PRACTICAL USES OF ARTIFICIAL INTELLIGENCE IN EDUCATION INSPECTION

Abstract

Artificial Intelligence (AI) is transforming various sectors, including Educational Inspection. This article explores the practical uses of AI in this field, highlighting its potential to optimize supervision, evaluation, and advisory functions. It addresses the definition and evolution of AI and demystifies its capabilities, emphasizing that it does not possess human intelligence or moral judgment, and that it can amplify biases if training data is biased. Practical applications are presented, such as the automation of reports, the generation of summaries of regulatory documents and multimedia resources, analysis and interrogation of regulations, and the prediction of school failure through educational data mining. The importance of creating "good prompts" for effective interaction with AI is detailed, providing examples and keys for their construction. Likewise, practical cases with custom GPT from OpenAI ChatGPT and specialized tools such as Google NotebookLM for personalized regulation search and information synthesis are discussed. Finally, ethical considerations and the framework for responsible use of AI are analyzed, underscoring the crucial role of Educational Inspection as a guarantor of ethical implementation aligned with the principles of equity and inclusion. The conclusions propose future lines of action in training, development of adapted tools, establishment of regulatory and ethical frameworks, research, collaboration, and promotion of responsible use of AI for quality and equitable education.