人工智能
教育机器人学
机器人学
课程
基于项目的学习
计算机科学
背景(考古学)
机器人学习
机器人
工程类
工程管理
数学教育
教育学
数学
移动机器人
心理学
古生物学
生物
作者
Neal Grandgenett,Elliott Ostler,Neal Topp,Robert Goeman
出处
期刊:Advances in early childhood and K-12 education
日期:2012-01-26
卷期号:: 94-119
被引量:3
标识
DOI:10.4018/978-1-4666-0182-6.ch005
摘要
Some of the best learning may occur in the context of a problem, whether in life or in the formal educational classroom. This chapter focuses on the use of educational robotics as a rich context for real-life applications and problems that can encourage the teaching and learning of science, technology, engineering, and mathematics (STEM) in formal K-12 educational environments. The chapter presents research related to the compatibility of educational robotics with problem-based learning, as well as two years of field test results from a National Science Foundation (NSF) project that is developing, testing, and refining an educational robotics curriculum. This curriculum has a foundation of problem-based learning strategies. The national curriculum effort uses an open-source programmable, robot platform and a Web-based cyber-infrastructure delivery system that provides teachers with a flexible lesson structure, compatible with national standards and engaging students in problem-based learning.
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