27 resultados para virtual learning community
em Doria (National Library of Finland DSpace Services) - National Library of Finland, Finland
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The focus of this Master’s Thesis is on knowledge sharing in a virtual Learning community. The theoretical part of this study aims at presenting the theory of knowledge sharing, competence development and learning in virtual teams. The features of successful learning organizations as well as enablers of effective knowledge sharing in virtual communities are also introduced to the reader in the theoretical framework. The empirical research for this study was realized in a global ICT company, specifically in its Human Resources business unit. The research consisted of two rounds of online questionnaires, which were conducted among all the members of the virtual Learning community. The research aim was to find shared opinions concerning the features of a successful virtual Learning community. The analysis of the data in this study was conducted using a qualitative research methodology. The empirical research showed that the main important features of a successful virtual Learning community are members’ passion towards the community way of working as well as the relevance of the content in the virtual community. In general, it was found that knowledge sharing and competence development are important matters in dynamic organizations as well as virtual communities as method and tool for sharing knowledge and hence increasing both individual and organizational knowledge. This is proved by theoretical and by empirical research in this study.
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http://www.eurodl.org/.
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Learning of preference relations has recently received significant attention in machine learning community. It is closely related to the classification and regression analysis and can be reduced to these tasks. However, preference learning involves prediction of ordering of the data points rather than prediction of a single numerical value as in case of regression or a class label as in case of classification. Therefore, studying preference relations within a separate framework facilitates not only better theoretical understanding of the problem, but also motivates development of the efficient algorithms for the task. Preference learning has many applications in domains such as information retrieval, bioinformatics, natural language processing, etc. For example, algorithms that learn to rank are frequently used in search engines for ordering documents retrieved by the query. Preference learning methods have been also applied to collaborative filtering problems for predicting individual customer choices from the vast amount of user generated feedback. In this thesis we propose several algorithms for learning preference relations. These algorithms stem from well founded and robust class of regularized least-squares methods and have many attractive computational properties. In order to improve the performance of our methods, we introduce several non-linear kernel functions. Thus, contribution of this thesis is twofold: kernel functions for structured data that are used to take advantage of various non-vectorial data representations and the preference learning algorithms that are suitable for different tasks, namely efficient learning of preference relations, learning with large amount of training data, and semi-supervised preference learning. Proposed kernel-based algorithms and kernels are applied to the parse ranking task in natural language processing, document ranking in information retrieval, and remote homology detection in bioinformatics domain. Training of kernel-based ranking algorithms can be infeasible when the size of the training set is large. This problem is addressed by proposing a preference learning algorithm whose computation complexity scales linearly with the number of training data points. We also introduce sparse approximation of the algorithm that can be efficiently trained with large amount of data. For situations when small amount of labeled data but a large amount of unlabeled data is available, we propose a co-regularized preference learning algorithm. To conclude, the methods presented in this thesis address not only the problem of the efficient training of the algorithms but also fast regularization parameter selection, multiple output prediction, and cross-validation. Furthermore, proposed algorithms lead to notably better performance in many preference learning tasks considered.
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Tutkimukseni aiheena on tarkastella datanomiopiskelijoita sosiaalisen median käyttäjinä. Sosiaalisen median käyttö opetuksessa on nykypäivänä jo aika yleistä. Erilaisia sosiaalisen median keinoja käytetään jo kaikilla oppiasteilla. Opettajan on tärkeää tuntea eri palvelujen tarkoitukset ja soveltuvuus opetustilanteeseen. Työn tarkoitus on tutkia sosiaalisen median palveluja kuudesta eri näkökulmasta, jotka tukevat opetusta ja oppimista. Näitä ovat verkostoitumispalvelut, virtuaalimaailmat, sisällöllinen kirjoittaminen, verkko-oppimisympäristöt, videoverkkopalvelut ja verkkoviestintäpalvelut. Työssä tutkitaan Lappeenrannan Palvelualojen koulun datanomiopiskelijoiden sosiaalisen median palvelujen käyttämistä sekä kysytään käyttöaktiivisuutta ja mielipidettä palvelujen käyttämiseen opetuksessa. Tutkimustulokset antavat kuvan siitä, minkälaisia sosiaalisen median palveluja opiskelijat käyttävät. Tutkimus osoittaa, että datanomiopiskelijat käyttävät sosiaalisen median palveluja ahkerasti, erityisesti wikiä, blogia ja pikaviestimiä sekä Moodle-oppimisympäristöä. Tutkimuksen perusteella voidaan kehittää opetuksen laatua ja opetusmenetelmiä sosiaalisen median opetuskäyttöä tukevaksi. Opettajan rooli muuttuu sosiaalisen median palvelujen käytön myötä yhä enemmän ohjaavaksi ja tasa-arvoiseksi opiskelijoiden kanssa. Opetus muuttuu yhteisöllisemmäksi ja verkostoituneemmaksi. Opettajan ja opiskelijoiden vuorovaikutustaitojen merkitys korostuu. Myös tulevaisuuden haasteet ja ennen kaikkea mahdollisuudet nousevat esiin. Opetuksen suunnittelussa on hyvä pystyä huomioimaan uudet mahdollisuudet ja käyttää niitä kattavasti.
