Enhancing the emotional aspects of language education through generative artificial intelligence (GenAI): A qualitative investigation

This qualitative study investigates the impact of generative artificial intelligence (GenAI) on the emotional engagement, motivation and well-being of first-year university students in Hong Kong. We conducted semi-structured interviews with 21 students and three instructors to explore their perceptions of how GenAI influences the affective dimensions of language learning. The data were analyzed using manual coding and inductive thematic analysis to identify key themes. The findings revealed that GenAI generally enhances students’ motivation, reduces anxiety and stress, and fosters an emotionally supportive learning environment. However, challenges related to cultural context and technical issues were also identified. The study highlights the pivotal role of instructors in shaping students’ experiences with GenAI and underscores the need for ongoing support and professional development. It also demonstrates the importance of cultural sensitivity, technological infrastructure and balance. The study is valuable for those who aim to harness GenAI while preserving the irreplaceable human elements of teaching. It contributes to the growing body of knowledge on integrating AI in language learning. • GenAI enhances emotional engagement, motivation, and well-being in language learning. • Students perceive GenAI as reducing anxiety and creating supportive learning environments. • Cultural context and technical issues pose challenges to effective GenAI integration. • Instructors' attitudes towards GenAI significantly influence student experiences. • Balancing GenAI and human elements is crucial for effective language education.