文献类型：期刊文献

中文题名：浙江省高中阶段机器人教育现状及改进举措的调查研究

英文题名：The Current Situation and the Improvement Measures of Robot Education in High School in Zhejiang Province

作者：严梓峻[1];叶雯菲[2];肖剑锋[1];余佳英[2];周佳瑶[2];刘焕香[3]

机构：[1]绍兴文理学院电子工程系,浙江绍兴;[2]绍兴文理学院数学系,浙江绍兴;[3]绍兴文理学院应用统计系,浙江绍兴

年份：2019

卷号：8

期号：4

起止页码：675

中文期刊名：统计学与应用

外文期刊名：Statistical and Application

基金：浙江省第七届大学生统计调查方案设计大赛参赛作品部分内容;教育部2018年第一批产学合作协同育人项目——实践条件与实践基地建设的资助,项目编号为201801201009;国家自然科学基金资助,编号为61877039。

语种：中文

中文关键词：机器人教育;多重响应;Friedman秩和检验法;ACSI模型

中文摘要：随着国家基础教育课程改革的不断深入实施,机器人教育越来越受到人们的关注和重视。为切实了解浙江省高中阶段机器人教育现状,并提出改进举措,本文调查了杭州、宁波、绍兴、金华四地区的高中生对机器人教育的认知情况、机器人教育现状及评价等内容。利用多重响应、Friedman秩和检验法、ACSI模型等统计方法分析,结果表明浙江省高中生对机器人教育的认知情况比较片面,对全国青少年科技创新大赛和中国青少年机器人竞赛了解较多,普遍认识乐高、扫地机等常见机器人,了解途径主要集中于书籍、网络;学校重视程度不高是学校开展机器人教育的最大阻碍因素;高中生对学校机器人教育现状的满意度较好,教师教学成效是提升满意度的关键因素。建议教育部门丰富机器人相关知识的传播途径,出台相关政策,增加投入资金,加强引进技术人才,创新教学模式,强化教师培训。

外文摘要：With the continuous implementation ofthe national basic education curriculum reform,robot education has receivedmore and more attention.In order to understand the status quo of roboteducation in senior high schools in Zhejiang Province and put forwardimprovement measures,this essay investigates the cognition,status quo andevaluation of robot education among senior high school students in Hangzhou,Ningbo,Shaoxing and Jinhua.By using thestatistical methods of multiple response,Friedman rank sum test and ACSI model,the results show that Zhejiang high school students have a partialunderstanding of robotic education.They know more about the National YouthScience and Technology Innovation Competition and China Youth RobotCompetition,and they generally know Lego,sweeper and other common robots.Themain ways of understanding are books and theInternet;the biggest obstacle to the development of Robotics Education inschools is that schools do not attachmuch importance to it;high school students are satisfied with the status quoof Robotics Education in schools;teachers’teaching effectiveness is the keyfactor to improve satisfaction.It is suggested that educationdepartments should enrich the dissemination channels of robot-relatedknowledge,formulate relevant policies,increase investment,strengthen theintroduction of technical personnel,innovate teaching modes and strengthenteacher training.