Tor Vergata among the top 50 in U-Multirank 's teaching and learning |
The date from the survey on the European Academy teaching (which also includes data on American, Russian and Japanese universities) is contained in the second ranking just published by U-Multirank - the independent consortium wanted and funded by the EU Commission. Under the lens over 1300 universities (44 Italian) from 90 countries around the world. Trento stands out among all the universities, not only Italian, for the quality of its teachers and learning of the students. But the good performances achieved among other universities of our country also include Bologna, Padua, Politecnico di Milano and University of Rome Tor Vergata. The new ranking "teaching and learning" examines the Masters in 12 areas - biology, chemistry, computer science, electronic engineering, history, mathematics, mechanical engineering, medicine, psychology, pedagogy and social, sociology - and based on eight indicators: Students graduated on schedule; quality of teachers (based on the presence of PhDs); placement (internships, field experiences, etc.). overall judgment of the students (based on questionnaires); quality of courses and teaching (always based on student surveys); availability of laboratories; international orientation of the master; opportunity to study abroad.
Tor Vergata in the Top 50 |
What is U-Multirank |
U-Multirank is an independent ranking prepared with seed funding from the European Commission’s Erasmus+ programme, a new multidimensional, user-driven approach to international ranking of higher education institutions. It compares the performances of higher education institutions – in short: universities – in the five broad dimensions of university activity: (1) teaching and learning, (2) research, (3) knowledge transfer, (4) international orientation and (5) regional engagement. The U-Multirank web tool enables comparisons at the level of the university as a whole and at the level of specific fields of study. Based on empirical data U-Multirank compares institutions with similar institutional profiles (‘like-with-like’) and allows users to develop their own personalised rankings by selecting indicators in terms of their own preferences. |