Magistro darbo objektas – Žiniatinklio 2.0 įrankiai. Magistro darbo tikslas – išanalizuoti Žiniatinklio 2.0 įrankių įtaką ir poreikį aukštajame moksle (studijose). Tikslui pasiekti iškelti šie uždaviniai: išskirti pagrindines Žiniatinklio 2.0 charakteristikas ir nustatyti jų poveikį aukštojo mokslo studijoms; išanalizuoti, palyginti ir išskirti Žiniatinklio 2.0 įrankių pagrindinius principus ir nustatyti, kokius įrankius tikslinga integruoti į aukštojo mokslo studijas; ištirti Žiniatinklio 2.0 įrankių (ne)naudojimo priežastis aukštojo mokslo studijose ir nustatyti konkrečių, potencialą turinčių įrankių, poreikį. Rengiant darbą naudoti teoriniai ir empiriniai tyrimo metodai. Teorinei daliai apibendrinti naudota analizės ir lyginamasis metodai. Žiniatinklio 2.0 įrankiams ir mokymo modelių transformacijoms struktūrizuoti, naudota apibendrinimo, dedukcijos, grupavimo, lyginamasis ir sintezės metodai. Empiriniai tyrimo metodai: apklausos (ekspertų interviu, grupinė diskusija, interviu). Magistro darbe buvo nagrinėtos pedagoginių inovacijų, mokymo modelių ir kitų svarbių magistro temai elementų interpretacijos pasauliniu mastu, remiantis įvairių pasaulio šalių mokslininkų darbais (C. Mcloughlin, M. Lee, Goodfellow, A. Chan, C. Barnatt, D. Huang, R. Behara, M. Rich, N.B. Dohn, P. Daniels M. Ebner). Nustatytas Žiniatinklio 2.0 ir kitų IKT poveikis aukštojo mokslo studijoms: procesams, subjektams, objektams. Atsižvelgiant į diskutuotiną ir nenusistovėjusį Aukštojo mokslo 2.0 modelį... [toliau žr. visą tekstą] / The subject matter of the master paper is the potential integration of Web 2.0 tools in Higher Education. First of all, scientific literature was analyzed to reveal the main principles of Web 2.0 and its impact to Higher Education studies. However, three main principles of modern Higher Education 2.0 conception were determined. The first principle is the usage of new resources on the Internet for learning and teaching. They include all the content on the Internet generated with Web 2.0 tools, such as Blogs, Wikis, Podcasts, RSS, Social Bookmarks and more. The second principle is the new teaching and learning strategies. They should adopt a collaborative work, particular Web 2.0 tools, and the appropriate pedagogy methods. The main focus should be driven to the student evaluation, new competencies and skills to the students, and lecturers’ attitude to student. The third principle is new pedagogy models. The main focus is the pedagogy changes that should all include student-oriented approaches, such as conectivizm, social constructivism and others. A lot of new terms combined with “2.0” were presented in the scientific literature. However, all of them, such as Higher Education 2.0, E-learning 2.0, Pedagogy 2.0, Teaching Model 2.0 are still on the hot discussions among scientists as well as LMS specialists thought there are new thoughts of Higher Education 3.0. There are various suggestions for lecturers and institutions giving references for them what to start from... [to full text]

