Pedagogical suggestions for an effective application of artificial intelligence (AI) in teaching reading skill a case study of students from french faculty at Hanoi National University of Education (HNUE)

Abstract

The integration of Artificial Intelligence (AI) in education is revolutionizing the teaching and learning process, particularly in foreign language acquisition. This study explores pedagogical strategies for effectively utilizing AI to enhance reading skills among French learners at the French Faculty of Hanoi National University of Education (HNUE). AI tools such as personalized learning platforms, intelligent tutoring systems, and natural language processing (NLP) offer tailored learning experiences and real-time feedback that support individual student needs. The paper highlights key AI applications in reading instruction, including adaptive learning, scaffolded support, and formative assessment. Additionally, it addresses the challenges of AI implementation, such as digital literacy, teacher training, and the balance between AI and human interaction. By adopting these pedagogical strategies, educators can optimize the use of AI to improve reading comprehension and foster autonomous learning among French language students.