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Using Peer Assessment with Educational Robots

机译:在教育机器人中使用对等评估

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Educational robots offer tremendous potential for providing exciting, dynamic learning experiences in K-12 Education. The constructionist notions of Piaget, Papert and others underpin the use of this technology. A problem exists in ensuring successful lessons using these paradigms. The root of that problem is the imagination, curiosity and creativity of students. How can that be given free reign while at the same time trying to meet the rigid demands of a school curriculum subjected to the hegemony of high-stake-testing? Seminal work by Black and Wiliams summarized what can be called good teaching practice - the key to resolving this conundrum. Their development of Assessment for Learning (AfL) strategies offers a way of structuring lessons while fostering essential intellectual freedom of the student. Peer assessment is a key part of AfL. This paper explains and illustrates how peer and self-assessment is an intrinsic aspect of educational robotic activities.
机译:教育机器人为在K-12教育中提供令人兴奋的动态学习体验具有巨大的潜力。伯爵,Papert和其他人的建构主义观念支撑了这项技术的使用。使用这些范例确保成功的课程存在问题。这个问题的根源在于学生的想象力,好奇心和创造力。在试图满足经受高风险测试霸权的学校课程的严格要求的同时,如何给予他们自由统治权?布莱克和威廉姆斯(Black and Wiliams)所做的开创性工作总结了所谓的良好教学实践-解决这一难题的关键。他们开发的学习评估(AfL)策略提供了一种构建课程的方式,同时促进了学生的基本智力自由。同行评估是AfL的关键部分。本文解释并说明了同伴和自我评估是教育机器人活动的一个内在方面。

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