Investigating RFM Learner Cube Models of e-Learning Systems
Abstract: A learner model of e-learning systems is built up by the RFM (Recency, Frequency and Monetary) model of CRM (Customer Relationship Management). A six steps KDD (Knowledge Discovery in Databases) process is applied to transform the general learning portfolio to obtain the knowledge-independent RFM learner model. Following the convention of CRM research, such learner model is partitioned with indices from 111 to 555 and distributed over a three-dimensional learner cube model. Learners with different RFM indices possess different customer (learner) values, and the e-learning system can carry out different kinds of e-learning strategies. The six steps of KDD process are implemented and tested by a real e-learning portfolio to prove our idea. Further research will continuously explore for the application of different promotion strategies of e-learning systems.
Presider: Jennifer Leauga, Lynfield College