LMS工具和数据分析方法

Abdeleh Bassam Al Amoush, K. Sandhu
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引用次数: 0

摘要

学习管理系统(LMS)是高等教育中必不可少的重要工具,非常适合作为一种学习工具和学习活动。因此,作者声称,最近大多数大学都在他们的研究所使用LMS工具。然而,每个学院都有不同的LMS工具,允许用户(管理人员、教师和学生)在日常活动中使用它们。本章讨论了主要的有用工具(Moodle, Blackboard, WebCT和Sakai)和最有用的数据分析方法(CB-SEM, PLS, GSCA和NEUSREL),以阐明每种工具的优缺点,从而为管理人员和研究人员选择合适的LMS工具和数据分析方法提供了一个更容易的决策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
LMS Tools and Data Analysis Approaches
Learning management systems (LMS) are a necessary and important tool and well suited as a learning tool and activity in higher educational. Thus, the authors allege that most of the universities these days are using the LMS tools in their institute. However, each institute has different LMS tools that allow the users (management, instructors, and students) to use them for daily activity. This chapter discusses the main usefulness tools (Moodle, Blackboard, WebCT, and Sakai) and the most useful data analysis approaches (CB-SEM, PLS, GSCA, and NEUSREL) in order to clarify the advantages and disadvantages for each of them, which gives an easier decision for managements and researchers to choose the suitable LMS tool and data analysis approach for their institute and research.
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