Learner Characteristic Based Learning Effort Curve Mode: the Core Mechanism on Developing Personalized Adaptive E- Learning Platform

This study aims to develop the core mechanism for realizing the development of personalized adaptive elearning platform, which is based on the previous learning effort curve research and takes into account the learner characteristics of learning style and self-efficacy. 125 university students from Taiwan are classified into 16 groups according to learning efficiency, learning style and self-efficacy. The learner characteristic based learning effort curve mode (LECM) is developed by conducting multi-factor regression on the corresponding learning effort curves generated by the specific group. The research findings conclude that the learner characteristic based LECM is able to represent the specific learning characteristics of the corresponding learning style and self-efficacy effectively. The core value of the learner characteristic based LECM is to realize the future development of personalized adaptive e-learning platform through taking it as the core mechanism.