When comparing learning competences between adults and
children, one can easily point out a few obvious facts. For example, one of the
differentiating factors are the physiological differences. Throughout human
development, individuals go through critical periods of learning and
development, they experience structural brain changes through brain maturation
and their cognitive process develops over time (Paus, 2005). Differences can be
clearly established among adults and children, however, can the same be said
among adults? Although adults already have a mature brain, they continue to
have changes in their brain structure through brain plasticity (Cajal, 1991,
Garland and Howard, 2009).
While reviewing recent literature on this subject, I
found that Adult Learning is usually examined through two categories (young
adulthood and mature adulthood); however, in a general sense, differences in
this population are rarely examined. Very often adult learning studies are
carried out with populations of university students who are in their early
adulthood, and the reported results tend to be generalized to the adult
population in general. Regardless of the fact that several differences have already been identified among the adult population, most studies extend the reach of the
results to the general adult population, even though there is a small amount of
age variance in most research sampling among the adult population.
Even though changes in learning and decreased memory
ability have been reported before (Zelinski & Stewart, 1998), in a recent
study carried out by Derksen and colleagues (2014) it was found that learning
and memory tasks among older adults were statistically indistinguishable from
those of younger adults. Derksen and colleagues (2014) examined if learning
through a collaborative social interaction assists older adults in overcoming
age-related learning changes. This study was done with a population of 68 adults,
which were divided in two groups of 34 each. These groups were to complete the
Barrier Task and a clinical neuropsychological measure on memory. The Barrier
Task consisted of a digital simulation where the participants use social
interaction to collaborate on developing labels for a set of abstract tangrams.
Participants performed the clinical neuropsychological measure on memory alone
given that it did not require social collaboration to be completed. The older
group performed inferior on both measures as expected by the researchers.
However, the older group performed equally as well as the younger group on the
Barrier Task over time. The results of this study suggest that collaborative
social interaction mediates the relationship between age and learning.
This study is relevant to this Series given that it
shows us that after some trials of performing learning and memory tasks, older
adults can learn more effectively in collaborative social interactive models of
learning. This study results interesting when contrasted with the other studies
presented in this Series. Especially when considering Bandura's (1977)
neo-behaviorism Social Learning Theory, which considers that learning in
children occurs by observing "models" in their environment, but
leaves out the important contributions of social interaction among peers.
Vygotsky's (1978) theory of the Zone of Proximal Development more closely
resembles the findings of the research discussed in this post, but it does not
create a perfect fit given that it is also framed within an hierarchy model
where there is a more capable peer that teaches, assists or guides an inferior
peer to achieve a higher level task than available without the assistance. In
this research, there were not any superior individuals among the older group;
it was the collaborative social interaction among peers of the same level that
augmented the learning and memory capabilities of the participants.
Bandura, A. (1977). Social Learning Theory. Englewood
Cliffs, NJ: Prentice Hall.
Cajal, S. R. (1991). Cajal's degeneration and
regeneration of the nervous system. History of Neuroscience.
Derksen, B. J., Duff, M. C., Weldon, K., Zhang, J.,
Zamba, K. D., Tranel, D., & Denburg, N. L. (2015). Older adults catch up to
younger adults on a learning and memory task that involves collaborative social
interaction. Memory, 23(4), 612-624.
Garland, E. L., & Howard, M. O. (2009).
Neuroplasticity, psychosocial genomics, and the biopsychosocial paradigm in the
21st century. Health & Social Work, 34(3), 191-199.
Paus, T. (2005). Mapping brain maturation and
cognitive development during adolescence. Trends in cognitive sciences, 9(2),
60-68.
Vygotsky, L. (1978). Interaction between learning and
development. Readings on the development of children, 23(3), 34-41.

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