3 research outputs found
Impact of PEDDA and Cooperative Learning Approach on Students’ Conception of Energy and Society in Senior Secondary School Physics in Onitsha Education Zone of Anambra State, Nigeria
The study investigated the impact of PEDDA and Cooperative Learning Approach (CLA) on students’ conception of energy and society in senior secondary school physics in Onitsha Education Zone of Anambra State, Nigeria. Two research questions and one null hypothesis guided the study. The study employed quasi experimental research design. The population of the study comprised all the 6,138 SS2 physics students in 32 public secondary schools in Onitsha Education Zone of which 315 students were sampled using simple random sampling technique specifically with replacement. Four public schools or groups were used for the study. Two groups were taught using PEDDA while the other two groups taught using CLA. The instrument for data collection was Conception Test on Energy and Society (CTES) consisting of 20 multiple choice questions. The reliability coefficient of 0.82 for CTES was determined using Kudder-Richardson twenty (K-R 20) formula. Mean and standard deviation were used to answer the two research questions while ANCOVA was used to test the hypothesis. The findings revealed that male and female students’ conception when taught energy and society using PEDDA and those taught using CLA is significant in favor of CLA group. Thus, the study recommended that physics teachers should adopt PEDDA so as to enhance students’ conception. Keywords: PEDDA, Cooperative Learning Approach, Gender, Energy and Society DOI: 10.7176/JEP/10-22-13 Publication date: August 31st 201
A Low-Cost Web Application System for Monitoring Geometrical Impacts of Surface Subsidence
This paper develops a low-cost web application system for monitoring geometrical impacts of surface subsidence. In many of the developing countries, the method of extraction of minerals such as coal is often impractical and uneconomical, especially with surface mining. With global warming, rapid population growth, and fast-growing urbanization with a disregard for sustainability, the overall subsidence risk has significantly increased. Despite the maturity of Differential Interferometric Synthetic Aperture Radar (DInSAR) for timely monitoring of subsidence hazards, the potential of SAR constellations has been under-exploited, as most applications focus mainly on mapping unstable areas. The developed web application system exploits Sentinel-1 SAR constellation and Small-BAseline Subset (SBAS-DInSAR) technique, to provide new streamlines of information for monitoring solutions and improve disaster risk decision making. We illustrate the model by investigating and measuring potential surface subsidence caused by underground hard coal mining activities and exponential urban population growth within a major coalmine in Nigeria. Results of the yearly cumulative amount of horizontal and vertical deformation between 2016 and 2020 range from −25.487 mm to −50.945 mm and −24.532 mm to −57.161 mm, for high and low risks, respectively. Under the influence of external factors such as rising poverty and fast-growing urbanization, the destruction of in situ stress distributions will likely increase nonlinear deformations
A Low-Cost Web Application System for Monitoring Geometrical Impacts of Surface Subsidence
This paper develops a low-cost web application system for monitoring geometrical impacts of surface subsidence. In many of the developing countries, the method of extraction of minerals such as coal is often impractical and uneconomical, especially with surface mining. With global warming, rapid population growth, and fast-growing urbanization with a disregard for sustainability, the overall subsidence risk has significantly increased. Despite the maturity of Differential Interferometric Synthetic Aperture Radar (DInSAR) for timely monitoring of subsidence hazards, the potential of SAR constellations has been under-exploited, as most applications focus mainly on mapping unstable areas. The developed web application system exploits Sentinel-1 SAR constellation and Small-BAseline Subset (SBAS-DInSAR) technique, to provide new streamlines of information for monitoring solutions and improve disaster risk decision making. We illustrate the model by investigating and measuring potential surface subsidence caused by underground hard coal mining activities and exponential urban population growth within a major coalmine in Nigeria. Results of the yearly cumulative amount of horizontal and vertical deformation between 2016 and 2020 range from −25.487 mm to −50.945 mm and −24.532 mm to −57.161 mm, for high and low risks, respectively. Under the influence of external factors such as rising poverty and fast-growing urbanization, the destruction of in situ stress distributions will likely increase nonlinear deformations