Learning Analytics for monitoring and analyzing student’s careers at University
After a preliminary analysis on the concept of Leaning Analytics and its necessary interconnections
with Big Data and Business Intelligence in the academic field, the paper
presents the first steps of a pilot project at the University of Parma. The pilot project,
being tested, is aimed at using Learning Analytics in order to lead to informed and strategic
choices regarding: 1) an enhancement of guidance actions in itinere more calibrated
on the type of problematic and not distributed "in the rain" ; 2) the possible redesign of
the study plans of the CdS subject to analysis and the planning of possible preparatory
courses between courses; 3) the early identification of “complex / problematic” courses)
the design of specific teacher training seminars on teaching and docimological skills,
starting from real data on student careers and contextualised by disciplinary sectors.
The contribution is given as an example the “screens” of a DEMO that is under construction
and experimentation at the CdS of Informatica UNIPR and which is considered as
an example for the impact in terms of usability of the information for different types of
stakeholders. The work ends by emphasizing the possible effects of pedagogical research
on LA, in the view of consolidation of the self-assessment and improvement
processes of Italian universities.
The authors who publish in this magazine accept the following conditions:
- The authors retain the rights to their work and give the magazine the right to first publish the work, simultaneously licensed under a Creative Commons License - Attribution which allows others to share the work indicating the intellectual authorship and the first publication in this magazine.
- Authors may adhere to other non-exclusive license agreements for the distribution of the version of the published work (eg deposit it in an institutional archive or publish it in a monograph), provided that the first publication took place in this magazine.
- Authors can disseminate their work online (eg in institutional repositories or on their website) before and during the submission process, as it can lead to productive exchanges and increase citations of the published work (See The Effect of Open Access).