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Introduced in 1991, Kuhlthau's model of the Information Search Process (ISP) describes feelings, thoughts and actions in six stages of information seeking. [4] [5] The model of the ISP introduced the holistic experience of information seeking from the individual’s perspective, stressed the important role of affect in information seeking and proposed an uncertainty principle as a conceptual ...
The phrase "information literacy" first appeared in print in a 1974 report written on behalf of the National Commission on Libraries and Information Science by Paul G. Zurkowski, who was at the time president of the Information Industry Association (now the Software and Information Industry Association). Zurkowski used the phrase to describe ...
Data literacy is the ability to read, understand, create, and communicate data as information. Much like literacy as a general concept, data literacy focuses on the competencies involved in working with data. [1] It is, however, not similar to the ability to read text since it requires certain skills involving reading and understanding data. [2]
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Historically, "information literacy" has largely been seen from the relatively top-down, organisational viewpoint of library and information sciences. [17] However the same term is also used to describe a generic "information literacy" skill. [17] The modern digital age has led to the proliferation of information spread across the Internet.
Information and communication technology literacy (ICT) is an example of a modern approach to library instruction. [9] ICT extends information literacy to the use of computer technology in a variety of forms to manipulate, deliver, and receive information and ideas. A model library instruction program utilizes complementary tools and resources ...
Metaliteracy is the ability to evaluate information for its bias, reliability, and credibility and apply them in the context of production and sharing of knowledge. It is especially useful in the context of the internet and social media. [1]
Information visualization, on the other hand, deals with multiple, large-scale and complicated datasets which contain quantitative (numerical) data as well as qualitative (non-numerical, i.e. verbal or graphical) and primarily abstract information and its goal is to add value to raw data, improve the viewers' comprehension, reinforce their ...