1 resultado para in-tandem learning
em Illinois Digital Environment for Access to Learning and Scholarship Repository
Filtro por publicador
- JISC Information Environment Repository (1)
- Repository Napier (2)
- Aberystwyth University Repository - Reino Unido (6)
- Academic Archive On-line (Stockholm University; Sweden) (1)
- Adam Mickiewicz University Repository (1)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (3)
- AMS Tesi di Laurea - Alm@DL - Università di Bologna (1)
- Aquatic Commons (1)
- ArchiMeD - Elektronische Publikationen der Universität Mainz - Alemanha (4)
- Archive of European Integration (1)
- Aston University Research Archive (45)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (5)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (4)
- Biblioteca Digital de Teses e Dissertações Eletrônicas da UERJ (1)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (32)
- Boston University Digital Common (3)
- Brock University, Canada (22)
- Bucknell University Digital Commons - Pensilvania - USA (2)
- Bulgarian Digital Mathematics Library at IMI-BAS (19)
- CaltechTHESIS (4)
- Cambridge University Engineering Department Publications Database (26)
- CentAUR: Central Archive University of Reading - UK (35)
- Chinese Academy of Sciences Institutional Repositories Grid Portal (11)
- Cochin University of Science & Technology (CUSAT), India (2)
- Comissão Econômica para a América Latina e o Caribe (CEPAL) (2)
- CORA - Cork Open Research Archive - University College Cork - Ireland (6)
- Corvinus Research Archive - The institutional repository for the Corvinus University of Budapest (3)
- CUNY Academic Works (1)
- Dalarna University College Electronic Archive (10)
- Deakin Research Online - Australia (183)
- DI-fusion - The institutional repository of Université Libre de Bruxelles (2)
- Digital Commons - Michigan Tech (3)
- Digital Commons @ DU | University of Denver Research (1)
- Digital Commons at Florida International University (17)
- Digital Peer Publishing (13)
- DigitalCommons@The Texas Medical Center (10)
- DigitalCommons@University of Nebraska - Lincoln (3)
- Doria (National Library of Finland DSpace Services) - National Library of Finland, Finland (1)
- DRUM (Digital Repository at the University of Maryland) (1)
- Duke University (5)
- eResearch Archive - Queensland Department of Agriculture; Fisheries and Forestry (1)
- Escola Superior de Educação de Paula Frassinetti (1)
- Greenwich Academic Literature Archive - UK (9)
- Helda - Digital Repository of University of Helsinki (12)
- Illinois Digital Environment for Access to Learning and Scholarship Repository (1)
- Indian Institute of Science - Bangalore - Índia (14)
- Institute of Public Health in Ireland, Ireland (1)
- Instituto Politécnico de Bragança (1)
- Instituto Politécnico de Viseu (1)
- Instituto Politécnico do Porto, Portugal (9)
- Massachusetts Institute of Technology (4)
- Ministerio de Cultura, Spain (5)
- National Center for Biotechnology Information - NCBI (20)
- Open University Netherlands (5)
- Portal de Revistas Científicas Complutenses - Espanha (6)
- Publishing Network for Geoscientific & Environmental Data (2)
- QSpace: Queen's University - Canada (2)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (37)
- Queensland University of Technology - ePrints Archive (176)
- ReCiL - Repositório Científico Lusófona - Grupo Lusófona, Portugal (1)
- Repositório Científico da Escola Superior de Enfermagem de Coimbra (1)
- Repositório Digital da UNIVERSIDADE DA MADEIRA - Portugal (1)
- Repositório Digital da Universidade Municipal de São Caetano do Sul - USCS (1)
- Repositório Institucional da Universidade de Aveiro - Portugal (3)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (27)
- Repositorio Institucional UNISALLE - Colombia (1)
- Research Open Access Repository of the University of East London. (3)
- RUN (Repositório da Universidade Nova de Lisboa) - FCT (Faculdade de Cienecias e Technologia), Universidade Nova de Lisboa (UNL), Portugal (3)
- School of Medicine, Washington University, United States (1)
- Universidad de Alicante (4)
- Universidad del Rosario, Colombia (2)
- Universidad Politécnica de Madrid (20)
- Universidade Complutense de Madrid (1)
- Universidade de Lisboa - Repositório Aberto (4)
- Universidade de Madeira (1)
- Universidade Federal do Rio Grande do Norte (UFRN) (1)
- Universitat de Girona, Spain (2)
- Universitätsbibliothek Kassel, Universität Kassel, Germany (1)
- Université de Lausanne, Switzerland (1)
- Université de Montréal (1)
- Université de Montréal, Canada (11)
- University of Connecticut - USA (1)
- University of Michigan (5)
- University of Queensland eSpace - Australia (20)
- University of Southampton, United Kingdom (3)
- University of Washington (5)
- WestminsterResearch - UK (11)
- Worcester Research and Publications - Worcester Research and Publications - UK (4)
Resumo:
As a way to gain greater insights into the operation of online communities, this dissertation applies automated text mining techniques to text-based communication to identify, describe and evaluate underlying social networks among online community members. The main thrust of the study is to automate the discovery of social ties that form between community members, using only the digital footprints left behind in their online forum postings. Currently, one of the most common but time consuming methods for discovering social ties between people is to ask questions about their perceived social ties. However, such a survey is difficult to collect due to the high investment in time associated with data collection and the sensitive nature of the types of questions that may be asked. To overcome these limitations, the dissertation presents a new, content-based method for automated discovery of social networks from threaded discussions, referred to as ‘name network’. As a case study, the proposed automated method is evaluated in the context of online learning communities. The results suggest that the proposed ‘name network’ method for collecting social network data is a viable alternative to costly and time-consuming collection of users’ data using surveys. The study also demonstrates how social networks produced by the ‘name network’ method can be used to study online classes and to look for evidence of collaborative learning in online learning communities. For example, educators can use name networks as a real time diagnostic tool to identify students who might need additional help or students who may provide such help to others. Future research will evaluate the usefulness of the ‘name network’ method in other types of online communities.