• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>International Conference on Information Technology Based Higher Education and Training >Towards a Bio-inspired ACO Approach for Building Collaborative Learning Teams
【24h】

Towards a Bio-inspired ACO Approach for Building Collaborative Learning Teams

机译：迈向建设协作学习团队的生物启发的ACO方法

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Collaborative learning is an educational method used by teachers to impact learning in a positive way and enhance the learners' performances. It can occur within a group of two or more students. Therefore, the learners' grouping is an essential task for establishing collaboration and cooperation among them to achieve a common goal. However, with the increasing number of students as well as their different settings (academic, cognitive, emotional, social, etc.), the students grouping task becomes harder and more complex to build a good collaborative learn- ing environment. Hence, several researchers proposed different approaches for obtaining approximate solutions to handle this diversity and take advantages from it. In this context, this paper presents a systematic literature review (SLR) to pinpoint the relevant research works that address the students grouping problem. We also we focus on the ACO bio-inspired approach to discuss its advantages and how students group formation can be initially constructed by ACO method. In accordance with this, we adapt and simulate an existing ACO algorithm with randomly generated data. The obtained results show an interesting starting point for further works in order to develop a new approach based on real educational data.
机译：合作学习是教师使用的教育方法，以积极的方式影响学习，并提高学习者的表现。它可以发生在两个或更多学生的一组内。因此，学习者的分组是建立他们之间的合作与合作的重要任务，以实现共同目标。然而，随着学生人数的越来越多，以及他们的不同环境（学术，认知，情感，社交等），学生分组任务变得更加困难，并且建立一个良好的协作学习环境更加复杂。因此，一些研究人员提出了用于获得近似解决方案以处理这种多样性并从中采取优势的不同方法。在这方面，本文提出了一个系统文献综述（SLR），以确定解决学生分组问题的相关研究工作。我们还专注于ACO生物启发方法，以讨论其优势以及学生组形成如何通过ACO方法构建。根据此，我们通过随机生成的数据调整和模拟现有的ACO算法。所获得的结果表明，进一步作品的有趣起点是为了开发基于真实教育数据的新方法。

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