正在进行的工作:通过移动技术交互式分析现实世界对象,实现快速傅立叶变换的多方面渗透

Liang Hong, K. Qian, C. Hung
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引用次数: 4

摘要

最近的研究表明,工科学生在将所需的计算与概念理解联系起来以及将过程的图形理解转化为符号数学表示方面存在问题,特别是在处理过程的多个步骤时。学生通常能够执行一系列的基础计算,但不能拼凑出驱动这些过程的更高的概念关系。本文提出了一种可行的方法和一种新的教学范式,以提高快速傅里叶变换的教学效率,并显著改善学习效果。通过集成移动和云计算技术,我们正在开发一个手持式现实世界相关实验室,其中包括一个用于傅里叶变换的集成学习模块和一个共享的智能项目存储库,用于托管模块和现实世界相关数据。预计这一发展将克服转换技术的智力障碍,并解决现有方法中的挑战:基于项目的方法成本过高;在基于模拟的方法中,有限的访问和真实世界相关数据,以及不可靠和不可持续的支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Work in progress: Multi-faceted penetration of fast fourier transform by interactively analyzing real-world objects via mobile technology
Recent research shows that the engineering students have problems connecting the required computation to a conceptual understanding, as well as translating a graphical understanding of the process to a symbolic mathematical representation, especially when handling the multiple steps of the procedures. The students are usually able to perform sequences of the underlying calculations but cannot piece together the higher conceptual relationship that drives these procedures. This work-in-progress paper presents a viable approach and a new teaching and learning paradigm to enhance the effectiveness of teaching fast Fourier transform and significantly improve the learning outcomes. By integrating the mobile and cloud computing technologies, we are developing a handheld real-world relevance laboratory that includes an integrated learning module for Fourier transform and a shared intelligent project repository to host the module and real-world relevant data. This development is expected to overcome the intellectual inaccessibility of transform techniques and tackle the challenges in existing approaches: the prohibitive cost of project-based approach; limited access and real-world relevance data in simulation-based approach, and unreliable and unsustainable support.
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