ESCP ALUMNI magazine - Special Issue 2022 - 67

Campus ❙ Opinion piece
gain insights into which training programs
should be assigned to specific employees
to improve their effectiveness at work. The
data analysis should highlight the areas in
which employees need to improve, and the
artificial intelligence system can recommend
suitable courses to fill these knowledge or
practice gaps. An analysis of training data
reveals what types of training material
should be assigned to employees based on
their learning styles. It can also help to compare
employees to each other with assessments
and provide an appropriate level of
difficulty in training materials to challenge
the learner. Any gaps discovered in training
can be assessed and training programs
redesigned. The collection and analysis of
employee data needs to be continuous, so
that systems stay up to date with current
trends.
On the side of Higher Education institutions,
using lifelong adaptive learning presents
several opportunities. First, the use of
artificial intelligence for learning identifies
proficiency gaps across disciplines by using
a question-based approach (or situational
questions, depending on the competency
to be assessed) to understand what learners
know and where the gaps are. Second,
it offers tailor-made training by providing
focused attention to every individual learner.
It also offers personalized feedback to
learners by leveraging the algorithms and
data it receives from the learner in the form
of assignments and responses and adapts
the content accordingly. Third, a lifelong
adaptive learning system accommodates
different learning styles: unlike one-sizefits-all
courses that might intimidate some
groups of learners, this approach is suitable
for all types of them, regardless of whether
they are at the beginning, intermediate or
advanced level of knowledge of concepts.
A well-designed learning system learns how
participants learn and focuses on delivering
learning materials that are tailored to their
learning styles. Lastly, a lifelong adaptive
learning system is updated when information
changes - one of the crucial challenges
in designing learning content is providing
the most up-to-date material, and it keeps
track of what a participant has learned.
When a teacher introduces changes to the
course, the system can differentiate between
material that a learner has already covered
and new areas to master. This helps learners
get up to speed without having to quickly
recheck all content.
But of course, lifelong adaptive learning
brings its own set of challenges. First, developing
this pedagogical solution is not only
a matter of investment but also one of skills.
Higher Education institutions need to find
the right team of managers, teachers, and
developers who can handle these projects
efficiently. And secondly, it is important to
clearly design the data analysis process,
graphs, patterns, and information available
to teachers and learners, so that they can
design the right content depending on
current trends and on each lifelong learner
performance.
In our rapidly changing world, Higher
Education institutions development
teams have to be proactive and strive for
real pedagogical innovation. They have to
ensure that the most relevant training tools
and knowledge resources are available to
their employees when they are available
to learn. The learning technology landscape
is changing extremely fast. Higher
Education institutions must keep abreast
of the latest trends, whether in artificial
intelligence, virtual reality or blockchain, to
remain relevant. A key part of up-skilling
and re-skilling is using machine learning
to provide learners and employees with the
most relevant content when they need it.
Lifelong adaptive learning will transform
how learning content is delivered, leading
to greater alignment with business values. ❙
In our rapidly
changing world,
Higher Education
institutions
development
teams have to
be proactive
and strive for
real pedagogical
innovation.
ESCP Alumni Magazine Special issue ❙ 2022
❙ 67
ESCP ALUMNI magazine - Special Issue 2022

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