Embellishing Problem-Solving Examples with Deep Structure Information Facilitates Transfer

Hee Seung Lee, Shawn Betts, John R. Anderson

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

Appreciation of problem structure is critical to successful learning. Two experiments investigated effective ways of communicating problem structure in a computer-based learning environment and tested whether verbal instruction is necessary to specify solution steps, when deep structure is already embellished by instructional examples. Participants learned to solve algebra-like problems and then solved transfer problems that required adjustment of learned procedures. Experiment 1 demonstrated that verbal instruction helped learning by reducing learners' floundering, but its positive effect disappeared in the transfer. More importantly, students transferred better when they studied with examples that emphasized problem structure rather than solution procedure. Experiment 2 showed that verbal instruction was not necessarily more effective than nonverbal scaffolding to convey problem structure. Final understanding was determined by transparency of problem structure regardless of presence of verbal instruction. However, verbal instruction had a positive impact on learners by having them persist through the task, and optimal instructional choices were likely to differ depending on populations of learners.

Original languageEnglish
Pages (from-to)309-333
Number of pages25
JournalJournal of Experimental Education
Volume85
Issue number2
DOIs
Publication statusPublished - 2017 Apr 3

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Learning
instruction
Social Adjustment
experiment
Students
Population
Transfer (Psychology)
learning
transparency
learning environment
student

All Science Journal Classification (ASJC) codes

  • Education
  • Developmental and Educational Psychology

Cite this

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Embellishing Problem-Solving Examples with Deep Structure Information Facilitates Transfer. / Lee, Hee Seung; Betts, Shawn; Anderson, John R.

In: Journal of Experimental Education, Vol. 85, No. 2, 03.04.2017, p. 309-333.

Research output: Contribution to journalArticle

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