Full time researcher at Dept. Of Education - University Roma TRE
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Francesco Agrusti PhD is a Full-time Researcher in the Laboratory of Experimental Pedagogy of Department of Education, University of Roma Tre. Since March 2006, he works as a contract researcher in different project. His last research activities were conducted in the project “Designing, developing and testing of adaptive assessment systems for open-ended questions”. He coordinates the project research for the use of innovative ICT solutions to achieve adaptation and personalization of learning (Roma Tre Research Unit).
He teaches “Research in education. Models and procedures in adult education” (6 ECTS – 36 hrs face-to-face lessons), “Laboratory for Adults Literacy Skills Assessment” (3 ECTS – 18 hrs face-to-face lessons) and “Laboratory of Creative Writing in Education” (3 ECTS – 18 hrs face-to-face lessons) at the Faculty of Education Sciences or Roma Tre University.
In 2006, he assured a technical and statistical consultancy within the EU funded Leonardo Project - Education and Culture, “The Impact of New Technologies on Distance Learning Students”, (http://www.ericsson.com/impact). This involves the development of online questionnaires on the impact of new technologies in e-learning and distance education and the management of data entry and
statistical analysis of the outcomes. For further references, Dr Desmond Keegan, Dei Ericsson – Ireland (email@example.com).
In 2007 he gained the master degree in Software Engineering with the final mark of 109 out 110 at the University of Rome “Tor Vergata” with thesis entitled “Measurement tools for Open Source software embedded in software IDE”, supervisor Prof. S. Tucci and assistant supervisor Dott. G. Pesce.
Since 2008 he is licensed to practice as a professional engineer (Software Engineering).
Since 2012 he is member of AEA (Association for Educational Assessment) Europe, and since 2010 he is member of EDEN NAP (Network of Academics and Professional).
In 2012 he gained the PhD in Educational Design at the University of Rome “Roma Tre” with thesis entitled “Italian Assessment data since 1971: an inferential longitudinal database. (PhD Thesis)”, supervisor Prof. B. Vertecchi and assistant supervisor Prof. Y. Jeanneret from University of Paris Sorbonne.
Since 2012 he worked as tutor and teacher in different online and face-to-face higher education courses (“Master for Standards in Museum Education”, teacher professional courses, first level Master of Educational Assessment).
In 2013, he worked as young researcher in the three years National funded project FIRB “amLearning (adaptive message learning)
Individualizzazione del messaggio di apprendimento in ambiente adattivo” (MIUR) managed by Professor Benedetto Vertecchi from
University of Rome “Roma Tre”.
Since 2013 he is licensed to practice as a associate professor in the Experimental Pedagogy sector (11/D2).
In 2014, he was a contract researcher in the two years EU funded project “LIBE: Supporting Lifelong learning with Inquiry-Based
Education”. The project aims at designing, developing and try out, in 3 different countries in Europe (Italy, Portugal, Norway), an
innovative e-learning management system devoted to develop key information processing skills for ICT (literacy, numeracy and
problem solving), with an inquiry-based approach to learning. He also currently takes care of design and management of several
For the academic year 2015/2016 he worked as contract professor for the course “Research in education. Models and procedures in
adult education” (12 ECTS) – 36 hrs face-to-face lessons. Department of Education, University of Roma Tre.
Since 2008 he is an honorary fellow for the course of “Experimental Pedagogy” and since 2014 he is honorary fellow for the courses
of “Docimology” and “Methods and Techniques of Educational Writing” at the University of Roma Tre.
His main interests automatic and adaptive system for education, e-learning, latent semantic analysis, statistical analysis of
educational big data and open data. He designs and develops automatic systems for text tagging, Machine Learning, Ontology
Learning, Self-Training and Domain Adaptation for educational purposes (in particular for distance learning environments).