Technological Inroads in e- Learning : A Theoretical Standpoint
The objective of adoption of
technology in learning is to create an attractive as well a meaningful
Individual learning experience. Where-ever a critical mass of learners are
involved, technology in learning enables high degree customization of learning
based on learning objectives and learners profile i.e. preferences and styles.
Very often e - learning technology is
not backed by an adequate level of e- learning support, as has been seen in
various organization- wide surveys.
Therefore, e-learning technology
needs to revolve around creation of e- learning community of learners
integrated through social media and social collaboration platforms.
As per Blooms Taxonomy, the younger learners in the workforce may have a
quest for knowledge based learning at initial stages of their career, therefore
the level and depth of learning is likely to be more cognitive. The younger
workforce are unlikely to ask the “Why Questions” as there is no definite time
frame for application of the learning. In contrast the older learners in the
workforce would appreciate real world scenarios and examples for immediate
application of the learning. They would need to have a compelling reason on
“why” the learning must be undertaken. Their interest, involvement and
participation can grow if continuous feedback is taken from them on their
Individual learning experiences through surveys and personal interactions.
Trial and error and opportunities to fail in projects and assignment post the
e- learning can re-enforce the learning provided.
As per Malcolm Knowles, adult learners prefer to absorb rather than
memorize and prefer learning by doing. In contrast younger learners store
information for long term memory through repetition and experiences.
This requires a deep understanding of
learning demographics. Further it would call for understanding who is an “Adult
Learner” in the context of application of Technology in Learning. The yardstick of classification of Workforce
demographics need not be the same for categorization of Learner demographics.
Further does the understanding of who is an “adult learning” vary in Corporates
vis a vis Educational sector.
In a recent in – company survey by a
large manufacturing organization, it was found that the usage of e- learning
was higher amongst the older employees than the newer ones. Also the uptake of
e- learning modules is Independent of level / position in the Organizational
hierarchy. In fact, the senior leadership visited the e- learning courses more
often than the middle and junior levels.
It may be interesting to explore the
occurrence of the phenomena from a Learning theory perspective.
Like Bloom, Merrill propounded the Component Design Theory based on
Instructional Design strategies residing in the cognitive domain. In order to
enhance the learners experience, Merrill indicates two domains namely Content
and Performance. The program content may be either fact, concepts, procedures
or principles related. The contents could be either Expository or Inquisitory.
Generally contents relating to rules and
examples are expository and recall and Practices related are Inquisitory. In
order to enhance performance through remembrance, usage or Find, different
memory structures come into play. For
Learners requiring remembrance, especially of Rules and Examples, we need
Algorithmic Learning ( schemas), whereas for Recall and Practices, we need
Associative Learning.
Conclusion : Application of
Technology needs to be based on Learning objectives, demographic profiles,
learner profiles that are well integrated with the aforesaid 3 theories of
Bloom, Knowles and Merrill.
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