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Adult Cognition Lab
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Georgia Institute of Technology
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Utilization of Monitoring
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Papers:
Dunlosky, J., Cavallini, E., Roth, H., McGuire, C. L., Vecchi,
T., & Hertzog C. (2007). Do self-monitoring interventions improve
older adult learning? Journals of Gerontology Series
B-Psychological Sciences and Social Sciences, 62, 70-76.
 Abstract

We describe a self-monitoring approach for improving older adult learning that
older adults can use in conjunction with more traditional
mnemonic-based interventions. According to the self-monitoring
approach, older adults can improve the effectiveness of learning by
accurately monitoring their progress toward a learning goal and by
using the output from such monitoring to allocate study time and to
inform strategy selection. We review current evidence, which
includes outcomes from two previously unpublished interventions,
relevant to the efficacy of this approach. Both interventions
demonstrated performance gains in memory performance after
self-monitoring training, although these training gains did not
exceed gains obtained through standard mnemonic training. Our
discussion highlights both successes and failures of self-monitoring
to enhance learning as well as challenges for future research.
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Dunlosky, J., Hertzog, C., Kennedy, M., & Thiede,
K. (2005). The Self-Monitoring Approach for Effective Learning.
Cognitive Technology.
 Abstract

People often seek techniques that can enhance their learning and
retention of important materials. Whereas popular techniques focus
on how to increase the effectiveness of memorization by using mnemonics,
the self-monitoring approach attempts to enhance people’s learning
vis-ŕ-vis the use of accurate monitoring to regulate study. As such,
this approach may complement existing mnemonic techniques by helping
students to identify which materials have not been well learned and
hence require further study. The promise of this self-monitoring approach
is illustrated by evidence from three independent lines of research, which
demonstrate that the use of accurate monitoring can improve learning for
individuals with varying abilities and across different kinds of material.
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Dunlosky, J. T., Kubat-Silman, A. K. & Hertzog, C.
(2003). Training monitoring skills
improves older adults' self-paced associative learning. Psychology
and Aging, 18, 340-345.

Abstract

We investigated a memory-enhancement program that involved teaching older adults to
regulate study through self testing. A regulation group was taught standard strategies along with
self-testing techniques for identifying less-well learned items that could benefit from extra study. This
group was compared to a strategy-control group that were taught only strategies and to a
waiting-list control group. Greater training gains were shown for the regulation group
(effect size, d = .72) than for the strategy-control (d = .28) and waiting-list control
(d = .03) groups, indicating that training a
monitoring skill--self testing--can improve older adults’
learning.
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Dunlosky, J. T., & Hertzog, C. (1998). Training programs to improve learning in
later adulthood: Helping older adults educate themselves. In D. J. Hacker, J. Dunlosky, &
A. C. Graesser (Eds.), Metacognition in educational theory and practice (pp. 249-275).
Mahwah, NJ: Lawrence Erlbaum Associates.

Abstract

We review findings in the literature regarding aging and metacognitive
monitoring, strategy use, and learning. The central thesis is that aging does not impair the
ability to monitor ongoing learning, even though it has an adverse impact on learning itself.
Given that older adults are able to monitor their learning, the argument developed in this chapter
is that they can potentially benefit from the strategic use of monitoring to control or regulate
their learning. This involves the use of self-testing as a metacognitively oriented strategy --
actually testing one's learning and then adjusting learning strategies based on the self-testing.
Existing training programs for older adults have focused almost exclusively on strategy training,
with or without cognitive restructuring of dysfunctional beliefs about the nature of aging and its
effects on memory. We argue that existing training programs should be expanded to included metacognitive
training, so that older adults are encouraged to monitor the effectiveness of strategies by self-testing,
and to then adapt their strategic behavior (for example, by allocating more time and effort to study the
information they have not yet mastered).
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Dunlosky, J., & Hertzog, C. (1997). Older and younger adults use a functionally
identical algorithm to select items for restudy during multi-trial learning. Journal
of Gerontology: Psychological Sciences, 52, 178-186.

Abstract

We investigated whether aging affects several components of how people select
items for study during multitrial learning. Younger and older adults studied paired-associate
items and then made delayed judgments of learning (JOLs). Immediately after making a JOL for an
item, some participants decided whether to restudy the item on subsequent trials; for other participants,
the computer selected for restudy the items that had been judged as least-well learned. Next, paired-associate
recall occurred, which was followed by restudy-test trials. As expected, age differences occurred in recall
on the first trial, and this difference was propagated across trials. In contrast to the hypothesis that older
adults would be more conservative in selecting items, both age groups selected to restudy (a) the items that
they had rated as least-well learned and (b) the majority of items that would not be recalled on the first
trial. Comparisons between participants who self-selected items vs the groups in which the computer controlled
selection also converged on the conclusion of age equivalence in processes underlying item selection.
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