• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>2014 Fifth International Conference on the Applications of Digital Information and Web Technologies >Together we stand, Together we fall, Together we win: Dynamic team formation in massive open online courses
【24h】

Together we stand, Together we fall, Together we win: Dynamic team formation in massive open online courses

机译：我们站在一起，我们站在一起，我们摔倒，我们一起赢：大规模的在线在线课程中充满活力的团队组成

获取原文
获取原文并翻译 | 示例
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Massive Open Online Courses (MOOCs) offer a new scalable paradigm for e-learning by providing students with global exposure and opportunities for connecting and interacting with millions of people all around the world. Very often, students work as teams to effectively accomplish course related tasks. However, due to lack of face to face interaction, it becomes difficult for MOOC students to collaborate. Additionally, the instructor also faces challenges in manually organizing students into teams because students flock to these MOOCs in huge numbers. Thus, the proposed research is aimed at developing a robust methodology for dynamic team formation in MOOCs, the theoretical framework for which is grounded at the confluence of organizational team theory, social network analysis and machine learning. A prerequisite for such an undertaking is that we understand the fact that, each and every informal tie established among students offers the opportunities to influence and be influenced. Therefore, we aim to extract value from the inherent connectedness of students in the MOOC. These connections carry with them radical implications for the way students understand each other in the networked learning community. Our approach will enable course instructors to automatically group students in teams that have fairly balanced social connections with their peers, well defined in terms of appropriately selected qualitative and quantitative network metrics.
机译：大规模开放在线课程（MOOC）通过为学生提供全球接触以及与世界各地数百万人联系和互动的机会，为电子学习提供了一种新的可扩展范例。通常，学生作为团队工作以有效地完成与课程相关的任务。但是，由于缺乏面对面的互动，MOOC学生很难进行协作。此外，由于学生大量涌入这些MOOC，导师在手动将学生组织成团队方面也面临挑战。因此，这项拟议的研究旨在为MOOC中的动态团队形成开发可靠的方法，其理论框架基于组织团队理论，社交网络分析和机器学习的融合。开展这项工作的前提是我们了解这样一个事实，即学生之间建立的每一个非正式联系都提供了影响和被影响的机会。因此，我们旨在从MOOC学生的内在联系中提取价值。这些联系对学生在网络学习社区中彼此了解的方式产生了根本性的影响。我们的方法将使课程讲师能够自动将学生分组到与同龄人之间具有相当平衡的社交联系的团队中，并在适当选择的定性和定量网络指标方面进行了明确定义。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号