Title

Information Literacy in the Age of Machines that Learn: Desiderata for Machines that Teach

Publication Title

Libri: International Journal of Libraries and Information Studies

Publication Date

6-26-2018

Document Type

Article

DOI

doi.org/10.1515/libri-2017-0025

Keywords

machine learning, context literacy, information search process, guided inquiry

Disciplines

Information Literacy | Library and Information Science | Social and Behavioral Sciences

Abstract

With the use of machine learning and other advances, modern information search systems make it easy for searchers to access information to meet their most frequent information needs. Building from Kuhlthau’s concepts of exploration and differentiating, this article argues that along with the benefits of greater accessibility, these advances impede the development of information literacy, conceptualized as processes for planning, accessing, judging and communicating information. It is argued that information literacy emerges during interaction with search systems and modern system designs hide or render unworkable the contextual information needed for the judgment processes of information literacy. In response to these concerns, the article contributes desiderata for new designs that facilitate the discovery, navigation and use of context information.

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