社会学习网络中的小型k -团队推荐

A. Ochirbat, Munkhtsetseg Namsraidorj, W. Hwang
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引用次数: 3

摘要

基于学生的熟练程度和他们在社会网络中的沟通,展示了一个有效的团队组建工具。实验采用两个独立的小组发现机制,在两个科目的68名学生池中进行。在2013/ 2014学年春季学期的四周时间里,我们使用所提出的工具在实验组中发现了31名学习“面向对象的分析与设计”的学生的分组,在对照组中使用了Moodle中可用的分组机制,37名学习“项目管理”的学生。本研究采用准实验研究,采用前测后测设计。结果表明,基于该算法的小分组具有较好的效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Small K-Teams Recommendation in Social Learning Networks
A tool for efficient team formation based on students' proficiency and their communication in social networks is demonstrated. An experiment was conducted using two separate group discovering mechanisms with a pool of 68 students in two subjects. The proposed tool was used to discover groups in the experimental group with 31 students who followed the subject Object Oriented Analysis and Design and the grouping mechanism available in Moodle was used in the control group of 37 students who followed the subject Project Management during four weeks in the Spring semester of the 2013/ 2014 academic year. The study was carried out in accordance with a quasi-experimental research with a pretest and a post test design. The result indicates that small grouping based on the algorithm has better outcome.
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