scholarly journals Evaluate the Affected Factors on Student's Mathematics Performance in Rural Areas by Estimating an Education Production Function : As a Case Study of Passara Educational Zone, Sri Lanka

2017 ◽  
Vol 5 (2) ◽  
pp. 07-17
Keyword(s):  
Sri Lanka ◽  
Production Function ◽  
Rural Areas ◽  
Mathematics Performance ◽  
Education Production Function ◽  
Education Production

TEACHER EFFECTS ON HIGH SCHOOLACADEMIC ACHIEVEMENT SCORES: A CASE STUDY OF BUSIA COUNTY, KENYA

2021 ◽  
pp. 131-139
Author(s):  
Julius Maiyo ◽  
Manasi Echaune
Keyword(s):  
Academic Achievement ◽  
Hierarchical Linear Modeling ◽  
Teacher Commitment ◽  
Achievement Scores ◽  
Linear Modeling ◽  
Teacher Effects ◽  
Education Production Function ◽  
Education Production ◽  
Descriptive Survey

ABSTRACT This study sought to analyze teacher effects on high school academic achievement scores in Busia County, Kenya. The study was based on the education production function theory. A descriptive survey research design was employed. A sample of 236 teachers and 755 students was used. Self administered questionnaires were used to collect data and test re-test was used to ascertain reliability of the instrument. Descriptive statistics namely; percentages, frequencies, mean, and standard deviations were used to carry out preliminary data analysis. Inferential statistics specifically correlation and regression coefficients were then used to test hypotheses. Hierarchical linear modeling was used to model effect of selected teacher variables on school academic achievement scores. Findings of the study were presented in tables and figures. Findings of the study suggested that the number of teachers, teacher commitment and teachers covering missed lessons had statistically significant effects on school academic achievement scores. Key words: Teacher Variables, Academic Achievement Scores, Kenya

scholarly journals The Production of Economic Knowledge in Urban and Rural Areas: The Role of Student, Teacher, and School Characteristics

2013 ◽  
Vol 45 (1) ◽  
pp. 1-15 ◽  
Author(s):  
Roger Butters ◽  
Carlos Asarta ◽  
Eric Thompson
Keyword(s):  
Production Function ◽  
Rural Areas ◽  
Economic Education ◽  
Rural Students ◽  
Economic Knowledge ◽  
Senior Year ◽  
Education Production ◽  
Rural And Urban ◽  
Urban And Rural Areas ◽  
K 12

Many states are adopting economic education standards for the K-12 curriculum, mandating economic education courses in rural and urban schools. We examine economic education outcomes for rural and urban students using test scores gathered during a national high school academic competition and by estimating a production function for economic education. We find only limited differences between the education production function in urban and rural settings and lower average scores for rural students. To close this gap, results suggest that rural schools should place economic content in the senior-year curriculum and provide teachers with increased postgraduate training in economics.

scholarly journals Influence of Teaching Skills and Training Methodology on Performance of Learners with Visual Impairment in Public Primary Schools in Narok West Sub-County, Kenya.

2021 ◽  
Vol 4 (1) ◽  
pp. 1-6
Author(s):  
Tonui Elijah ◽  
Ruth Nyambura ◽  
Peterson Oigara
Keyword(s):  
Visual Impairment ◽  
Production Function ◽  
Research Design ◽  
Primary Schools ◽  
Teaching Skills ◽  
Education Production Function ◽  
Education Production ◽  
Descriptive Research ◽  
Training Methodology ◽  
And Training

The study sought to assess the influence of teaching skills and training methodology on the performance of learners with visual impairment in public primary schools in Narok West Sub-County, Kenya. The study analysed past theories related to the topic under the theoretical review that is Education Production Function (EPF) theory. The researcher used a descriptive research design to capture the information on the influence of teaching skills and training methodology. The findings indicated that teaching skills and training methodology influence the performance of learners with visual impairment in public primary schools in the Narok West Sub-County

The Education Production Function: Its Evolving Role in Policy Analysis

1989 ◽  
Vol 11 (1) ◽  
pp. 31-45 ◽  
Author(s):  
David H. Monk
Keyword(s):  
Education Policy ◽  
Policy Analysis ◽  
Production Function ◽  
Structural Parameters ◽  
Function Concept ◽  
Education Production Function ◽  
Education Production ◽  
Production Research ◽  
Research In Education

Production research in education has been dominated by attempts to estimate the structural parameters of what has been called the education production function. These estimation attempts are viewed in this article as only one way the production function concept can be drawn upon to inform debates over education policy. After exploring what it means to posit the existence of the education production function, the article critically reviews past estimation efforts and gives examples of how the production function can be used as a source of insight to guide policy-relevant inquiries into education productivity.

scholarly journals Estimation of an Education Production Function under Random Assignment with Selection

2014 ◽  
Vol 104 (5) ◽  
pp. 206-211 ◽  
Author(s):  
Eleanor Jawon Choi ◽  
Hyungsik Roger Moon ◽  
Geert Ridder
Keyword(s):  
High School ◽  
High School Students ◽  
Production Function ◽  
Cohort Effect ◽  
Effect Estimate ◽  
Random Assignment ◽  
School Students ◽  
Education Production Function ◽  
Ability Test ◽  
Education Production

This paper estimates an education production function using data on the College Scholastic Ability Test score and high school characteristics from Seoul, Korea, where, on entering high school, students are randomly assigned to schools within each school district. We derive a school production function by aggregating the individuals' potential outcomes under the random assignment and no cohort effect assumption. We find that the school production function coefficients differ between districts and that the single-sex school effect estimate is much larger than that found in previous studies.

scholarly journals Vocational Teacher Productivity in Palembang: Education Production Function

2020 ◽  
pp. 112-119
Author(s):  
Evi Oktavia ◽  
Keyword(s):  
Production Function ◽  
Test Scores ◽  
Standardized Test ◽  
Education And Training ◽  
Primary Data ◽  
Coefficient Of Determination ◽  
Education Production Function ◽  
Education Production ◽  
Teacher Productivity ◽  
And Training

In education sector the direct estimates of worker productivity are available for the majority of the workforce. In recent years, educational economists examine productivity returns to work experience among teachers using predicted contributions to increase student test scores as a proxy for productivity. Teacher productivity in the labor economy is measured using the education production function model. An education production function is an application of the economic concept of a production function to the field of education. It relates various inputs affecting a student's learning (schools, families, peers, neighborhoods, etc.) to measured outputs including subsequent labor market success, college attendance, graduation rates, and, most frequently, standardized test scores. This study was aimed to determine the effect of wages, level of education and training toward honorary teachers’ productivity in Palembang. The data used in this study were primary data in the form of questionnaires which were asked directly to the respondents with a total number of 310 respondents from 28 private vocational schools in Palembang. Survey was used as the data collection method with proportional random sampling withdrawal. Data analysis method used in this study was multiple regression with OLS method. The results of this study indicated that wages, education and training affect the productivity of private vocational school teachers in Palembang. The coefficient of determination for the variable of wages, education and training was 65%. It showed that wages, education, and training had 65% effects on productivity and the remaining 35% was influenced by other variables. As the research results show, the productivity was very important in measuring the success of an employee. It can be seen by paying attention to the level of wages, education and training participated by teachers in a school institution, especially in Palembang.

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