Task Practice Sequence in Computer Based Instruction - Nelson, David W.
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Revision with unchanged content. Can the sequence of practice tasks affect the transfer of complex cognitive skills? Researchers have sifted through findings of instructional and cognitive science to find the most effective practice strategies by which to design practice tasks. Such strategies would enable learners to abstract principles, build schemata, and transfer their cognitive structures to improve performance of their skills in further learning or in the workplace. One such practice strategy, the random sequence of practice tasks high contextual interference has been applied in…mehr

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Produktbeschreibung
Revision with unchanged content. Can the sequence of practice tasks affect the transfer of complex cognitive skills? Researchers have sifted through findings of instructional and cognitive science to find the most effective practice strategies by which to design practice tasks. Such strategies would enable learners to abstract principles, build schemata, and transfer their cognitive structures to improve performance of their skills in further learning or in the workplace. One such practice strategy, the random sequence of practice tasks high contextual interference has been applied in computer-based instruction. Although block sequence of practice practicing parts of skill in contiguous sets results in quicker and easier skill acquisition, random sequence of practice mixing skill parts in practice sessions results in superior transfer to unpracticed variants of a skill. This contextual interference effect has been found quite consistently in motor skills. How can this transfer paradox, as it has been called, be most effectively applied with complex cognitive skills? Curriculum planners, instructional designers, and researchers will find design and research suggestions that might help guide their work.
Autorenporträt
David W. Nelson, Ph.D., Instructional Systems at Florida State University. Instructional Systems Designer at the Learning Systems Institute, Florida State University.