Training Industry Magazine - September/October 2021 - 40

THE
OF
AND
F
or the majority of human history,
to learn a trade, an apprentice
worked side-by-side with an
employer, learning directly from
him (or her) and then practicing the craft
until they perfected it. Employers didn't
just give the apprentice a multiplechoice
test to evaluate their readiness.
Rather, they watched how an apprentice
behaved and performed, and then
provided feedback - ensuring the
apprentice learned the necessary skills
and could confidently apply them.
WHY ONE-TO-ONE
LEARNING?
The days of the traditional apprenticeship
are long gone. But, as study after study
has shown, this level of personalization
and one-to-one interaction is hard to
beat when it comes to its efficacy and
efficiency. Additionally, studies also
show that one-to-one learning promotes
greater learning, increased motivation,
| 40
and
also
enhances persistence,
retention and degree attainment.
Why is it so effective? One reason is that
in the one-to-one scenario, the coach isn't
just paying attention to what a learner
knows. They are also observing and
adjusting based on learner behavior. For
example, a coach is gaining actionable
insights by evaluating what a learner
does when they haven't mastered a
skill: Do they go back and source the
skill? Do they attempt to problem solve?
Do they lose confidence? Based on a
learner's behavior, the coach can offer
individualized remediation and practical
recommendations for improvement.
They can also optimize the level of
difficulty of the learning, making for
a much more effective and efficient
learning experience.
Historically, one-to-one learning
hasn't been widely adopted because
it's not scalable and often not
logistically possible.
However, we have entered a new era of
possibilities. Through a combination of
learning science, artificial intelligence
and machine learning, UI/UX, and data
analytics, the most advanced digital
learning platforms are leveraging new
insights - derived from behavior and
knowledge mapping - to emulate
the personalized, one-to-one learning
experience at scale. And in doing so,
they are tapping into the other 50
percent of the learning equation.
WHAT IS BEHAVIOR AND
KNOWLEDGE MAPPING?
Behavior
and
knowledge
mapping
leverages machine learning algorithms
to monitor learner behavior (the
choices that they make within
a learning platform), along with
learning performance, to dynamically
adjust content, hints, feedback,
recommendations and " nudges. "
Through behavior and knowledge

https://pdfs.semanticscholar.org/9f50/9187935d4084958f7e17e61c07cf6d76e75e.pdf https://pdfs.semanticscholar.org/9f50/9187935d4084958f7e17e61c07cf6d76e75e.pdf https://www.trainingindustry.com/glossary/artificial-intelligence/ https://eric.ed.gov/?id=EJ359342 https://www.jstor.org/stable/1476287?seq=1#page_scan_tab_contents

Training Industry Magazine - September/October 2021

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