Tarptautinis švietimo tyrimas PISA (Programme for International Student Assessment) tiria penkiolikmečių mokinių skaitymo gebėjimus, matematinį ir gamtamokslį raštingumą. Taip pat tyrimo metu renka informaciją apie mokinį, jo pomegius, informacinius ir komunikacinių technologijų išmanymą ir naudojimą, namų aplinką, mokyklą kurioje jis mokosi ir pan. Informacija surinkta tyrimo metu yra vertinga švietimo tyrėjams, sprendimų priėmėjams, švietimiečiams ir pan. Šio darbo tikslas – taikant hierarchinė regresiją rasti mokinių matematinio raštingumo rezultatų prikausomybę nuo mokymo(si) aplinkos veiksnių. Kadangi mokiniai yra pirmojo lygmens objektai, o mokyklos – antrojo lygmens, todėl analizuojant duomenis reikia atsižvelgti į duomenų hierarchiškumą. Besąlyginio hierarchinio modelio analizė atskleidė, kad 32 % Lietuvos penkiolikmečių matematinio raštingumo rezultatų skirtumų lemia mokyklos. Taikant hierarchinį tiesinį modeliavimą, sudarytas geriausias hierarchinis tiesinis modelis su atitinkamais kintamaisiais bei užrašyta lygtis, kuri gali būti naudojama Lietuvos penkiolikmečių matematinio raštingumo rezultatų prognozavimui. / International education survey PISA (Programme for International Student Assessment) examine 15-yers-old reading, mathematical and science literacy. A lot of information about student‘s, theirs hobbies, knowledge and use of information and comunication technology, home and school environment and etc. is collected during PISA survey. The collected information is valuable source of information for researchers, policy makers, educators and ect. The main purpose of this work, “Analysis of Lithuanian Students Literacy Using International Survey PISA 2009 Data“, is using hierarchical regression to find the students' mathematical literacy dependency of training and learning environment factors. The students are first-level objects and schools - at the second level, so data analysis should take into account the data hierarchy. Unconditional hierarchical model analysis revealed that 32 % of Lithuanian 15-years-old students’ mathematical literacy outcomes determined by the school. Best hierarchical linear model with relevant variables was done using hierarchical linear modelling. Also a prognostic equation of Lithuaninan 15-years-old students matematic literacy was created.

Object of the research. The research object includes a CCA and a model of a web-based decision support system developed by integrating basic knowledge in the sphere of construction management, civil law, mathematical methods and advanced computer technologies; the model system enables effective implementation of aims of various parties of a CCA. Aim and tasks of the work. The main aim of the dissertation is to develop a theoretical model of a web-based decision support system for legal regulation of CCAs, taking in to consideration principles of construction management, improvement of effectiveness of legal regulation of CCAs, employing computer technologies, theoretical assumptions related to development of e-business systems, and etc. In order to make an effective theoretical model of a web-based decision support system for legal regulation of CCAs, the following tasks are stated: • To analyse importance of e-business in improvement of effectiveness of preparation of CCAs. • To make a feasibility study of the potential of e-business principles, of factors determining effectiveness and of decision support measures in preparation of CCAs. • To analyse principles of operating decision support systems intended for construction, law and agreement preparation. • To prepare several models for evaluation of CCAs and to select the best. • To analyse the potential of application of currently used multiple criteria analysis methods in a web-based decision support system for legal... [to full text]