Romanian Higher Education: Modelling Evolution Tendencies
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CONTRIBUTORS:
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CONFERENCE NAME:
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CONF. LOCATION:
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Penang, Malaysia
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CONFERENCE YEAR:
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2007
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PUB TYPE:
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Conference Presentation
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SUBJECT(S):
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education - evaluation; education - management; education - policy; informatics - applied; mathematics - statistics
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DISCIPLINE:
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Research Methods
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HTTP:
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http://lori.academicdirect.org/works/?id=141
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LANGUAGE:
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English
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PUB ID:
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103-436-078
(Last edited on
2007/07/08 10:07:49 GMT-6)
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SPONSOR(S):
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ABSTRACT:
After communist regime downfall (in 1989, December) the Romania Educational System was continuous changed. In 1995 was adopted Law of Education, and each university develops respecting the law, and personal management strategies taking into account the national educational necessities. Starting from the data regarding the number of students from higher education from 1992 to 2005 the aim of the present research is to develop and analyze a mathematical model useful in prediction of students’ number for a given year (in our case is 2008). The higher education was analyzed after geographical clusterization of the forty-two Romanian counties. Eight clusters included into analysis: Central, Capital, West, South, South West, South East, North West, and North East (called developing regions). In order to analyze the trends of Romanian higher education a mathematical model has been developed. The model integrates the following parameters: (1) the mean annual variation ratio (as absolute and relative values), (2) the increasing mean annual ratio (as absolute and relative values), (3) the number of students estimation for 1989 (as absolute value), (4) the numbers of students prediction for 2008, (5) the correlation coefficient, (6) the linear trend, (7) the number of students estimation for 1989 and (8) for 2008 obtained by the model. The mathematical model has been integrated into an online program and is available at:
http://vl.academicdirect.ro/applied_statistics/management&policy/education/romania/e_regions/.
The above-described parameters were computed for each item, cluster, and globally. The obtained results regarding the evolutions and predictions are analyzed and discussed. The plan of future development is highlighted.
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