Open AccessThe Effect of Google Earth-Assisted Remote Sensing Learning on Students ’Spatial Thinking Ability in Solving Disaster Mitigation Problems
Author(s) -
Bambang Syaeful Hadi,
Mukminan,
M Muhsinatun Siasah,
Kimpul E. Sariyono
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/884/1/012013
Subject(s) - test (biology) , geospatial analysis , earth observation , remote sensing , geomatics , data collection , pearson product moment correlation coefficient , digital earth , computer science , data science , mathematics education , geography , engineering , mathematics , satellite , statistics , geology , paleontology , aerospace engineering
Spatial thinking ability (STA) have an important role in the study of geography which is currently supported by many geospatial technologies. Remote sensing learning has a strategic position to support the formation of student STA. This study aims to (1) test the effectiveness of Google Earth-assisted remote sensing learning on students' spatial thinking skills to solve the disaster mitigation problems, and (2) examine the relationship between STA students and remote sensing learning achievements. This study uses a quasi-experimental design. The subjects in this study were students of the Department of Geography Education. Subjects were treated as remote sensing learning with the help of dynamic imagery in Google Earth. The experimental and control classes used are geography education students who are taking remote sensing courses. Data collection is done by the test method. The test instrument was in the form of multiple-choice questions developed based on the STA concept proposed by Gresmehl & Gresmehl. Data analysis techniques to test hypotheses are t-test and Pearson product-moment correlation. The expected results of the research are Google Earth-assisted remote sensing learning is effective for improving student STA in solving disaster mitigation problems. This can be seen from the test results that show the coefficient t = 30.187 with degrees sig = 0,000. There is a positive and significant relationship between STA students with remote sensing learning achievement. This can be seen from the high significance coefficient.