Learning Support Systems Based on Cohesive Learning Analytics

Fumiya Okubo, M. Yamada, Misato Oi, Atsushi Shimada, Yuta Taniguchi, S. Konomi
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引用次数: 3

Abstract

E-learning systems have become indispensable in educational institutions (Alsabawy, Cater-Steel, & Soar, 2013). The Learning Management System (LMS), the Course Management System (CMS), or the Virtual Learning Environment (VLE), is one such e-learning system and it is widely accepted in higher education (Islam, 2015). LMSs are used for facilitating e-learning. The LMS process is used to store and disseminate educational material and to support administration and communication associated with teaching and learning (McGill & Klobas, 2009). Ubiquitous technology is effective in enhancing the effects of the LMS and VLE on learning performance (Yin et al., 2015; Yamada et al., 2016). By using logs stored in the server, information technologies allow instructors to understand student learning behaviors. By using various data from sources such as the logs, learning analytics research contributes to the clarification and improvement of education and the learning environment (e.g., Ifenthalar, 2015; Ogata et al., 2015). To support student learning, revealing its patterns by using learning analytics methods might be useful. For example, Oi and her colleagues (Oi et al., 2015; Oi, Okubo, Shimada, Yin, & Ogata, 2015; Oi, Yamada, Okubo, Shimada, & Ogata, 2017) investigated the relationship between the use of e-books outside the classroom and academic achievement. They categorized e-book logs from the e-book delivery system as follows: If a log was recorded before a class session in which the same e-book was used as the textbook, it was labeled a preview log, and if after, a review log. As pointed out by Ausubel (1960) in his classical study, if a student gains knowledge of the contents of a course by performing a preview, it may help the student’s learning in the classroom by acting as an advance organizer. Performing a review may facilitate memory consolidation by working as a rehearsal of the contents of the course. The main findings are as follows: (1) The preview is more deeply related with academic achievement than the review (Oi, Okubo
基于内聚学习分析的学习支持系统
电子学习系统已经成为教育机构不可或缺的一部分(Alsabawy, carter - steel, & Soar, 2013)。学习管理系统(LMS)、课程管理系统(CMS)或虚拟学习环境(VLE)就是这样一种电子学习系统,它在高等教育中被广泛接受(Islam, 2015)。lms用于促进电子学习。LMS过程用于存储和传播教育材料,并支持与教与学相关的管理和沟通(McGill & Klobas, 2009)。泛在技术可以有效增强LMS和VLE对学习绩效的影响(Yin et al., 2015;Yamada等人,2016)。通过使用存储在服务器中的日志,信息技术使教师能够了解学生的学习行为。通过使用来自日志等来源的各种数据,学习分析研究有助于澄清和改善教育和学习环境(例如,Ifenthalar, 2015;Ogata et al., 2015)。为了支持学生的学习,使用学习分析方法来揭示其模式可能是有用的。例如,Oi和她的同事(Oi et al., 2015;大久保、岛田、殷、绪方,2015;Oi, Yamada, Okubo, Shimada, & Ogata, 2017)调查了课堂外使用电子书与学业成绩之间的关系。他们将电子书传送系统的电子书日志分类为:如果在上课前记录同一本电子书作为教科书,则标记为预览日志,如果在上课后记录为复习日志。正如Ausubel(1960)在其经典研究中指出的那样,如果学生通过预习获得课程内容的知识,那么预习可以起到提前组织者的作用,从而有助于学生在课堂上的学习。通过对课程内容的预演,复习可以促进记忆的巩固。主要研究结果如下:(1)预习与学业成绩的关系比复习更深刻(Oi, Okubo
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