Please use this identifier to cite or link to this item: http://repository.kln.ac.lk/handle/123456789/18408
Title: Evaluating Educational Production Function of Grade 11 Students Rough Canonical Correlation Analysis: Survey study in Passara Zone, Sri Lanka.
Authors: Dilhani, E. V. D.
Keywords: Canonical Correlation Analysis (CCA)
Economics of Education
Education Production Function (EPF)
Issue Date: 2017
Publisher: 8th International Conference on Business & Information ICBI – 2017, Faculty of Commerce and Management Studies, University of Kelaniya, Sri Lanka.
Citation: Dilhani, E. V. D. (2017). Evaluating Educational Production Function of Grade 11 Students Rough Canonical Correlation Analysis: Survey study in Passara Zone, Sri Lanka. 8th International Conference on Business & Information ICBI – 2017, Faculty of Commerce and Management Studies, University of Kelaniya, Sri Lanka. p.38.
Abstract: Economics of education indicates that if a country languishes in skills and knowledge of the nation, the development of the country will be a mirage. Dr. C. W. W. Kannangara, the father of free education system of Sri Lanka, introduced the free education system to Sri Lankan. And also, the government spends more on the education. This study formulated the Education Production Function (EPF) for G.C.E. Ordinary Level students in Passara education zone, Sri Lanka. Multivariate analysis technique used to evaluate empirical data. The EPF is based on Cobb-Douglas type production function by using Canonical Correlation Analysis (CCA. The EPF estimations show student’s self-learning hours are the most affected factor on student’s cognitive achievements. Amount of sleeping hours, scarcity of education resources at home are negatively affected on children’s education. It seems that students who live in Passsara education zone are weak in time management ability. So, it is an important to develop student’s time management ability in Passara education zone.
URI: http://repository.kln.ac.lk/handle/123456789/18408
Appears in Collections:ICBI 2017

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