Developing EL-RFM model for quantification learner's learning behavior in distance learning

Abstract

Recently, Internet has become an import learning environment to assist students' learning, overcoming the limitations of time and space. In addition, the Internet is an import on-the-job trainings space to an enterprise, increasing enterprise's competitiveness in rapidly changing environment. In Internet learning environment, learning and teaching is separated, the most of learning process is managed by learner himself. The learner's learning motive force is an important factor to gain the well learning effectiveness. Therefore, the instructor want to know the learner's learning process, and has a measuring model to measure the learner's learning motive force. In this study, the EL-RFM model (for E-Learning RFM) is proposed to measure learner's learning motive force. The model is an approximate RFM model, but the meanings of R, F, and M are redefined, namely EL-R, EL-F, EL-M. The EL-RFM model's aim is to measure students' learning motive forces, and then the instructor can realize and analysis students' behaviors. Furthermore, the instructor could develop better assistant learning strategies to attract students' interest in learning process.