Page 272 - Becoming Metric Wise
P. 272

264   Becoming Metric-Wise


          measurement of the quality of universities? Which methodology should
          be used to attain the goals of such rankings? And what precisely are these
          goals? These questions led to several international conferences such as the
          UNESCO-CEPES conference (held in Warsaw, 2002) and the First
          International Conference on World-Class Universities, (held in Shanghai,
          2005). An International Rankings Expert Group (IREG) was brought
          together consisting of top-level experts. IREG was involved in the Berlin
          Principles on Ranking of Higher Education Institutions (Institute for
          Higher Education Policy, 2006). This declaration was made in order to
          promote good ranking practices. Yet, one may still wonder: is it possible
          to compare universities on a world-wide scale, across continents, across
          cultural and educational traditions? The idea itself that such a ranking
          might be feasible can be considered as a consequence of the globalization
          of university and higher education.

          8.4.5 The Van Parijs Typology of University Rankings
          In an elegantly argued essay Van Parijs (2009) makes a distinction between
          three types of rankings.

          The Market Model
          According to this model the purpose of this type of list is to support the
          market for higher education. This was, indeed, the original purpose of
          the Shanghai Jiao Tong ranking. Its creators wanted to inform Chinese
          students about which universities were the best places for going abroad to
          study. In this model universities are ranked for the benefit of students,
          considered as consumers of educational services provided by universities
          and institutes of higher education. The market model type of list wants to
          fill an information gap. Clearly a “one size fits all” approach can never
          succeed. A solution for this problem is an interactive ranking in which
          customers (students) may adapt weights of different indicators. For some
          students the price of a university education must receive the highest
          weight, for others the standing of the physics department or any other
          department. Maybe even the “student life” in the neighboring city is an
          indicator that should be weighted high. Of course, the language in which
          the education is provided may be an indicator used to exclude certain
          universities: few international students want to study in Dutch, or few
          European students want to study in Chinese or Japanese. All this leads to
          a phenomenon referred to by Van Parijs as “my rankings,” where each
          ranking corresponds to the personal preference of one person. In order to
   267   268   269   270   271   272   273   274   275   276   277