THE ARTIFICIAL INTELLIGENCE, SOCIAL SCIENCES LEARNING INNOVATION CATALYST

Abstract

Digital technology and artificial intelligence (AI) development has opened up new educational opportunities, including social education studies. In this digital era, improving learning quality is becoming increasingly urgent. Social education studies, which aim to shape students' understanding of society, geography, and citizenship skills, face various challenges, ranging from a lack of student engagement to limited resources. AI technology offers innovative solutions through personalized learning, quick feedback, and a dynamic learning environment. AI-based learning supports lifelong education, providing easy access to online resources for all age groups. This research aims to analyze the potential of AI in social education studies by identifying relevant AI applications, evaluating the impact of AI implementation, and developing AI-based learning models. In addition, the study identifies challenges, formulates strategies to overcome them, and formulates policy recommendations for educators and technology developers. The method used is qualitative analysis through a literature review from journals, books, and related articles in the last ten years. The study results show that AI has great potential to improve the quality of social learning studies by providing programs tailored to student needs, analyzing learning history, and developing better learning materials. Examples of AI applications in education include ChatGPT for natural language processing, AI-based learning systems, virtual assistants, and educational data analysis. With wise application, AI can improve student engagement, material comprehension, and analytical skills and prepare them for a connected and adaptive future to changing times.

Keywords: Artificial Intelligence, Social Sciences Education, Learning Innovation.