Designing A Proposed Educational Program Based on Geographical Cloud Computing and Measuring its Effectiveness in Developing Research and Analysis Skills for Remote Sensing Big Data for Spatial Phenomena among Humanities Track Students at the Secondary Stage in Makkah

Abstract

The study aims at designing a proposed educational program based on geographic cloud computing and measuring its effectiveness in developing research and analysis skills for remote sensing big data for spatial phenomena among humanities track students at the secondary stage in Makkah. To achieve this; An available random sample of (29) students was selected from the study population. The study followed the quasi-experimental approach with a one-group design and used the observation card, and the attitude test to collect data. Results showed; There are statistically significant differences at the level (α≤ 0.05) between the mean scores of the study group in the pre and post measurements of the variables approved in the observation card and the attitude test in favor of the post measurement. Results also showed a significant (high) impact of the educational program in developing research and analysis skills for the sample, as the effect coefficient of the two dependent variables reached (2.11, 8.27), respectively. The results showed a strong, positive, direct correlation at the significance level (α≤0.01) between the two dependent variables for each of the research and analysis skills, where the coefficient of determination for the dependent variables was (0.685). Results also showed a linear predictive relationship (simple regression), where the regression value for research and analysis skills were (0.019, 35.656), respectively. Based on the results, a set of relevant recommendations and proposals were presented. Keywords: Geographical cloud computing, effectiveness, research skills, analysis skills, big data, spatial phenomena, remote sensing, humanities track, secondary stage