An Adaptively-Guiding Web-Based E-Learning System Based on Competency-Based Learning Theory

Abstract

Competency-based Learning Theory (CBLT) emphasizes that learners are protagonists in the entire learning process. In order to achieve the predictive learning targets of learners, CBLT make much of the individual differences between learners, and use the personal adaptive learning route in the CBLT procedure with evaluation, feedback, and modification. This paper used CBLT to be a foundation of system design, and to apply the CBLT procedure to guide learners to study adaptively. Our system implemented from CBLT can provide a personal adaptive learning route to learners, and has the adaptively-guiding assistant learning ability to help learners to learn independently and adaptively. The results of the experiment indicate that the learners could learn in the system independently and adaptively without teacher involvement while the learning courses had standard range and could be classified to several categories according the content characters. The results of the experiment proved this Adaptively-guiding Web-based E-learning (AGWBE) System based on CBLT was an effective computer-assisted instruction system that could guide learners to study independently and adaptively, then to share the teacher’s teaching workload efficiently.