mathematics education · Plea · Quality (philosophy) · Sample (material) · Task (project management) · Transfer of learning · Artificial Intelligence · Computer Science · Innovative Teaching and Learning Methods · Problem and Project Based Learning · Psychology · Visual and Cognitive Learning Processes

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Citations per year0.29
Citation span2005 - 2025 (21)
Highly citedNo

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