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Personalized E-learning System With Self-regulated Learning Assisted Mechanisms For Promoting Learning Performance

机译：具有自我调节学习辅助机制的个性化电子学习系统，可提高学习成绩

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With the rapid development of Internet technologies, the conventional computer-assisted learning (CAL) is gradually moving toward to web-based learning. Additionally, instructors typically base their teaching methods to simultaneously interact with all learners in a class based on their professional disciplines in the traditional classroom learning. However, the requirements of individual learners are frequently ignored in the traditional classroom learning. Compared to the conventional classroom learning, individual learners are the focus in web-based learning environments and many web-based learning systems provide personalized learning mechanisms for individual learners. One key problem is that learners have to frequently interact with web-based learning systems even though they lack instructors to monitor their learning attitudes and behavior during learning processes. Hence, a learner's ability to self-regulated learning is clearly an important factor affecting learning performance in a web-based learning environment. Self-regulated learning is a goal-oriented learning strategy that is very suited to self-managed learning to promote learning performance of individual learners in a web-based learning environment. However, how to assist learners in cultivating self-regulated learning abilities efficiently is an important research issue in the self-regulated learning field. This study presents a novel personalized e-learning system with self-regulated learning assisted mechanisms that help learners enhance their self-regulated learning abilities. The proposed self-regulated learning mechanisms assist learners in becoming lifelong learners who have autonomous self-regulated learning abilities. Additionally, four self-regulated learning types, based on a self-regulated learning competence index and self-regulated learning performance index, are also proposed. Experimental results demonstrate that the proposed self-regulated learning assisted mechanisms aid learners by speeding up their acquisition of self-regulated learning abilities in a personalized e-learning system, and help their learning performance.
机译：随着Internet技术的飞速发展，传统的计算机辅助学习（CAL）正在逐渐转向基于Web的学习。此外，讲师通常会基于传统课堂学习中的专业知识，根据他们的教学方法与班级中的所有学习者同时互动。然而，在传统的课堂学习中，个体学习者的要求经常被忽略。与传统的课堂学习相比，个体学习者是基于Web的学习环境中的焦点，许多基于Web的学习系统为个体学习者提供了个性化的学习机制。一个关键问题是，学习者必须经常与基于Web的学习系统进行交互，即使他们缺乏指导员来监控他们在学习过程中的学习态度和行为。因此，学习者的自我调节学习能力显然是影响基于Web的学习环境中学习成绩的重要因素。自我调节学习是一种面向目标的学习策略，非常适合自我管理学习，以在基于Web的学习环境中促进单个学习者的学习表现。然而，如何帮助学习者有效地培养自我调节学习能力是自我调节学习领域的重要研究课题。这项研究提出了一种新颖的个性化电子学习系统，该系统具有自我调节的学习辅助机制，可以帮助学习者增强自我调节的学习能力。拟议的自我调节学习机制可帮助学习者成为具有自主自我调节学习能力的终身学习者。此外，还提出了基于自我调节学习能力指数和自我调节学习绩效指数的四种自我调节学习类型。实验结果表明，所提出的自我调节学习辅助机制通过在个性化电子学习系统中加快学习者对自我调节学习能力的获取来帮助学习者，并帮助他们提高学习成绩。

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