DEPARTMENT OF EDUCATIONAL POLICY INTERNATIONAL RELATIONS OFFICE MEASURING INTERNATIONALISATION SGroup Liaison Officers Meeting 2017
WHAT TO MEASURE: FACTS & FIGURES? 3
WHAT DO WE WANT TO MEASURE? Facts & figures How many exchange students Cooperation with a specific country 4
OUTGOING EXCHANGE STUDENTS 1600 1400 1200 1000 800 600 400 IAESTE Erasmus+ credit mobility outside Europe Asem Duo Transition Fellowship Programme Swiss-European Mobility Programme Individual Contacts between Professors VLIR-UOS Erasmus Mundus Joint Projects (action 2) Generieke beurzen Erasmus Belgica Own resources Erasmus Mundus Joint Master (action 1) Other Scholarship Ghent University bilateral agreement Erasmus 200 0 88-89 07-08 08-09 09-10 10-11 11-12 12-13 13-14 14-15 15-16 16-17 5
INCOMING EXCHANGE STUDENTS 1600 1400 1200 1000 800 600 Swiss-European Mobility Programme Erasmus+ credit mobility outside Europe Asem Duo Science without borders Scholarship from home institution Own resources IAESTE Other Scholarship Ghent University bilateral agreement Erasmus Mundus Joint Projects (action 2) Erasmus Belgica Individual Contacts between Professors Erasmus 400 200 0 2007-2008 2008-2009 2009-2010 2010-2011 2011-2012 2012-2013 2013-2014 2014-2015 2015-2016 2016-2017 6
EXCHANGE BALANCE 600 500 400 300 200 Outgoing students Incoming students 100 0 7
MOBILE GRADUATES 8
INTERNATIONAL STUDENTS: COUNTRIES OF ORIGIN 9
COOPERATION WITH SPECIFIC COUNTRY 250 #exchange students 200 198 162 150 136 100 50 62 72 62 66 103 74 85 100 109 Incoming Outgoing 0 10-11 11-12 12-13 13-14 14-15 15-16 Faculty Totals Bachelor Master PhD Totals 157 6 20 111 Arts and Philosophy 48 3 2 22 Law 8 2 4 3 Sciences 21 1 4 16 Medicine and Health Sciences 12 1 2 9 Engineering and Architecture 36 3 33 Economics and Business Administration 3 1 2 Veterinary Medicine 9 6 Psychology and Educational Sciences 4 4 Bioscience Engineering 12 4 8 Pharmaceutical Sciences 3 3 Political and Social Sciences 5 5 Faculty Incoming Outgoing Totals 181 110 Arts and Philosophy 55 34 Bioscience Engineering 10 7 Economics and Business Administration 25 12 Engineering and Architecture 19 14 Law 8 9 Medicine and Health Sciences 13 17 Pharmaceutical Sciences 4 2 Political and Social Sciences 13 6 Psychology and Educational Sciences 19 7 Sciences 9 1 Veterinary Medicine 6 1 10
COOPERATION WITH SPECIFIC COUNTRY 11
WHAT TO MEASURE: QUALITY OF PARTNERSHIPS 12
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PROBLEM AREA The number of partners The decentralised context Academic freedom 1.200 mobile graduates = 36.000 credits abroad = 6.000 courses How do we assure quality of 6.000 courses offered at partner institutions? 14
OUTLINE OF AN ANSWER Structurally analyse our partners Use data that we (all) have available Share information with our partners Improve both sides of the cooperation PDCA 15
EUROPEAN PROJECT Assessing quality of partnerships amongst Higher Education Institutions Support institutions wanting to use equatic Data gathering and reusability Research on existing practices Peer assessment toolbox Training Policy recommendations Upscale of equatic prototype 16
THE PROTOTYPE available comparable easy to read data scores information 17
QUALITY IN INTERNATIONAL COOPERATION Quality of the partners involved Quality of international cooperation Quality of the information exchange Impact of the cooperation 18
AVAILABLE DATA Quality of partners Quality of information exchange Impact of the cooperation 19
COMPARABLE SCORES Parameters for choice of indicators -> limited number! Relevance Availability Measurability Unique source of information No Matthew Effect? From data to indicator scores 20
COMPARABLE SCORES 21
EASY TO READ INFORMATION Reports & visualisation For broad public Extra background Easy to read & interpret 22
EASY TO READ INFORMATION 23
EASY TO READ INFORMATION 24
PEER ASSESSMENT Based on mutual data input Generate reports on quality of international partners Reports on your own quality as perceived by your partners In order to improve the quality on both sides of the cooperation 25
WHAT TO MEASURE: INTERNATIONALISATION IN QUALITY ASSURANCE 26
INTERNATIONALISATION AS QUALITY INDICATOR 27
INSTITUTION REVIEW Hard quality indicators Define courses where international and intercultural competences are incorporated Faculty participation in international cooperation & procedures to guarantee quality (cfr. equatic) Window of opportunity in curriculum 29
INSTITUTION REVIEW Institution wide quality indicators 25% of all graduates have a study abroad experience 100% of all study programmes have incorporated international and intercultural competences in the programme competences Faculty/programme specific quality indicators Participation in staff mobility Integration of international elements in education 30
AREA S STILL TO BE EXPLORED 31
BEYOND THE OBVIOUS Measuring positive(?) effects of mobility experience Erasmus impact study 32
BEYOND THE OBVIOUS Measuring positive(?) effects of mobility experience Erasmus impact study Assessment of international and intercultural competencies of mobile students 33
DATA CAPABILITY 34
HESA RESEARH HE data collections Duplication in data collections Un-coordinated responses to request for data Lack of coherence in published info Data is kept in silos Data as a burdon 35
HESA RESEARH Data standards Standard = Specification x Adoption Why standards are difficult? Different realities Different understanding of the same reality Different language to describe realities Data to support different processes and functions 36
CONCLUSIONS 37
DATA CLEANING 38
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STANDARDISATION A standard is only a standard if it is used Standardisation of institutions is a huge challenge 40
STANDARDISATION For common understanding E.g. outgoing exchange student Summer school Group excursion What is a course? What is an agreement? 41
CONTEXT IS VITAL 42
Paul Leys Policy Advisor INTERNATIONAL RELATIONS OFFICE E <paul.leys@ugent.be T +32 9 264 70 32 Ghent University @ugent Ghent University www.ugent.be