In recent years, the integration of artificial Intelligence (AI) in education has gained global attention, with a focus on enhancing STEM education and addressing the underrepresentation of females in these fields. AI, which encompasses machine learning, speech recognition, and natural language processing, is reshaping industries and societies, and its impact is extending into education. Schools and institutions have recognized the need for AI education, incorporating concepts like perception, learning, and social influence into curricula. However, the implementation of AI requires thoughtful consideration of age-appropriate tools and the balance between simplifying AI concepts for students while solving real-world problems. In STEM education, AI applications can assist in creating personalized learning environments, enabling teachers to assess student performance and behavior. AI chatbots, available 24/7, are becoming a valuable resource for programming education, offering personalized assistance. Despite their advantages, concerns about privacy, reduced human interaction, and the decline of critical thinking persist. In countries like South Korea, China, and Japan, national curricula have integrated AI education, with South Korea advancing AI programs from primary to secondary schools. However, challenges remain, including teacher competence in AI-related subjects like machine learning and AI ethics. The article discusses the role of AI in student assessment, particularly in the UK, where AI-based algorithms were used to predict student performance during the pandemic. It highlights the benefits and risks of AI in education, emphasizing the need for AI literacy and ethical guidelines to ensure responsible AI use in schools worldwide.

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Latest Achievements on the Application of AI in Stem Education

  • Amra Bratovcic

摘要

In recent years, the integration of artificial Intelligence (AI) in education has gained global attention, with a focus on enhancing STEM education and addressing the underrepresentation of females in these fields. AI, which encompasses machine learning, speech recognition, and natural language processing, is reshaping industries and societies, and its impact is extending into education. Schools and institutions have recognized the need for AI education, incorporating concepts like perception, learning, and social influence into curricula. However, the implementation of AI requires thoughtful consideration of age-appropriate tools and the balance between simplifying AI concepts for students while solving real-world problems. In STEM education, AI applications can assist in creating personalized learning environments, enabling teachers to assess student performance and behavior. AI chatbots, available 24/7, are becoming a valuable resource for programming education, offering personalized assistance. Despite their advantages, concerns about privacy, reduced human interaction, and the decline of critical thinking persist. In countries like South Korea, China, and Japan, national curricula have integrated AI education, with South Korea advancing AI programs from primary to secondary schools. However, challenges remain, including teacher competence in AI-related subjects like machine learning and AI ethics. The article discusses the role of AI in student assessment, particularly in the UK, where AI-based algorithms were used to predict student performance during the pandemic. It highlights the benefits and risks of AI in education, emphasizing the need for AI literacy and ethical guidelines to ensure responsible AI use in schools worldwide.