The digital that invests in education. An inductive research on new digital educational models

Danna Edvige


Digital today is present in every context and has increased its opportunities for use and at the same
time the risks of speculation and unethical uses.
This research work will deal with educational actions in the digital age with the aim of analyzing three
virtuous cases that have worked in the educational field, highlighting the potential and possible critical
issues in order to transfer know-how for future projects.
The analysis methodology used is of a qualitative nature through a mix of data collection tools, first of
all a participating observation made in the first case study. Then you will apply a content analysis for
the second observed case and finally you will conduct an interview with the organizer of the last
examined educational project. Therefore, based on the Grounded Theory we will start from an
empirical analysis of the data to arrive at conclusions and theories in view of the implementation of
these particular models in other areas.
Starting from the reflections of sociologists Franco Ferrarotti and Vanni Codeluppi, who frame the
problem related to education above all by observing the digital context and the changes it brings, we
will analyze empirically some virtuous models that use digital not only as a technological support, but
as an ontological concept on which to base their innovative educational offerings.
Specifically, we will observe the hybrid teaching methods used at the Talent Garden Innovation School,
which offers digital professional teachers experts in the labor market.
The second case analyses the innovative Treccani Scuola platform: a perfect example of a combination
of innovation and tradition.
Finally, the project Ma.L.L. Mo at the Heracle UniCusano Lab, a project that studies predictive models
of learning motivation through algorithms of machine learning (AI), will be analyzed.
Lastly a particular focus on the Ma.L.L. Mo at the Heracle UniCusano Lab a project that studies
predictive models of learning motivation through machine learning algorithms (AI) and finally in the
international context it will observe the Mit open courses and the TED platform that that distribute
knowledge at high levels for free.
The hope of this analysis is to be able to take interesting ideas to strengthen research in the field of
digital education and put the ethical question of technological instrumentation at the center.


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