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Knowledge flow from the customers is an important resource for a company and therefore it should engage its customers in knowledge co-creation. Through providing a virtual customer environment (VCE) as knowledge creation and sharing platform a company can obtain this type of knowledge, which is important for strategic purposes. In the VCE the members of the virtual customer community (VCC) create and share knowledge individually and collectively in diverse roles, utilizing many interaction facilities. Creating a functional VCE is not either easy or quick task and a company needs to analyze various issues carefully. Providing such a VCE in which customers want to share their experiences and insights is however worth of considering, since it brings many benefits for the company. In this research the main benefit is stated as the supportative role of the VCE in the better management of the knowledge flow from the customers.
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Työssä tutustutaan erilaisiin e-portfoliojärjestelmiin, niiden ominaisuuksiin ja toiminnallisuuksiin sekä vertaillaan valittuja e-portfoliojärjestelmiä keskenään yhteensopivuuden ja -toimivuuden näkökulmasta yliopistomaailmassa. Tavoitteena on valita e-portfoliojärjestelmistä monipuolisin ja opiskelijaystävällisin järjestelmä. Järjestelmän tulee tukea opiskelijan elinikäistä oppimista. E-portfolio on sähköisessä muodossa oleva omien töiden kokoelma ja sitä hallitaan e-portfoliojärjestelmällä. E-portfoliojärjestelmissä tärkeässä roolissa ovat portfoliospesifikaatiot, jotka mahdollistavat e-portfolion siirtämisen sellaisenaan toiseen järjestelmään rajapintojen kautta. Työssä ei keskitytä henkilökohtaiseen oppimisympäristöön, joka on käsitteenä laajempi kuin e-portfolio. Työssä vertailtiin avoimeen lähdekoodiin perustuvia, web-pohjaisia e-portfoliojärjestelmiä ja tutkittiin niiden tarjoamaa mahdollisuutta portfolioiden siirtoon ja tuomiseen. Lisäksi tarkasteltiin järjestelmien integroituvuutta muihin järjestelmiin, kuten virtuaalisiin oppimisympäristöihin. Vertailun tuloksena monipuolisin ja opiskelijaystävällisin e-portfoliojärjestelmä on Mahara ja yleisin portfoliospesifikaatio Leap2A.
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Ammattikorkeakoulut ovat osa suomalaista innovaatiojärjestelmää. Niiden tärkeimpiä tuotteita ovat laadukkaat tutkinnot, joilla tuotetaan Suomen kilpailukyvyn kannalta olennaista osaavaa työvoimaa. Koulutusinnovaatioiden avulla ammattikorkeakoulut voivat parantaa opetuksen ja oppimisen laatua ja edistää opiskelijoiden parempaa osaamista. Tässä tutkimuksessa tarkasteltiin Kymenlaakson ammattikorkeakoulua innovatiivisena oppimisyhteisönä Hokkasen (2001) hahmotteleman innovatiivisen oppimisyhteisön profiilitekijöiden mukaisesti. Tutkimuksen tavoitteena oli selvittää, millainen innovatiivinen oppimisyhteisö KyAMK:ssa toteutuu opettajien kokemana, ja miten innovatiivisen oppimisyhteisön piirteitä voitaisiin edistää mainitussa organisaatiossa. Aineisto kerättiin haastattelemalla kymmentä KyAMK:n Tekniikan ja liikenteen toimialan opettajaa. Tulokset osoittivat Kymenlaakson ammattikorkeakoulun johdon sallivan innovatiiviset koulutuksen kehittämiseen tähtäävät toimet, mutta johto ei proaktiivisesti ohjannut ja kannustanut niihin. Ammattikorkeakouluopettajien pedagogisen autonomian todettiin olevan suurta. Tästä huolimatta kaivattiin yhteisöllisyyteen tukevia toimintamalleja, joiden avulla organisaatiossa oleva monialaisen työyhteisön innovaatiopotentiaali voitaisiin valjastaa opetuksen kehittämiseen ja organisaatiolta puuttuvan toiminnan kokonaiskuvan ja -ymmärryksen kehittämiseen. Osana yhteisöllisyyden kehittämistä aineistosta nousi esiin kehittämisehdotuksena pitkäjänteisemmän verkostoitumisen toteuttaminen niin organisaation sisällä kuin ulkopuolisten sidosryhmien kanssa.
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The aim of this master’s thesis was to examine antecedents of eWOM communication in social media in the higher education context. In order to achieve this goal, eWOM communications of the students’ of international master’s programmes at Lappeenranta University of Technology were studied. The main research question was formulated as follows: What kind of effect do service-, brand-related antecedents, contextual antecedents and moderating factors have on LUT’s international master’s degree students’ eWOM communication in social media regarding their studies? The theory part of the master’s thesis was focused on the discussion of service- and brand related eWOM antecedents, contextual antecedents, as well as moderating relationships between them. The empirical part of the master’s thesis was based on quantitative research method. A web-based survey was carried out among current students of international master’s degree programmes at LUT. Out of 712 e-mail invitations sent, 159 responses were received in total. Thus, response rate was 22%. The results of the study showed that satisfaction, commitment, virtual brand community commitment, need for an advice, positive altruistic concerns, negative altruistic concerns, and attitude towards eWOM communications have an effect on eWOM in higher education context. Several moderating effects on eWOM were determined in the present study as well. On the other hand, it was found that dissatisfaction, loyalty, brand identification, desire to help the organization, need for positive self-enhancement, and social risk perception do not have an effect on eWOM in higher education context.
