Zobrazeno 1 - 10
of 152
pro vyhledávání: '"Freund, Luanne"'
Autor:
Freund, Luanne
Increasingly, workplace information seeking takes place in digital information environments and is reliant upon search systems. Existing systems are designed to retrieve information that is relevant to the query, but are not capable of identifying in
Externí odkaz:
http://hdl.handle.net/1807/16762
Publikováno v:
Freund, Luanne and Toms, Elaine G. and Waterhouse, Julie Modeling the Information Behaviour of Software Engineers Using a Work-Task Framework., 2005 . In 68th Annual Meeting of the American Society for Information Science and Technology (ASIST), Charlotte (US), 28 October - 2 November 2005. [Conference paper]
Faced with the rapid proliferation of digital information resources within organizations, employees need targeted search systems in order to be effective in their jobs. The goal of this study is to develop a model of information behaviour within a wo
Externí odkaz:
http://eprints.rclis.org/6905/
Autor:
Freund, Luanne
Publikováno v:
In Information Processing and Management September 2013 49(5):1108-1121
Student perceptions of the information professions and their master's program in information studies
Publikováno v:
In Library and Information Science Research 2011 33(2):120-131
Publikováno v:
In International Journal of Information Management 2011 31(1):21-29
Autor:
Matsubayashi, Mamiko1 mamiko@slis.tsukuba.ac.jp, Freund, Luanne2 luanne.freund@ubc.ca
Publikováno v:
Proceedings of the Association for Information Science & Technology. 2019, Vol. 56 Issue 1, p730-732. 3p.
Autor:
Stoeckle, Marc1, Freund, Luanne2
Publikováno v:
Proceedings of the Association for Information Science & Technology. 2016, Vol. 53 Issue 1, p1-4. 4p.
Publikováno v:
Proceedings of the Association for Information Science & Technology. 2016, Vol. 53 Issue 1, p1-4. 4p.
Autor:
Bogers, Toine, Dodson, Samuel, Freund, Luanne, Gäde, Maria, Hall, Mark, Koolen, Marijn, Petras, Vivien, Pharo, Nils, Skov, Mette
Externí odkaz:
https://hdl.handle.net/10642/7005
Video-based learning is increasingly common in higher education; however, the video players available make limited use of logged interaction data to support and guide students’ viewing. In this work in progress, we explore the feasibility of aggreg
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b74418b16a5edc5f9e22159e8d6559d0