Suchergebnisse

The thesis examines the distribution of human resources in educational institutions of Lithuania municipals. With assessment of teachers workload and considering the demographic processes in regions of the country (children's birth rate, the number of students in classrooms, teachers' age) it is projected demand for teachers in the municipalities of the country from 2017 to 2028. The thesis uses data from the register of teachers, Department of statistics and Educational Center of Information Technologies databases. The moving average model were used for processing the data, assessed the real and notional number of teachers, defined and calculated the current and expected size of medium wage and teachers employment rate. In analysis of the forecast the data were interpreted in the context of local government, took account to the existing laws of education in Lithuania, education programs and the expected reform of teacher training. The study aims to find out what importance of demographic processes, change in the number of students, the number of teachers held in different municipalities of the country has to the demand for teachers. It is predicted that in the country's major cities (Vilnius, Klaipėda, Kaunas) the number of students will grow so in the near future will face a shortage of chemistry, physics, english, russian, Lithuanian language teachers. Because of the rapid decline in the number of students, teacher's workload will decrease in the municipalities of Biržai, Pakruojis, and Kupiškis.

The thesis examines the distribution of human resources in educational institutions of Lithuania municipals. With assessment of teachers workload and considering the demographic processes in regions of the country (children's birth rate, the number of students in classrooms, teachers' age) it is projected demand for teachers in the municipalities of the country from 2017 to 2028. The thesis uses data from the register of teachers, Department of statistics and Educational Center of Information Technologies databases. The moving average model were used for processing the data, assessed the real and notional number of teachers, defined and calculated the current and expected size of medium wage and teachers employment rate. In analysis of the forecast the data were interpreted in the context of local government, took account to the existing laws of education in Lithuania, education programs and the expected reform of teacher training. The study aims to find out what importance of demographic processes, change in the number of students, the number of teachers held in different municipalities of the country has to the demand for teachers. It is predicted that in the country's major cities (Vilnius, Klaipėda, Kaunas) the number of students will grow so in the near future will face a shortage of chemistry, physics, english, russian, Lithuanian language teachers. Because of the rapid decline in the number of students, teacher's workload will decrease in the municipalities of Biržai, Pakruojis, and Kupiškis.

Due to the different historical and geographical environment, economic and political conditions, the state of European countries' education systems is uneven. Comparing the effectiveness of countries' education systems is a difficult multi-criteria optimization task. This study proposes the methodology for effectiveness estimation of 29 European countries' education systems by applying the Composite Indicator (CI) paradigm. Given that the results of SAW (Simple Additive Weighting) aggregations can be replicated by DEA (Data Envelopment Analysis), the CIs should be constructed using the DEA model. In the context of the CIs construction, we expect a high discrimination power to enable the construction of rankings, but the DEA model showed limited discrimination power in this study. Two alternative ways to enhance discrimination power of the DEA model are analyzed – the use of weight restrictions in the DEA model and the reduction of data dimension before the DEA model. The main contribution of this study is the development of a new type of weight restriction that allows gradual transition from fixed to flexible weighting systems and solves the problem of insufficient discrimination of the DEA model. The use of hybrid PCA-DEA approach for effectiveness assessment has been investigated in this study. Despite the fact that this model has a higher discrimination power than the unrestricted DEA model when assessing the European countries' education systems, it has remained insufficient to perform ranking of the countries analysed. According to the research, the methodology for effectiveness estimation of education systems was proposed.

Due to the different historical and geographical environment, economic and political conditions, the state of European countries' education systems is uneven. Comparing the effectiveness of countries' education systems is a difficult multi-criteria optimization task. This study proposes the methodology for effectiveness estimation of 29 European countries' education systems by applying the Composite Indicator (CI) paradigm. Given that the results of SAW (Simple Additive Weighting) aggregations can be replicated by DEA (Data Envelopment Analysis), the CIs should be constructed using the DEA model. In the context of the CIs construction, we expect a high discrimination power to enable the construction of rankings, but the DEA model showed limited discrimination power in this study. Two alternative ways to enhance discrimination power of the DEA model are analyzed – the use of weight restrictions in the DEA model and the reduction of data dimension before the DEA model. The main contribution of this study is the development of a new type of weight restriction that allows gradual transition from fixed to flexible weighting systems and solves the problem of insufficient discrimination of the DEA model. The use of hybrid PCA-DEA approach for effectiveness assessment has been investigated in this study. Despite the fact that this model has a higher discrimination power than the unrestricted DEA model when assessing the European countries' education systems, it has remained insufficient to perform ranking of the countries analysed. According to the research, the methodology for effectiveness estimation of education systems was proposed.