Magistro darbe dėmesys skiriamas virtualiems socialiniams tinklams, jų pagalba vykdomiems komunikaciniams procesams bei realios tarptautinės komunikacinės patirties poveikiui, virtualiame socialiniame tinkle vykdomiems komunikacijos procesams. Ši tema aktuali, nes virtualūs socialiniai tinklai užima vis svaresnes pozicijas globalios komunikacijos kontekste. Virtualios socializacijos procesams vykdyti, būtinas individo realioje erdvėje turimų kontaktų, sukaupto socialinio kapitalo bei komunikacinės patirties integravimas į virtualių socialinių tinklų sukurtas bendravimo sistemas. Magistro darbo objektas virtualūs socialiniai tinklai kaip tarptautinės komunikacijos priemonė. Darbo Tikslas – ištirti, kokią įtaką reali tarptautinė komunikacija turi virtualiame socialiniame tinkle vykstantiems komunikaciniams procesams. Iškelti uždaviniai: išsiaiškinti pagrindinius virtualaus socialinio tinklo veikimo principus; nustatyti realaus ir virtualaus socialinio tinklo sąsajas; išanalizuoti socialinio kapitalo formavimąsi virtualioje erdvėje; įvertinti realios ir virtualios komunikacijos procesų tarpusavio sąveiką; įvertinti realios komunikacijos reikšmę virtualios komunikacijos dinamikai; išsiaiškinti socialinio pasitikėjimo dėmens svarbą virtualios komunikacijos procesuose. Naudojant dokumentų, dokumentinių šaltinių analizę nustatyta, virtualūs socialiniai tinklai veikia plotmėje, kurioje išnyksta riba tarp viešos ir privačios individo erdvės. Socialiniai aspektai perkeliami į virtualią... [toliau žr. visą tekstą] / The Master‘s paper work focuses on virtual social networks and active communication processes online. This topic is actual as virtual social networks takes a commanding lead in the context of global communication. In order to achieve basic goals social capital, communication experience and process of socialisation must be integrated into well based online social networking systems. The object of the master‘s paper is virtual social networks as the mean of international communication. The target of the work is to investigate what kind of impact does the real face to face communication has on the communication processes in the virtual social networks. The tasks set: to find out the main aspects of how does virtual social network works; evaluate the connections between real and online social capital; analyze formation processes of social capital in online sphere; see how real communication affects dynamics of virtual online communication; evaluate the impact of social trust while communicating online. Using the analysis of documents, documentary sources, it was determined that the virtual social networks exists in the space where is no feel of any physical boundaries that limits communication processes. Social communication strength is based on major success and popularity of virtual social networks. Also, it was evaluated that user can’t materialise processes that is happening in online world, but he collects big amount of experience, that has a major impact in the real life... [to full text]

Modern methods of speech synthesis are not suitable for restoration of song signals due to lack of vitality and intonation in the resulted sounds. The aim of presented work is to synthesize melismas met in Lithuanian folk songs, by applying Artificial Neural Networks. An analytical survey of rather a widespread literature is presented. First classification and comprehensive discussion of melismas are given. The theory of dynamic systems which will make the basis for studying melismas is presented and finally the relationship for modeling a melisma with nonlinear and dynamic systems is outlined. Investigation of the most widely used Linear Prediction Coding method and possibilities of its improvement. The modification of original Linear Prediction method based on dynamic LPC frame positioning is proposed. On its basis, the new melisma synthesis technique is presented. Developed flexible generalized melisma model, based on two Artificial Neural Networks – a Multilayer Perceptron and Adaline – as well as on two network training algorithms – Levenberg- Marquardt and the Least Squares error minimization – is presented. Moreover, original mathematical models of Fortis, Gruppett, Mordent and Trill are created, fit for synthesizing melismas, and their minimal sizes are proposed. The last chapter concerns experimental investigation, using over 500 melisma records, and corroborates application of the new mathematical models to melisma synthesis of one performer.

Modern methods of speech synthesis are not suitable for restoration of song signals due to lack of vitality and intonation in the resulted sounds. The aim of presented work is to synthesize melismas met in Lithuanian folk songs, by applying Artificial Neural Networks. An analytical survey of rather a widespread literature is presented. First classification and comprehensive discussion of melismas are given. The theory of dynamic systems which will make the basis for studying melismas is presented and finally the relationship for modeling a melisma with nonlinear and dynamic systems is outlined. Investigation of the most widely used Linear Prediction Coding method and possibilities of its improvement. The modification of original Linear Prediction method based on dynamic LPC frame positioning is proposed. On its basis, the new melisma synthesis technique is presented. Developed flexible generalized melisma model, based on two Artificial Neural Networks – a Multilayer Perceptron and Adaline – as well as on two network training algorithms – Levenberg- Marquardt and the Least Squares error minimization – is presented. Moreover, original mathematical models of Fortis, Gruppett, Mordent and Trill are created, fit for synthesizing melismas, and their minimal sizes are proposed. The last chapter concerns experimental investigation, using over 500 melisma records, and corroborates application of the new mathematical models to melisma synthesis of one performer.