华东师范大学学报(自然科学版) ›› 2015, Vol. 2015 ›› Issue (4): 144-153.doi: 10.3969/j.issn.1000-5641.2015.04.015

• 地理学 • 上一篇    下一篇

基于Google Earth的地理位置认知能力在线测试方法

王喜凤,朱良峰   

  1. 华东师范大学 地理信息科学教育部重点实验室,上海200241
  • 收稿日期:2014-10-21 出版日期:2015-07-25 发布日期:2015-09-25
  • 通讯作者: 朱良峰,男,副教授,研究方向为地理信息科学. E-mail: lfzhu@geo.ecnu.edu.cn. E-mail: lfzhu@geo.ecnu.edu.cn.
  • 作者简介:王喜凤,女,硕士研究生,研究方向为数字地球理论与技术. Email: wangxifeng0817@163.com
  • 基金资助:

    国家自然科学基金(40902093);上海市哲学社会科学“十二五”规划课题(2014BCK002);国家科技专项(SinoProbe08)

Online testing of geographic location recognition using Google Earth

WANG Xi-feng,ZHU Liang-feng   

  • Received:2014-10-21 Online:2015-07-25 Published:2015-09-25

摘要: 地理位置认知能力,即在地图上定位和命名地点的能力,是地理素养评价的关键指标.现有的以二维纸质地图填图为基本工作方法的地理位置认知能力测试技术,虽然简单易行,但却存在形式呆板、效率低下、可复用性差等缺陷.以地理信息系统和数字地球系统为核心的地球空间信息技术,为地理位置认知能力的培养和测试工作提供了新的工作平台.本文研究了在Google Earth数字地球平台中进行地理位置认知能力测试的技术和方法,提出了基于Google Earth的地理位置认知能力在线测试框架.利用该框架不仅可以检验被测试者的地理位置知识,还可以起到培育和增强地理素养的作用.

关键词: 地理位置认知能力, 地理素养, 在线测试, Google Earth, KML

Abstract: Geographic location recognition, or the ability to locate and name places on a map, is an essential indicator to assess individuals’ geographic literacy levels. Past research has concentrated on testing one’s geographic location recognition using twodimensional paper maps. Whereas the paper mapping method is flexible and easy to follow, it requires a fixed paper map with a series of predefined quizzes and is therefore difficult to reuse. Advances in geospatial information technologies, led by geographical information systems and digital earth systems, is providing educators with a convenient platform to cultivate and assess one’s geographic location recognition. In this paper, we present a general framework and corresponding implementation methods for the online testing of geographic location recognition using the Google Earth digital earth platform. The most significant feature of the proposed framework and corresponding implementation program is that they have abilities to improve the individuals’ geographic literacy while conducting the testing.

Key words: geographic location recognition, geographic literacy, online testing, Google Earth, KML

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