ARTIFICIAL INTELLIGENCE IN THE CLASSROOM: THEORETICAL AND PRACTICAL CONSIDERATIONS

Artificial intelligence (AI) is transforming how knowledge is created, accessed, and shared in education. The integration of AI into teaching and learning environments reshapes key areas such as personalised learning, automated assessment and feedback, virtual tutoring, and administrative automation. Core technologies including machine learning, deep learning, and natural language processing enable adaptive learning experiences, intelligent content generation, and efficient management of educational processes. In combination with emerging technologies such as augmented reality, virtual reality, and 3D printing, AI supports interactive, creative, and experiential learning. Furthermore, this concept paper analyses how AI interacts with other emerging technologies, including augmented reality, virtual reality, and 3D printing, to foster interactive and experiential learning environments. Ethical challenges such as privacy, equity of access, algorithmic bias, and transparency are also critically examined. The findings highlight the need for responsible and inclusive implementation of AI in education to maximise its benefits and mitigate potential risks.