Due to the different historical and geographical environment, economic and political conditions, the state of European countries' education systems is uneven. Comparing the effectiveness of countries' education systems is a difficult multi-criteria optimization task. This study proposes the methodology for effectiveness estimation of 29 European countries' education systems by applying the Composite Indicator (CI) paradigm. Given that the results of SAW (Simple Additive Weighting) aggregations can be replicated by DEA (Data Envelopment Analysis), the CIs should be constructed using the DEA model. In the context of the CIs construction, we expect a high discrimination power to enable the construction of rankings, but the DEA model showed limited discrimination power in this study. Two alternative ways to enhance discrimination power of the DEA model are analyzed – the use of weight restrictions in the DEA model and the reduction of data dimension before the DEA model. The main contribution of this study is the development of a new type of weight restriction that allows gradual transition from fixed to flexible weighting systems and solves the problem of insufficient discrimination of the DEA model. The use of hybrid PCA-DEA approach for effectiveness assessment has been investigated in this study. Despite the fact that this model has a higher discrimination power than the unrestricted DEA model when assessing the European countries' education systems, it has remained insufficient to perform ranking of the countries analysed. According to the research, the methodology for effectiveness estimation of education systems was proposed.

Due to the different historical and geographical environment, economic and political conditions, the state of European countries' education systems is uneven. Comparing the effectiveness of countries' education systems is a difficult multi-criteria optimization task. This study proposes the methodology for effectiveness estimation of 29 European countries' education systems by applying the Composite Indicator (CI) paradigm. Given that the results of SAW (Simple Additive Weighting) aggregations can be replicated by DEA (Data Envelopment Analysis), the CIs should be constructed using the DEA model. In the context of the CIs construction, we expect a high discrimination power to enable the construction of rankings, but the DEA model showed limited discrimination power in this study. Two alternative ways to enhance discrimination power of the DEA model are analyzed – the use of weight restrictions in the DEA model and the reduction of data dimension before the DEA model. The main contribution of this study is the development of a new type of weight restriction that allows gradual transition from fixed to flexible weighting systems and solves the problem of insufficient discrimination of the DEA model. The use of hybrid PCA-DEA approach for effectiveness assessment has been investigated in this study. Despite the fact that this model has a higher discrimination power than the unrestricted DEA model when assessing the European countries' education systems, it has remained insufficient to perform ranking of the countries analysed. According to the research, the methodology for effectiveness estimation of education systems was proposed.

Due to the different historical and geographical environment, economic and political conditions, the state of European countries' education systems is uneven. Comparing the effectiveness of countries' education systems is a difficult multi-criteria optimization task. This study proposes the methodology for effectiveness estimation of 29 European countries' education systems by applying the Composite Indicator (CI) paradigm. Given that the results of SAW (Simple Additive Weighting) aggregations can be replicated by DEA (Data Envelopment Analysis), the CIs should be constructed using the DEA model. In the context of the CIs construction, we expect a high discrimination power to enable the construction of rankings, but the DEA model showed limited discrimination power in this study. Two alternative ways to enhance discrimination power of the DEA model are analyzed – the use of weight restrictions in the DEA model and the reduction of data dimension before the DEA model. The main contribution of this study is the development of a new type of weight restriction that allows gradual transition from fixed to flexible weighting systems and solves the problem of insufficient discrimination of the DEA model. The use of hybrid PCA-DEA approach for effectiveness assessment has been investigated in this study. Despite the fact that this model has a higher discrimination power than the unrestricted DEA model when assessing the European countries' education systems, it has remained insufficient to perform ranking of the countries analysed. According to the research, the methodology for effectiveness estimation of education systems was proposed.

Due to the different historical and geographical environment, economic and political conditions, the state of European countries' education systems is uneven. Comparing the effectiveness of countries' education systems is a difficult multi-criteria optimization task. This study proposes the methodology for effectiveness estimation of 29 European countries' education systems by applying the Composite Indicator (CI) paradigm. Given that the results of SAW (Simple Additive Weighting) aggregations can be replicated by DEA (Data Envelopment Analysis), the CIs should be constructed using the DEA model. In the context of the CIs construction, we expect a high discrimination power to enable the construction of rankings, but the DEA model showed limited discrimination power in this study. Two alternative ways to enhance discrimination power of the DEA model are analyzed – the use of weight restrictions in the DEA model and the reduction of data dimension before the DEA model. The main contribution of this study is the development of a new type of weight restriction that allows gradual transition from fixed to flexible weighting systems and solves the problem of insufficient discrimination of the DEA model. The use of hybrid PCA-DEA approach for effectiveness assessment has been investigated in this study. Despite the fact that this model has a higher discrimination power than the unrestricted DEA model when assessing the European countries' education systems, it has remained insufficient to perform ranking of the countries analysed. According to the research, the methodology for effectiveness estimation of education systems was proposed.

