Track: Artificial Intelligence

Abstract

The use of Artificial Intelligence (AI) in education has received increasing attention in recent years. AI has been used to enhance personalized learning, feedback, and student evaluation. However, there are challenges and limitations associated with its use, such as the quality of data used and the need for training and skill development for educators and students. In the last 5 years, there has been an exponential increase in interest in the use of AI in education, and the top 20 cited articles cover a wide range of topics related to the application of AI in education. One area of focus is the use of AI in early prediction of academic failure. AI can help identify students at risk of dropping out of school by analyzing large amounts of data such as grades, attendance, classroom behavior, and other factors that may affect academic performance. In conclusion, AI offers great potential to improve the efficiency and effectiveness of the teaching-learning process in education by providing personalized and adaptive feedback to students, provided that the challenges and limitations are effectively addressed and transparency and ethics in its use are ensured. AI can be a valuable tool to improve education and prepare students for the future.