Exploring different notions of literacy: a literature review analysis of literacy research related to Artificial Intelligence and Big Data application

Abstract

Abstract Artificial Intelligence (AI) and Big Data projects have been rapidly applied by organizations and adopted by younger users, leading to an increasing number of various capacity building applications, as well as significant impacts on the well-being of both designers and users. This research presents a review of literacy-related literature on “Big Data”, “Artificial Intelligence”, “Machine Learning”, based on 73 articles retrieved from the Web of Science Database. The author produced a keyword co-occurrence network map highlighting three main domains: digital literacy, information literacy, and data literacy. This paper concluded that data and information literacy share similar semantic networks whereas digital literacy is related more to pedagogy and innovations, while being the more distant node from both data and information literacy. For stakeholders such as educators, academic researchers, and policymakers, the paper provides reference points for understanding technological literacy and the current relationship among key literacy concepts and domains in relation to AI and Big Data