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maritime industries so that they are able to function
effectively and to ensure safety and security both on
land and at seas.
Educational institutions have to be ready to
respond to recent changes and present effective
solutions for the development of a future
professionals with respective knowledge and practical
skills enabling them to meet volatile labour market
needs, with emphasis placed on the possibility of their
quick adaptation to the rapid technological, digital,
social, and other changes. One of the solutions aiming
to meet future challenges was taken by the LMA when
it undertook educating and training professionals of
shipping and logistics information systems. Industry
4.0, a global strategic revolution of innovations and
technologies, influences the demand for such
specialists. This trend describes how new technologies
and machine-learning algorithms can be used in
different fields of national, regional, and worldwide
industries. The development of 5G and 6G
technologies influence the integration of the internet
of things’ technologies into shipping and logistic
processes and operations on land and at sees. The said
integration has changed technological, engineering,
economic, and management processes of the whole-
organization ecosystems because decision-making
becomes more dependent on the analysis and
manipulation of data from different unstructured
open source and private data sets. Automated
autonomous systems get rapidly integrated into the
global supply chains, which means that the increasing
data stream from sensorial systems creates the
demand for the contemporary competencies of
specialists working with automated systems in use
and the interpretation of special data engineering and
analysis algorithms as well as open-source accessible
tools for modelling optimised solutions in shipping
and logistics.
By way of answering to the questions: What kind
of specialists will be needed in the future? What
learning theory or approach can be suggested to solve
the above-mentioned problems? - the LMA undertook
preparing shipping and logistics information systems
specialists through an approach of integrative
learning and work integrated learning, thus enabling
the educational environment to serve the purpose of
developing proper competencies as a foundation for
preparing the type of “individuals best suited to
thrive along the edge of chaos” [7].
2 FUTURE PROFESSIONALS
There is no doubt that future professionals have to be
suited to adapt to the continually changing
environment. That means that to prepare students for
an unknown future is to help them to learn to deal
with uncertainties, take risks, confront dilemmas,
embrace complexity, recognise the limitations of their
own knowledge, and maintain health and wellness.
Although educators cannot reduce the uncertainty
about the future, they can help students develop the
tools to learn how to adapt and live in uncertain times
[2, 4]. Learning for an unknown future means making
decisions in situ, without all of the information at
hand [2]. It is difficult to foresee what kinds of skills
and competences will be needed in the future. Reich
[14] predicts that technical and behavioural
competences will be needed, Levy and Murnane [13]
highlight the need for higher-order cognitive skills
and interpersonal competences, while Mindell [14]
points out that the entire nature of the workers’
population able to operate all types of systems will be
changed. Gardner [7] identifies the consequences of
the development of technologies on employment:
− unemployment of people who lost their jobs can
last for an undetermined period of time,
depending on how quickly new jobs will be
developed; to illustrate this, the example of
replacement of taxi drivers by Uber can be
provided;
− creation of new jobs is an unpredictable process
because of two factors: time (the timing of job
destruction does not match the timing of job
creation) and location (new jobs can be created in a
different location from the dismantled job);
− some professions will disappear due to
technological development, especially the
professions related to the performance of routine
and operational tasks which can be done
automatically.
As mentioned in the WMU Report (2019)
Transport 2040: Automation, Technology and
Employment – The Future of Work [21], workforce in
shipping will need training and reskilling. Special
attention should be paid to the digital skills, their
combination with the maritime skills, and the
understanding of port operations. The tasks of
maritime professionals are anticipated to increasingly
transform into digital ones, especially in operation
monitoring and system management, and to reduce
operational work. Digital skills can be divided into
three domains: 1) data fluency and the ability to
interpret and analyse large amounts of data; 2) digital
operation of equipment, such as ships, cranes, and
winches; and 3) software engineering of fundamental
programmes and systems. Education and training will
have to be adapted in order to equip seafarers with
the new skills required [21]. In major areas of port
operations, in the context of automation, digital skills
can be categorised as applied to the functioning of: the
terminal operation, including the waterway ship
scheduling service; the foreland transport service,
including railway and road transport service
connected to the port; the hinterland transport service,
including railway and road transport service
connected to the port; and warehouses related to the
port [21].
According to the Future of Jobs report [20], the
changes in the demand for, and composition of, skills
indicate a shift toward “soft” skills (see Fig. 1). It can
be anticipated that proper education and training of
“human/soft” skills will have to be provided to all
kinds of specialists, including engineers, managers,
and professionals of information technologies.
Emphasising the introduction of transferable/generic
competences into study programmes can develop
“Soft” skills. Transferable/generic competences are
important in the context of lifelong learning,
regardless of the field of studies. They can be divided
into three main groups [16]:
− instrumental competences (competences that
function as means or tools for obtaining a given