Transforming School Education with Artificial Intelligence (AI): Current Approaches and Implications
Keywords:
Artificial intelligence, AI, school education, machine learning, deep learning, data science, intelligent tutoring systems, personalised learning platforms, AI-driven assessment tools, computational thinking, ethical considerations, teacher training, curriculum development, interdisciplinary integration, successful AI education programs, best practicesAbstract
Artificial intelligence (AI) has transformed the education system with the help of technology, thus affecting different aspects of human life. This paper gives a general idea of AI in school education in the current scenario, focusing on approaches such as data science, machine learning and deep learning. It explores the historical integration of AI in schools, highlighting initiatives undertaken and approaches related to AI, and emphasises the disciplinary aspect of AI education. The practice of AI in education and its implications such as teacher training, curriculum development, interdisciplinary integration and ethical considerations are discussed in this paper. By examining examples and best practices, this paper underscores the potential of AI to enhance teaching, learning, and administrative processes, while recognising the challenges and ethical considerations that need to be addressed for responsible AI education implementation.
