首页> 外文期刊>The international journal for technology in mathematics education >An Example of Competence-based learning: Use of Maxima in Linear Algebra for Engineers
【24h】

An Example of Competence-based learning: Use of Maxima in Linear Algebra for Engineers

机译:基于能力的学习的一个例子:Maxima在线性代数中对工程师的使用

获取原文
获取原文并翻译 | 示例
           

摘要

This paper analyses the role of Computer Algebra Systems (CAS) in a model of learning based on competences. The proposal is an e-learning model Linear Algebra course for Engineering, which includes the use of a CAS (Maxima) and focuses on problem solving. A reference model has been taken from the Spanish Open University. The proper use of CAS is defined as an indicator of the generic competence: Use of Technology. Additionally, we show that using CAS could help to enhance the following generic competences: Self Learning, Planning and Organization, Communication and Writing, Mathematical and Technical Writing, Information Management and Critical Thinking. A follow-up at several stages of the resolution of a problem-example shall be performed; analysing each contribution of Maxima to the competences' acquisition. The problem-example concerns an electronic device for a building surveillance system, with different possibilities according to the number of sides of the building and other parameters.
机译:本文分析了基于能力的学习模型中的计算机代数系统(CAS)的作用。该提案是面向工程的电子学习模型线性代数课程,其中包括使用CAS(Maxima)并着重解决问题。参考模型取自西班牙公开大学。 CAS的正确使用被定义为通用能力的指标:技术的使用。此外,我们证明使用CAS可以帮助增强以下通用能力:自我学习,计划和组织,沟通和写作,数学和技术写作,信息管理和批判性思维。在解决问题示例的几个阶段应进行跟进;分析Maxima对能力获得的每个贡献。该问题示例涉及用于建筑物监视系统的电子设备,根据建筑物侧面的数量和其他参数,电子设备具有不同的可能性。

著录项

  • 来源
  • 作者单位

    Dpto. de Matematica Aplicada. Universidad Nacional de Education a Distancia, Spain;

    Dpto. de Matematica Aplicada, E.U. Informatica, Universidad Politecnica de Madrid, Spain;

    Departamento de Matematica Aplicada y Computation, ETSI (ICAI), Universidad Pontificia Comillas and Departamento de Matematica Aplicada, E.U.I.T.I, Universidad Politecnica de Madrid;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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