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Mapping Diversity: Developing a European Classification of ... - U-Map

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Table 1: Draft and classifi cation (result <strong>of</strong> project phase I)<br />

Dimension<br />

Types <strong>of</strong> degrees <strong>of</strong>fered<br />

Range <strong>of</strong> subjects <strong>of</strong>fered<br />

Orientation <strong>of</strong> degrees<br />

<strong>European</strong> educational<br />

pr<strong>of</strong>i le<br />

Research intensiveness<br />

Innovation driven<br />

research<br />

<strong>European</strong> research pr<strong>of</strong>i le<br />

International orientation<br />

Involvement in life long<br />

learning<br />

Size<br />

Mode <strong>of</strong> delivery<br />

Community services<br />

Public/private character<br />

Legal status<br />

Indicator<br />

a) highest level <strong>of</strong> degree <strong>of</strong>fered<br />

b) number <strong>of</strong> qualifi cations granted in each type<br />

number <strong>of</strong> subject areas covered by an institution using the UNESCO<br />

ISCED subject areas<br />

institutions themselves indicate to what extent their institutional pr<strong>of</strong>i le<br />

corresponds to the categories ‘academic orientation’, ‘pr<strong>of</strong>essional<br />

orientation’, ‘mixed orientation’, ‘not relevant’<br />

an institution’s fi nancial turn-over in <strong>European</strong> higher education<br />

programmes related to total turnover.<br />

number <strong>of</strong> peer reviewed publications relative to the total number<br />

<strong>of</strong> staff<br />

a) number <strong>of</strong> start-up fi rms<br />

b) number <strong>of</strong> patents<br />

c) volume <strong>of</strong> research contracts<br />

an institution’s fi nancial turn-over in <strong>European</strong> research programmes<br />

(Framework Programmes and <strong>European</strong> Research Council) related<br />

to the total turnover.<br />

a) proportion <strong>of</strong> international students related to the total number <strong>of</strong><br />

students in each type <strong>of</strong> degree<br />

b) proportion <strong>of</strong> <strong>European</strong> students related to the total number <strong>of</strong><br />

students in each type <strong>of</strong> degree<br />

c) proportion <strong>of</strong> international staff members related to total number<br />

<strong>of</strong> staff members<br />

the proportion <strong>of</strong> adult learners (e.g. older than thirty years) per type<br />

<strong>of</strong> degree related to total student body.<br />

a) number <strong>of</strong> students enrolled at the institution<br />

b) number <strong>of</strong> staff members employed by the institution<br />

a) campus-based versus distance learning<br />

b) domestic versus abroad mode <strong>of</strong> delivering educational<br />

programmes.<br />

the percentage <strong>of</strong> staff time attributed to community services<br />

the proportion <strong>of</strong> an institution’s private funding related to its total<br />

funding base<br />

the legal status <strong>of</strong> a higher education institution can either be public<br />

or private<br />

13<br />

2.3 Elaborating the draft-classification<br />

During the second phase <strong>of</strong> the research project the draft-classifi cation has been elaborated and<br />

tested. The following activities have been undertaken:<br />

• an exploratory analysis <strong>of</strong> the existing (<strong>European</strong>) data sources in order to fi nd out whether the<br />

relevant information for ‘fi lling the classifi cation’ could be collected from these sources;<br />

• a number <strong>of</strong> in-depth case-studies have been undertaken in order to better understand the<br />

needs and expectations <strong>of</strong> individual higher education institutions regarding the classifi cation;<br />

• a survey was conducted amongst a number <strong>of</strong> higher education institutions in order to test the<br />

relevance, validity and reliability <strong>of</strong> the elements <strong>of</strong> the classifi cation and to learn whether the<br />

necessary information can be supplied by the institutions.<br />

2.3.1 Exploratory analysis <strong>of</strong> existing data sources<br />

In an ideal world, a <strong>European</strong> classifi cation <strong>of</strong> higher education institutions would be based on<br />

readily available, trustworthy data that are defi ned and gathered at a <strong>European</strong> level or are at least<br />

comparable at that level. The advantages are obvious: defi nitions are spelt out, data are gathered<br />

MAPPING DIVERSITY

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