New paradigms in artificial intelligence and language education: An examination of little language lessons

Abstract

This study examines the transformative potential of artificial intelligence in language education through a descriptive analysis of the Little Language Lessons application developed by Google Labs. The research employs qualitative methods, specifically document analysis and descriptive analysis, with the application serving as the primary document for examination. The analysis reveals that the application uses artificial intelligence to overcome rote learning, instead creating contextually rich and personalized micro-lessons that establish semantic relationships between words. The findings show that AI-powered tools offer a more effective learning experience than traditional methods by personalizing the language acquisition process and potentially increasing student motivation. Various empirical studies in the field were examined to establish a connection with the topic. In this context, it is argued that artificial intelligence should be positioned not as a replacement for traditional teaching, but as a complementary resource that enriches language education.