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The aim of this study was to gain a deeper understanding of the learning experiences of upper secondary school students in a virtual learning environment. The focus of the study is younger students aged 16–18. Virtual learning environments are defined as collaborative, interactive and communicative digital environments. The main research question was to distinguish the meaning of learning given by the participants. Did the participants perceive learning potential in the virtual learning environment, and if so, what signifies learning potential? Sub-questions were: What enhances learning? What might inhibit learning in a distance course? How do the participants relate to their role as distant learners? Four upper secondary schools in Finland took part in the study. Thirteen upper secondary students were interviewed after a distance course in social studies. During the analysis, four main categories were identified: responsibility, freedom, time and communication. A constructivist approach to learning was adopted while analysing the interviews, and the categories were understood through cognitive, affective and social dimensions of learning. The implications of the study are that a student-centred pedagogy and a social constructivist course design have the potential to motivate students to interact to learn, while the software, such as Second Life, Google+ and Wikibooks, offers them the possibility to do so. The study introduces an empirically supported concept, virtual learning. Virtual learning assumes an active learner who manages different learning spaces while communicating with people and metacognitively assessing the learning process. At the same time, students get used to the virtual and everchanging nature of information and knowledge.
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Consumers create a great deal of content in the Internet. As they do not get a monetary compensation for doing so, it seems apparent that other types of reward are derived from giving up one's time and other resources. The purpose of this study is to describe value creation and user participation in a virtual community. It can be broken down into three research questions. 1. What is the value creation logic of a virtual community? 2. What value is perceived by virtual community users? 3. What is the association between value perceived by virtual community users and their participation in a community? The study employs the discussion on value co-creation as well as perspectives on the notion of value for consumers to create a theoretical framework for value creation. To understand value creation in the context of virtual communities and to create a theoretical framework for user participation, existing literature and research on virtual communities is discussed. The empirical part of the study employs quantitative methodology to analyze data collected by sending a survey questionnaire to the users of a Finnish wellbeing-based virtual community. The results indicate that virtual community users perceive self-development, enjoyment, reputation-building and community commitment value when using the service and that value perceptions are associated with community participation. Moreover, it was found that different types of value are associated with different forms of participation. Based on the findings, it is suggested that the four types of value make up a considerable share of value for virtual community users. Moreover, as the results indicate that different value types are associated with different forms of participation, it suggested that virtual community organizers consider what forms of participation they want to promote and design their virtual communities to support creation of the different types of value accordingly.
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The purpose of this thesis is to examine what elements of value co-creation create value for participants of Oma Olivia magazine through Olivia magazine’s virtual community environment. Furthermore the aim is to discover why readers take part in creating Oma Olivia in order to discover is Oma Olivia worth publishing in the future. The data is collected from secondary and primary sources by scanning the existing academic literature and by conducting interviews and surveys. The empirical results state that the hypothesis model created from the academic literature is statistically significant and the elements of value co- creation process create value for readers. Magazine publishing organization may want to consider publishing Oma Olivia also in the future due to its nature of creating value for customers.
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The Internet has transformed the scope, boundaries and dynamics of social and economic interactions. It is argued to have broadened the notion of the community from physical, colocated groups towards collectives that are able to transcend time and space, i.e. virtual communities. Even if virtual communities have been on the academic agenda for a couple of decades, there is still surprisingly little research on knowledge sharing within them. In addition, prior research has largely neglected the complex dynamics between Internet-based communication channels and the surrounding communities in which they are embedded. This thesis aims at building a better understanding of knowledge sharing supported by conversational technologies in intra-organisational virtual communities and external virtual communities supporting relationships with customers. The focus is thus on knowledge sharing in types of virtual communities that seem to be of relevance to business organisations. The study consists of two parts. The first part introduces the research topic and discusses the overall results. The second part comprises seven research publications. Qualitative research methods are used throughout the study. The results of the study indicate that investigation of the processes of knowledge sharing in virtual communities requires a socio-technical perspective, combining the individual, social and technological levels, and understanding the interplay between them. It is claimed that collective knowledge in virtual communities creates the enabling structure for knowledge sharing, and forms the invisible structure of the community on the basis of which it operates. It consists of a shared context, social capital and a unique community culture. The Internet does not inevitably erode social interaction: it seems that supporting social relationships by means of communication technology is a matter of quantity rather than quality. In order to provide access to external knowledge and expertise, firms need to open themselves up to an array of Internet-based conversations, and to consider the relevance of virtual communities to their businesses.