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)
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Yulök Revista de Innovación Académica, ISSN 2215-5147, Vol. 5, N.º 2
Junio- diciembre 2021, pp. 39-50
Bula, O. Adult learning: Salient Conditions and Non-traditional Approaches.
In a way or another, societies are immersed in the telling
and hearing of all kinds of stories: movies, news, social
media, formal and informal settings. Closely related to
Indigenosity (and to spirituality if we see that a tenet of
spirituality is interconnectedness) is the construct of na-
rrative learning. This narrative perspective offers both,
a methodology to promote learning and a framework to
classify the learning process. Human beings and socie-
ties, in general, find themselves constantly resorting to
storytelling as an effective way to convey meaning and
perpetuate their existence in time. Life itself is a cons-
truction of a social and personal metanarrative where me-
aning is essential to the learning process. On this matter,
Clark and Rossiter (2008) have mentioned that “in narra-
tive learning theory, we argue that there is an even closer
connection between learners and experience” (p. 64). In
essence, narrative learning draws on constructivism and
experiential theories (Clark & Rossiter, 2008).
Next, learning through storytelling is a multilayered
three-step method: stories that one hears, stories that are
told, and recognition of these stories (Clark & Rossiter,
2008). I certainly agree with this idea suggesting that it
is through the narration of a story, the meaning attached
to it, and the links to previous knowledge that learning
is constructed via significant experiences. Finally, Clark
and Rossiter provide specific practices of narrative lear-
ning: learning journals, autobiographical writing, and
case studies (Clark & Rossiter, 2008). Here other cons-
tructs must be included so as to strengthen narrative lear-
ning: storytelling, critical writing, and reflective verba-
lization. To conclude, Merriam et al., (2007) established
that “narratives are also windows into development and
transformational learning. They enable us to make sen-
se of our experience, which is what adult learning is all
about” (p. 215). In this statement, a new element is con-
sidered. Mezirow’s framework of transformation theory,
which essentially assumes a constructivist orientation,
provides spaces for reflection so as to transform meaning
structures. Finally, Merriam et al., (2007) point out that
“stories can be used to understand content, ourselves, and
the world in which we live” (p. 215). There is something
about good stories that lures people. It is within narrative
learning that all human beings can find similarities and
important degrees of universality.
“Cultural narratives or myths are those that define the so-
ciocultural milieu in which we live; they form the taken-
for-granted assumptions on which we live our lives in the
way that we do” (Merriam et al., 2007, p. 208). Raising
awareness and understanding the elements that define the
idiosyncrasy and identity of a nation or a group constitu-
te a must for meaning-making processes. Such elements
are imbued with cultural narratives. On a personal note,
I cannot forget my great-grandfather’s invaluable stories
where elements of social justice, freedom, wellbeing, de-
mocracy and integrity were internalized.
Narrative learning is included in this paper as I have
always understood the world through powerful stories
and colorful narrations. Learning through orality has pro-
vided different ways of being, understanding, thinking
and learning (Clark & Rossiter, 2008). Storytelling and
stories represent vehicles for sociocultural awareness
and lifelong learning. In one way or another, all human
beings relate to stories that convey reflection, analysis,
learning and growth possibilities, meaning, knowledge
and idiosyncrasy. Likewise, a strong reason comes from
the fact that narrative learning draws on tenets of cons-
tructivism and has links to transformational learning.
To support this idea, Merriam et al., (2007) observed that
“narrative learning is the use of stories in the construction
of meaning, whether the meaning-making has to do with
the self, with the content of instruction, or with the world
around us” (p. 216). Furthermore, Merriam et al., (2007)
established a connection between constructivism and
transformational learning when they stated that “aspects
of constructivism can be found in self-directed learning,
transformational learning, experiential learning, situated
cognition, and reflective practice” (p. 297). Finally, a sig-
nificant reason relates to my research interests. I believe
that narratives provide genuine opportunities to engage in
meta states of consciousness and awareness to fully un-
derstand the idiosyncrasy of nations and societal groups.
“A careful analysis of the teacher-student relationship at
any level, inside or outside the school, reveals its funda-
mentally narrative character” (Freire, 2018, p. 71).
Spiritual learning. For our very first vacation in Costa
Rica (we come from Panama), my mother decided we
were to visit a representative place of the country. Be-
cause of its beauty, unique waves, and majestic views,
Jaco is considered one of the most beautiful beaches in
Costa Rica. My cousin and new best friend decided to go
for a swim – there we were having fun, enjoying nature,
bonding, and swimming. Suddenly and to my horror, my
cousin was beginning to drown. I can still remember that
day. It was a sunny Tuesday and the beach was absolutely
empty – we were literally by ourselves in that little piece
of paradise. Desperate and not knowing what to do or how