scholarly journals Learning Analytics And An Evaluation Specific To University Libraries

2021 ◽  
Author(s):  
Coşkun POLAT ◽  
Ertuğrul Burak EROĞLU
Keyword(s):  
Learning Analytics ◽  
University Libraries

scholarly journals Are Norwegian Librarians ready to share Library Data to improve Learning?

2018 ◽  
Vol 10 (1) ◽  
pp. 4-17 ◽  
Author(s):  
Tore Hoel ◽  
Weiqin Chen ◽  
Anne-Berit Gregersen
Keyword(s):  
Big Data ◽  
Literature Review ◽  
Professional Ethics ◽  
Learning Analytics ◽  
Teaching And Learning ◽  
Personal Information ◽  
Third Parties ◽  
University Libraries ◽  
Library Community ◽  
Share Data

University libraries offer services that generate data about how students and faculty use knowledge sources and engage with teaching and learning. In an era of Big Data there is mounting pressure to use these data, something that challenges the professional ethics of librarians. This paper explores how Norwegian librarians position themselves in relation to the new phenomenon of learning analytics, which would like to process library data to help improve learning and its contexts. A literature review shows that librarians in general are highly sceptical to let any information that is not anonymised out of their hands to be used by other professions. However, library data is increasingly being shared with third parties as part of development of library systems and practices.  In a survey presented in this paper Norwegian librarians were asked about their willingness to take part in analytics and data sharing. The findings show that even if librarians in general do not want to share data that reveals personal information, their resistance will depend on the consent of the students, and to which degree librarians themselves are involved in processing and analysis of the data. This study identifies learning analytics as a field the library community should engage with, and the authors give their advice on what should be focussed to sustain librarians’ professional ethics related to use of library data.

Management of Libraries in Colleges Affliated to Bharathiyar University Libraries

2012 ◽  
Vol 3 (8) ◽  
pp. 125-126
Author(s):  
T. Kavitha T. Kavitha ◽  
◽  
Dr. S. Jayaraman Dr. S. Jayaraman
Keyword(s):  
University Libraries

Learning Analytics Considered Harmful

2012 ◽  
Vol 16 (3) ◽  
Author(s):  
Laurie P Dringus
Keyword(s):  
Big Data ◽  
Online Learning ◽  
Learning Analytics ◽  
Online Courses ◽  
Research Community ◽  
Current Status ◽  
Online Course ◽  
Full Potential

This essay is written to present a prospective stance on how learning analytics, as a core evaluative approach, must help instructors uncover the important trends and evidence of quality learner data in the online course. A critique is presented of strategic and tactical issues of learning analytics. The approach to the critique is taken through the lens of questioning the current status of applying learning analytics to online courses. The goal of the discussion is twofold: (1) to inform online learning practitioners (e.g., instructors and administrators) of the potential of learning analytics in online courses and (2) to broaden discussion in the research community about the advancement of learning analytics in online learning. In recognizing the full potential of formalizing big data in online coures, the community must address this issue also in the context of the potentially "harmful" application of learning analytics.

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