SOCIAL STUDIES LEARNING APPROACHES FOR FOSTERING DEMOCRATIC CITIZENSHIP IN THE DIGITAL AGE: A SYNTHESIS OF ARTIFICIAL INTELLIGENCE (AI) APPLICATIONS BASED ON DELIBERATIVE DEMOCRACY

Abstract

The rapid development of digital technology and artificial intelligence (AI) has had a widespread impact on communication, access to information, and citizens' social participation. At the same time, these developments have posed significant challenges to the development of democratic citizenship in a digital society. This article aims to synthesise relevant concepts and propose approaches for applying artificial intelligence to enhance democratic citizenship in the digital age, based on the concepts of deliberative democracy and digital citizenship. This article employs a documentary research approach combined with document synthesis. Relevant documents, concepts, theories, and academic literature concerning deliberative democracy, digital citizenship, and AI-supported civic learning were reviewed and synthesised. The synthesised findings were used to develop an analytical framework for teachers, lecturers, and educational personnel to support social studies learning management aimed at fostering democratic citizenship among students and other interested individuals. The findings indicate that democratic citizenship in the digital age comprises five key competencies: (1) civic information literacy; (2) democratic reasoning; (3) deliberative communication; (4) civic participation; and (5) responsible AI citizenship. Furthermore, the article synthesised approaches for applying artificial intelligence to democratic citizenship learning, consisting of five key processes: searching for and analysing public information, evidence-based reflection, constructive discussion and exchange of ideas, developing proposals for public participation, and the responsible use of artificial intelligence. These processes are integrated into the DCAI Framework (Democratic Citizenship in the Age of AI Framework), which serves as a guideline for social studies learning management to promote democratic citizenship in the digital age.

The key findings of the proposed framework provide an important basis for transforming traditional civic education into technology-informed teaching practices that keep pace with advances in digital technologies. Such transformation can contribute to strengthening democratic citizenship and enhancing the quality of democratic society in the digital age.