Towards the use of CBR in clearing
Malte Ressin, Christian Sauer · UWL Repository (University of West London) · 2019
In the British higher education economy, special significance falls to allocation of study places to applying students. Universities may need to decide on short notice about offering study places to prospective student based on limited information. In this paper, we propose to use a case-based reasoning system to assist administrative staff with this decision. We will analyse the factors based on which subject specialists decide on offering study places to at a university and argue that a case-based reasoning system is in principle able to make a recommendation. We deem CBR as a useful AI-technique for this purpose, especially so as CBR allows to use the normally complex and partly unstructured data involved in the decision making process, following the principles of the experience web as well as experience management in partly unstructured data.