Mapping Diversity: Developing a European Classification of ... - U-Map
Mapping Diversity: Developing a European Classification of ... - U-Map
Mapping Diversity: Developing a European Classification of ... - U-Map
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World <strong>of</strong> Learning. If a further breakdown by level <strong>of</strong> program, discipline or mode <strong>of</strong> enrolment is<br />
required we shall have to turn to national sources.<br />
43<br />
Indicator 9b: number <strong>of</strong> staff (fte)<br />
International data sources again fall short <strong>of</strong> information on staff. World <strong>of</strong> Learning provides<br />
information on numbers <strong>of</strong> teachers but it is not clear whether all academic staff refers to teaching<br />
staff only. If it is teaching staff only the information needs to be complemented with data on other,<br />
non-teaching academic staff.<br />
There is also the issue <strong>of</strong> headcount data versus fte. With the rise <strong>of</strong> part-time pr<strong>of</strong>essors, there may<br />
be signifi cant differences between the two.<br />
Dimension 10: Mode <strong>of</strong> delivery<br />
Indicator 10a: number <strong>of</strong> distance learning programmes as % <strong>of</strong> total number <strong>of</strong><br />
programmes<br />
We have not come across international or national databases comprising information broken down<br />
along this dimension.<br />
Indicator 10b: number <strong>of</strong> part-time programmes as % <strong>of</strong> total number <strong>of</strong> programmes<br />
-<br />
Indicator 10c: number <strong>of</strong> part-time students as a percentage <strong>of</strong> total number <strong>of</strong> students<br />
-<br />
Dimension 11: Public/private character<br />
Indicator 11a: income from (competitive and non-competitive) government funding as a % <strong>of</strong><br />
total revenues<br />
International databases have some information on this indicator but again it is not broken down by<br />
individual institution. The data from the CHINC project may prove to be valuable in obtaining data<br />
on some countries and identifying major obstacles in working with national databases.<br />
Indicator 11b: income from tuition fees as % <strong>of</strong> total income<br />
-<br />
Dimension 12: Legal status<br />
Indicator 12a: Legal status (private or public)<br />
Information on this indicator is available in international databases (World <strong>of</strong> learning) and national<br />
databases.<br />
MAPPING DIVERSITY