Re-Examining the Socioeconomic Factors Affecting Technology Use in Mathematics Classroom Practices

Over the past 15 years a considerable amount of research has been devoted to study of the socioeconomic aspects that affect the use of economic technology in the mathematics classroom. With the call for curricular and instructional reform, educational institutions have embarked on the process to reform their educational practices to aid the urban student in their quest to obtain quality mathematics and science based education with the integration of technology. The study performed was to reexamine the socioeconomic disparities economic in the mathematics classroom as it relates to implementing technology interventions to support quality teaching and active student learning. This article is to provide empirical evidence of whether these disparities continue to exist and their effects on student achievement in the mathematics classroom. The results of this study showed an overall positive relationship regarding the use of technology interventions within the mathematics classroom with levels of student achievement, showing a clear signs of continued disparities within mathematics classroom.

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Socioeconomic Risks and Their Impacts on Ecological River Health in South Korea: An Application of the Analytic Hierarchy Process

Sustainability ◽

10.3390/su13116287 ◽

2021 ◽

Vol 13 (11) ◽

pp. 6287

Author(s):

Suyeon Kim ◽

Sang-Woo Lee ◽

Se-Rin Park ◽

Yeeun Shin ◽

Kyungjin An

Keyword(s):

South Korea ◽

Socioeconomic Factors ◽

Ecosystem Health ◽

Relative Importance ◽

River Ecosystem ◽

River Health ◽

Analytic Hierarchy ◽

Factors Affecting ◽

Factors Influencing ◽

Hierarchy Process

It is imperative to develop a methodology to identify river impairment sources, particularly the relative impact of socioeconomic sources, to enhance the efficiency of various river restoration schemes and policies and to have an internal diagnosis system in place. This study, therefore, aims to identify and analyze the relative importance of the socioeconomic factors affecting river ecosystem impairment in South Korea. To achieve this goal, we applied the Analytical Hierarchy Process (AHP) to evaluate expert judgement of the relative importance of different socioeconomic factors influencing river ecosystem impairment. Based on a list of socioeconomic factors influencing stream health, an AHP questionnaire was prepared and administered to experts in aquatic ecology. Our analysis reveals that secondary industries form the most significant source of stream ecosystem impairment. Moreover, the most critical socioeconomic factors affecting stream impairment are direct inflow pollution, policy implementation, and industrial wastewater. The results also suggest that the AHP is a rapid and robust approach to assessing the relative importance of different socioeconomic factors that affect river ecosystem health. The results can be used to assist decision makers in focusing on actions to improve river ecosystem health.

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Socioeconomic factors affecting domestic water demand in Israel

Water Resources Research ◽

10.1029/wr011i006p00805 ◽

1975 ◽

Vol 11 (6) ◽

pp. 805-809 ◽

Cited By ~ 9

Author(s):

Peretz Darr ◽

Stephen L. Feldman ◽

Charles S. Kamen

Keyword(s):

Socioeconomic Factors ◽

Water Demand ◽

Domestic Water ◽

Factors Affecting ◽

Domestic Water Demand

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Temporal and Spatial Heterogeneity of PM2.5 Related to Meteorological and Socioeconomic Factors across China during 2000–2018

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph19020707 ◽

2022 ◽

Vol 19 (2) ◽

pp. 707

Author(s):

Xiangxue Zhang ◽

Changxiu Cheng

Keyword(s):

Socioeconomic Factors ◽

Southern China ◽

Yangtze River Delta ◽

Socioeconomic Factor ◽

Factors Affecting ◽

The North ◽

The Status ◽

Risk Areas ◽

Future Direction ◽

Q Values

In recent years, air pollution caused by PM2.5 in China has become increasingly severe. This study applied a Bayesian space–time hierarchy model to reveal the spatiotemporal heterogeneity of the PM2.5 concentrations in China. In addition, the relationship between meteorological and socioeconomic factors and their interaction with PM2.5 during 2000–2018 was investigated based on the GeoDetector model. Results suggested that the concentration of PM2.5 across China first increased and then decreased between 2000 and 2018. Geographically, the North China Plain and the Yangtze River Delta were high PM2.5 pollution areas, while Northeast and Southwest China are regarded as low-risk areas for PM2.5 pollution. Meanwhile, in Northern and Southern China, the population density was the most important socioeconomic factor affecting PM2.5 with q values of 0.62 and 0.66, respectively; the main meteorological factors affecting PM2.5 were air temperature and vapor pressure, with q values of 0.64 and 0.68, respectively. These results are conducive to our in-depth understanding of the status of PM2.5 pollution in China and provide an important reference for the future direction of PM2.5 pollution control.

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Factors Affecting the Design and Development of a Personal Learning Environment

Technologies, Innovation, and Change in Personal and Virtual Learning Environments ◽

10.4018/978-1-4666-2467-2.ch018 ◽

2012 ◽

pp. 226-236

Author(s):

Helene Fournier ◽

Rita Kop

Keyword(s):

Learning Environment ◽

Human Factors ◽

Learning Environments ◽

Technology Use ◽

Interface Design ◽

Design And Development ◽

Factors Affecting ◽

Personal Learning ◽

Personal Learning Environment ◽

Personal Learning Environments

After speculation in literature about the nature of Personal Learning Environments, research in the design and development of PLEs is now in progress. This paper reports on the first phase of the authors’ research on PLE, the identification process of what potential users would consider important components, applications, and tools in a PLE. The methodology included surveying “super-users” on their use of existing tools, applications and systems and their preferences in learning, in order to enhance the development of a PLE and reach a specification that potential learners will find useful and empowering in their learning. The research resulted in suggestions on factors affecting technology use and uptake, human factors and attitudes, and interface design that need to be factored in the design and development of a PLE.

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