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An Adaptively-guiding Web-based E-learning System Based on Competency-based Learning Theory

机译:基于能力的学习理论的自适应引导基于网络的电子学习系统

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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.
机译:基于能力的学习理论(CBLT)强调了学习者在整个学习过程中的主角。为了实现学习者的预测学习目标,CBLT在学习者之间构成了大部分差异,并使用CBLT过程中的个人自适应学习路线进行评估,反馈和修改。本文使用CBLT成为系统设计的基础,并应用CBLT程序来指导学习者自适应研究。我们从CBLT实施的系统可以为学习者提供个人适应性学习路线,并具有自适应的引导辅助学习能力,帮助学习者独立和自适应地学习。实验结果表明,学习者可以独立,自适应地在制度中学于没有教师参与的,而学习课程具有标准范围,并且可以根据内容字符分类为几个类别。实验结果证明了基于CBLT的基于自适应的基于Web的电子学习(AGWBE)系统是一个有效的计算机辅助教学系统,可以指导学习者独立和自适应地学习,然后有效地分享教师的教学工作量。

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