  Current changes in society and the education system, cumulated with the
accelerated development of new technologies, entail inherent changes in the
educational process. Numerous studies have shown that the pandemic has forced a
rapid transformation of higher education. Thus, if before the pandemic digital
technologies were used to supplement the learning process, now they are the
main means of learning delivery. In addition, as previous research has shown,
new pedagogical strategies and new ways of teaching and learning are needed for
the current generation of students, the so-called Generation Z, to acquire new
knowledge and develop new skills. In this necessary evolution of the
educational process, a possible solution to increase the effectiveness of the
learning process for the Generation Z students is to use microlearning to
extend the traditional ways of learning. Many studies have shown that
microlearning, based on how today's students learn and memorize, facilitates
learning. In recent years there has been a growing trend in their use of
microlearning in the educational process. But, in order to be effective, this
approach must allow the individual knowledge building, by indicating a guiding
direction of the optimal path to achieve the proposed objectives. We propose a
system for personalized learning using microlearning, which provides support
and guidance to students based on their individual needs, in order to increase
their interest in learning, but also to compensate for various deficiencies in
their educational background. We also present a case study from the higher
education sector. Feedback from students and data collected during the semester
as a result of the students' behavioural analysis and their real learning
motivations will be used to improve the proposed system.
