用arduino机器人进行基于项目的学习:对本科生成绩和机器人编程任务持久性的影响
Fadip Audu Nannim1, Nnenna E Ibezim2, Moeketsi Mosia1
1Department of Mathematics, Natural Sciences and Technology Education, University of the Free State, Bloemfontein, South Africa.
Frontiers in robotics and AI
|July 25, 2025
概括
与传统方法相比,基于项目的Arduino机器人应用程序 (PARA) 显著提高了本科生机器人编程成就和任务持久性. 这种方法有助于学生与抽象编程概念作斗争.
科学领域:
- 计算机科学教育计算机科学教育
- 机器人工程 机器人工程 机器人工程
- 教育技术的教育技术
背景情况:
- 全球缺乏熟练的程序员突显了对计算机科学有效教学方法的需求.
- 机器人编程通常被本科生认为是抽象和困难的.
- 传统的教学方法可能无法充分解决学习机器人编程的挑战.
研究的目的:
- 评估基于项目的Arduino机器人应用程序 (PARA) 对本科生在机器人编程方面的学术成就的影响.
- 评估PARA对学生机器人编程任务持久性的影响.
- 为了比较PARA与传统交互式PowerPoint (IPP) 方法的有效性.
主要方法:
- 采用了准实验性的研究设计.
- 这项研究涉及74名来自三所高等院校的计算机和机器人教育二年级学生.
- 参与者被分为使用PARA方法或传统IPP方法的组.
主要成果:
- 与IPP (43.79 ± 12.07) 相比,PARA显著提高了学业成绩 (63.00 ± 16.81),而IPP则显著提高了学业成绩 (43.79 ± 12.07).
- 帕拉增强了任务持久性 (73.75 ± 13.46),比IPP (40.00 ± 13.70) 更有效.
- 根据教学方法观察到在成绩方面存在显著差异 (p < 0.05).
结论:
- 基于项目的Arduino机器人应用程序 (PARA) 是一种更有效的指令策略,用于提高机器人编程成就和任务持久性.
- PARA为教师提供了一个实用的解决方案,用于教机器人编程,特别是对于那些认为这个主题是抽象的学生.
- 结果表明,基于项目的学习方法可以积极影响学生在复杂的技术领域的参与和成功.
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