id: 06603141
dt: j
an: 2016e.00402
au: Hancock-Niemic, Mary A.; Lin, Lijia; Atkinson, Robert K.; Renkl, Alexander;
Wittwer, Joerg
ti: Example-based learning: exploring the use of matrices and problem
variability.
so: Educ. Technol. Res. Dev. 64, No. 1, 115-136 (2016).
py: 2016
pu: Springer US, New York, NY; Association for Educational Communications and
Technology (AECT), Bloomington, IN
la: EN
cc: D45 U75 U55 K55
ut: worked example; matrix; problem structure; fading example; example-based
instruction
ci:
li: doi:10.1007/s11423-015-9403-8
ab: Summary: The purpose of the study was to investigate the efficacy of using
faded worked examples presented in matrices with problem structure
variability to enhance learnersâ€™ ability to recognize the underlying
structure of the problems. Specifically, this study compared the
effects of matrix-format versus linear-format faded worked examples
combined with equivalent problem structure versus contrast problem
structure on learning. A total of 113 undergraduate students recruited
from campus were randomly assigned to one of the four experimental
conditions formed by a $2\times 2$ factorial design. The results
revealed three significant interactions on accuracy of anticipations,
near transfer and medium transfer, suggesting that matrices foster
learning when they contain contrast-structure problems but not with
equivalent-structure problems.
rv: