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虚拟仿真技术在测绘教学中的应用与实践

Application and Practice of Virtual Simulation Technology in Surveying and Mapping Teaching

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【作者】 余学祥马浩

【Author】 YU Xuexiang;MA Hao;School of Spatial Information and Surveying Engineering, Anhui University of Science & Technology;Key Laboratory of Anhui Normal University for Collaborative Monitoring of Mining Disasters in Space;Coal Industry Engineering Research Center for Collaborative Monitoring of Mining Environment and Disasters;

【机构】 安徽理工大学空间信息与测绘工程学院矿山采动灾害空天地协同监测与预警安徽普通高校重点实验室矿区环境与灾害协同监测煤炭行业工程研究中心

【摘要】 针对当前测绘工程专业实践教学中存在的问题,可尝试引入虚拟仿真技术辅助测绘工程专业的教学与实践,文章以“无人机航空摄影培训”为例,利用虚拟仿真技术实现无人机实践教学的过程。结果表明,相对于传统教学模式,学生自主学习与课前学习的积极性和完成情况有较大提升,考核平均分数提升32.9%,实践效果提升21.0%,课后拓展训练提升36.1%。说明利用虚拟仿真技术进行测绘教学可以显著提高学生的学习积极性,有利于学生将理论知识与实际操作相结合,大大提高了学生的自主学习效率和教学实践的完成效果。

【Abstract】 In response to the current problems in practical teaching of surveying and mapping engineering, virtual simulation technology can be introduced to assist in the teaching and practice of surveying and mapping engineering.This article takes "UAV aerial photography training" as an example and uses virtual simulation technology to achieve the process of UAV practical teaching. The results show that compared to traditional teaching methods, students have significantly improved their enthusiasm and completion of self-directed learning and pre class learning. The average assessment score has increased by 32.9%, the practical effect has improved by 21.0%, and post class expansion training has improved by 36.1%. The use of virtual simulation technology in surveying and mapping teaching can significantly improve students’ learning enthusiasm, facilitate the combination of theoretical knowledge and practical operations,and greatly improve the efficiency of independent learning and the completion effect of teaching practice.

【基金】 2020年安徽省科技厅自然科学基金重点项目“抗差化加权整体最小二乘估计关键算法研究”(2008085MD114);2021安徽省科技厅重点研发计划项目“矿山采动沉陷灾害空天地井协同监测分析决策公共服务平台建设”(202104A07020014);2021年安徽省科技厅重大科技专项项目“‘北斗+’典型地质灾害协同监测与快速预警云平台研发及示范应用”(202103a05020026)
  • 【文献出处】 科教导刊 ,The Guide of Science & Education , 编辑部邮箱 ,2023年34期
  • 【分类号】G642;P20-4
  • 【下载频次】3
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