A Self-regulated Learning approach for programming language using cloud-based Learning Management System

S. Thamarai Selvi, K. Panneerselvam
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引用次数: 10

Abstract

Indian students lack the skill of Self-regulated Learning (SRL) that is indispensable for lifelong learning. Current E-Learning systems provide content to the students as a whole, needing effort from the students to identify, discriminate and classify contents to be covered for particular topics. In this paper, a Learning Management System (LMS) is presented that provides students with electronic materials and supporting tools to inculcate Self-regulated Learning by the way of providing an environment to learn a programming language. The course contents of language are dynamically provided to the students appropriate to the level of knowledge acquired using Adaptive Learning Objects (ALOB). Students learn the contents to achieve the goal set by the teacher at the start of each level. Students monitor their learning process using a set of tools provided by the system and manage their time, effort and reading being spent in learning the provided content. Students assess their knowledge and take suitable corrective actions when required. The system is implemented as web services and made accessible anywhere, anytime by deploying it over a cloud. The results show that the students who underwent the course show increase in the self-regulation components and the interest to learn in-depth.
基于云学习管理系统的编程语言自主学习方法
印度学生缺乏终身学习不可或缺的自我调节学习(SRL)技能。当前的E-Learning系统将内容作为一个整体提供给学生,需要学生努力识别、区分和分类特定主题所涵盖的内容。本文提出了一个学习管理系统(LMS),通过提供一个学习编程语言的环境,为学生提供电子材料和辅助工具来灌输自我调节学习。使用自适应学习对象(ALOB),动态地向学生提供与所学知识水平相适应的语言课程内容。学生学习的内容是为了实现教师在每一阶段开始时设定的目标。学生使用系统提供的一套工具来监控他们的学习过程,并管理他们在学习所提供的内容上花费的时间、精力和阅读量。学生评估他们的知识,并在需要时采取适当的纠正措施。该系统是作为web服务实现的,并且可以通过部署在云上随时随地访问。结果表明,参加课程的学生在自我调节成分和深入学习的兴趣方面有所提高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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