Teachers' and Students' Attitudes towards Personalized Learning in the Era of Artificial Intelligence

Abstract

Personalized learning is a learning approach aims to customize learning according to the individual needs, goals, and skills of learners. The rapid advancement of artificial intelligence has greatly contributed to the development of the educational process; gradually helping personalized learning to replace traditional teaching methods. In many EFL classes, students may have different learning styles and preferences. In order to facilitate learning and meet students' needs, teachers have begun to use personalized learning. The present dissertation aims at exploring the attitudes of both teachers and students towards Personalized Learning in the Era of Artificial Intelligence. In order to meet this aim a combination of quantitative and qualitative descriptive methods was used. Two questionnaires were employed one was provided to 122 First - Year Master students randomly chosen from the whole population; and one was administered to 19 First -Year Master teachers from the Department of Letters and English Language at the University of 8 Mai 1945- Guelma. The analysis and interpretation of the collected data revealed positive attitudes among teachers and students towards PL approach in the Era of Artificial Intelligence.