Revolutionizing AI in Education: A Review of Ethical Challenges and Frontiers, Louiza BELAID, Liliana MÂȚĂ

Abstract

AI driven language learning platforms and applications have revolutionized traditional teaching methods by offering interactive and adaptable tools. These platforms provide personalized study schedules and appropriate materials using natural language processing (NLP) and machine learning algorithms based on the participants’ proficiency level, learning preferences and skills. The integration of AI in foreign language education through virtual reality (VR) and augmented reality (AR) enables immersive learning experiences. With the help of such interactive virtual
environments, our students may practice their speaking skills in authentic contexts while gaining a greater awareness of cultures. AI also has an impact on language assessment since automated evaluation systems examine students’ spoken and written language. Immediate feedback on pronunciation, grammar and proficiency enables targeted interventions to effectively address specific knowledge gaps. AI-driven language translation services help overcome language barriers, fostering intercultural dialogue and international cooperation. These programs help people with different linguistic origins to exchange ideas, promoting multi-cultural understanding and fostering a more interconnected network. However, the use of AI in language learning raises ethical concerns, including data privacy and biases in language models. To ensure responsible and efficient foreign language learning, it is crucial to balance maximizing AI’s potential with addressing its challenges. AI’s revolutionizes foreign language education by making it more individualized, immersive, and inclusive for students with different learning styles. In this regard, teachers’ role is decisive in unleashing AI’s full potential to foster linguistic competency and embrace a linked global community by its conscious and ethical use.

Key words: AI platform; ethics issues; foreign language learning; linguistic competency; multicultural understanding