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教育机器人技术用于培养年轻学习者的计算思维:系统性审查
Yu-Hui Ching1,2, Yu-Chang Hsu1,2
1Boise State University, Boise, ID USA.
概括
教育机器人有效地培养计算机思维 (CT) 技能,如对年轻学习者进行测序和调试. 乐高思维风暴和基于项目的学习是常见的,指导未来的教育设计.
科学领域:
- 教育技术的教育技术
- 计算机科学教育计算机科学教育
- 在K-12学习学习学习.
背景情况:
- 教育机器人为开发计算思维 (CT) 提供交互式环境.
- K-12教育越来越多地采用机器人技术来培养基本的数字技能.
- 需要进行系统审查,以综合用于CT开发的机器人研究.
研究的目的:
- 系统地检查关于教育机器人的实证研究,以帮助年轻学习者 (幼儿园到六年级) 进行CT发展.
- 识别常见的CT技能,机器人工具包和教学策略.
- 为未来的机器人活动设计提供指导,并确定研究缺口.
主要方法:
- 2012年至2021年间发表的22项同行评审的实证研究的系统综述.
- 分析的重点是教育环境,活动持续时间,CT技能,机器人平台和教学策略.
- 识别用于CT发展的适合发展的实践.
主要成果:
- 机器人技术用于CT开发主要是在正规教育环境中研究的.
- 通常针对的CT技能包括测序,条件,循环,调试和算法思维.
- 乐高Mindstorms套件和策略,如协作式,基于项目的和体现式学习经常被使用.
结论:
- 教育机器人技术是培养年轻学习者CT的可行工具.
- 乐高思维风暴和特定的教学方法对CT发展是有效的.
- 建议进行进一步的研究,以解决在CT教育中机器人技术中发现的差距.
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