Browsing by Subject "information privacy"

Now showing 1 - 3 of 3
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    Learning Analytics and the Academic Library: Professional Ethics Commitments at a Crossroads
    (ACRL, 2018) Jones, Kyle M. L.; Library and Information Science, School of Informatics and Computing
    In this paper, the authors address learning analytics and the ways academic libraries are beginning to participate in wider institutional learning analytics initiatives. Since there are moral issues associated with learning analytics, the authors consider how data mining practices run counter to ethical principles in the American Library Association’s “Code of Ethics.” Specifically, the authors address how learning analytics implicates professional commitments to promote intellectual freedom; protect patron privacy and confidentiality; and balance intellectual property interests between library users, their institution, and content creators and vendors. The authors recommend that librarians should embed their ethical positions in technological designs, practices, and governance mechanisms.
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    Library Assessment and Data Analytics in the Big Data Era: Practice and Policies
    (Wiley, 2015) Chen, Hsin-liang; Doty, Philip; Mollman, Carol; Niu, Xi; Yu, Jen-chien; Zhang, Tao; Department of Library and Information Science, School of Informatics and Computing
    Emerging technologies have offered libraries and librarians new ways and methods to collect and analyze data in the era of accountability to justify their value and contributions. For example, Gallagher, Bauer and Dollar (2005) analyzed the paper and online journal usage from all possible data sources and discovered that users at the Yale Medical Library preferred the electronic format of articles to the print version. After this discovery, they were able to take necessary steps to adjust their journal subscriptions. Many library professionals advocate such data-driven library management to strengthen and specify library budget proposals.
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    New Methods, New Needs: Preparing Academic Library Practitioners to Address Ethical Issues Associated with Learning Analytics
    (ALISE, 2020-10) Jones, Kyle M. L.; Janicke Hinchliffe, Lisa; Library and Information Science, School of Informatics and Computing
    Academic libraries are participating in the collection and analysis of student data. Under the umbrella of learning analytics, these practices are directed toward developing an understanding of how libraries contribute to student learning, the educational experience, and efficient operations of academic institutions. Learning analytics, however, is loaded with ethical issues, which are complicated by privacy-related values espoused by library practitioners. This work-in-progress paper discusses emerging findings from a survey of academic library practitioners. The survey identifies what ethical issues practitioners associate with leaning analytics and the degree to which they are prepared to address such issues.