Analysis on Concept of AI Literacy According and Future Education to the Result of Systematic Review

Abstract

Introduction: AI is booming, and AI literacy has become a core competency necessary for exceptional talent. Therefore, how to promote national AI literacy in future education has become a global focus. Thus, this study uses a systematic review method to explore the definition and needs of AI literacy, frameworks, and literature on future education to summarize and analyze. The results show that the definition of AI literacy has not been standardized, AI literacy is a necessary skill for people, the scope of the application still needs to be further subdivided, as well as the education model in the future needs to be reformed as well. The results of the study not only contribute to the in-depth development of AI literacy theories but also provide insights and guidance to relevant organizations, as well as contribute to the establishment of sustainable development, which is of value and contribution. Finally, it is suggested that future research should explore more about the definition and scope of AI literacy, to fully promote the development of the theory and thus enhance the core skills that citizens must possess. Objective: The purpose of this study is to use a systematic review method to sort out the relevant literature from 3 aspects: concept, scope, and future education to clarify the research lineage and reflect the current status of AI literacy research. Theoretical Framework: This study uses a systematic review approach to explore the current state of AI literacy research. Method: This study adopts the systematic review method to collect research results systematically and comprehensively, evaluates the literature according to the principles and methods set in advance, and analyses the literature that meets the criteria after screening it, so as to obtain comprehensive conclusions. Results and Discussion: AI technology offers a whole new range of possibilities for education, changing the traditional teaching mode and learning experience, including providing personalized learning, instructional support and aids, teaching Management and Decision Support, distance education and online learning, language learning and special education, enrichment and diversity of educational resources, and coping with the future. Research Implications: By comprehensively and systematically analyzing the concept, scope, and three aspects of future education of AI literacy, this study not only contributes to the in-depth development of this theory but, at the same time, has certain practical implications and also provides practical insights and guidance for relevant organizations. Originality/Value: This study uses the systematic review method to comprehensively and systematically analyze the concept, scope, and future education of AI literacy in three aspects, which systematically illustrate the current status and dilemma of AI literacy and effectively promote the development of AI literacy with great contribution.