Due to the different historical and geographical environment, economic and political conditions, the state of European countries' education systems is uneven. Comparing the effectiveness of countries' education systems is a difficult multi-criteria optimization task. This study proposes the methodology for effectiveness estimation of 29 European countries' education systems by applying the Composite Indicator (CI) paradigm. Given that the results of SAW (Simple Additive Weighting) aggregations can be replicated by DEA (Data Envelopment Analysis), the CIs should be constructed using the DEA model. In the context of the CIs construction, we expect a high discrimination power to enable the construction of rankings, but the DEA model showed limited discrimination power in this study. Two alternative ways to enhance discrimination power of the DEA model are analyzed – the use of weight restrictions in the DEA model and the reduction of data dimension before the DEA model. The main contribution of this study is the development of a new type of weight restriction that allows gradual transition from fixed to flexible weighting systems and solves the problem of insufficient discrimination of the DEA model. The use of hybrid PCA-DEA approach for effectiveness assessment has been investigated in this study. Despite the fact that this model has a higher discrimination power than the unrestricted DEA model when assessing the European countries' education systems, it has remained insufficient to perform ranking of the countries analysed. According to the research, the methodology for effectiveness estimation of education systems was proposed.

Due to the different historical and geographical environment, economic and political conditions, the state of European countries' education systems is uneven. Comparing the effectiveness of countries' education systems is a difficult multi-criteria optimization task. This study proposes the methodology for effectiveness estimation of 29 European countries' education systems by applying the Composite Indicator (CI) paradigm. Given that the results of SAW (Simple Additive Weighting) aggregations can be replicated by DEA (Data Envelopment Analysis), the CIs should be constructed using the DEA model. In the context of the CIs construction, we expect a high discrimination power to enable the construction of rankings, but the DEA model showed limited discrimination power in this study. Two alternative ways to enhance discrimination power of the DEA model are analyzed – the use of weight restrictions in the DEA model and the reduction of data dimension before the DEA model. The main contribution of this study is the development of a new type of weight restriction that allows gradual transition from fixed to flexible weighting systems and solves the problem of insufficient discrimination of the DEA model. The use of hybrid PCA-DEA approach for effectiveness assessment has been investigated in this study. Despite the fact that this model has a higher discrimination power than the unrestricted DEA model when assessing the European countries' education systems, it has remained insufficient to perform ranking of the countries analysed. According to the research, the methodology for effectiveness estimation of education systems was proposed.

The epigraphs of the Evangelical Lutheran cemeteries of Klaipėda provide rich information. They present exhaustive data on the buried person: full dates of their births and deaths, names, surnames, and maiden names of married women; sometimes even the place of origin or the social-professional status is indicated. Beside the personal data, the epigraphs contain farewell or sacred texts addressed to the dead. The ethnic Evangelical Lutheran cemeteries in Klaipėda Region significantly suffered during the historical and political events unfavourable for them. The majority of tombstones and crosses were totally destroyed and cannot be reconstructed. Unique information about the population of the Region was lost forever. In the article, the author analyzes the data presented in epigraphs: the distribution of the dead by gender and age, high infant/ children mortality rates, and other.

The epigraphs of the Evangelical Lutheran cemeteries of Klaipėda provide rich information. They present exhaustive data on the buried person: full dates of their births and deaths, names, surnames, and maiden names of married women; sometimes even the place of origin or the social-professional status is indicated. Beside the personal data, the epigraphs contain farewell or sacred texts addressed to the dead. The ethnic Evangelical Lutheran cemeteries in Klaipėda Region significantly suffered during the historical and political events unfavourable for them. The majority of tombstones and crosses were totally destroyed and cannot be reconstructed. Unique information about the population of the Region was lost forever. In the article, the author analyzes the data presented in epigraphs: the distribution of the dead by gender and age, high infant/ children mortality rates, and other.

The article presents analyzes results of local government's topographical spatial data archiving and exchange options and an overview of topographical work stages, which relates to data exchanging between institutions. The article examines topographical laws and local government's working methodology of spatial data.

The article presents analyzes results of local government's topographical spatial data archiving and exchange options and an overview of topographical work stages, which relates to data exchanging between institutions. The article examines topographical laws and local government's working methodology of spatial data.

The article presents analyzes results of local government's topographical spatial data archiving and exchange options and an overview of topographical work stages, which relates to data exchanging between institutions. The article examines topographical laws and local government's working methodology of spatial data.