Introduction The integration of artificial intelligence (AI) into language education has generated growing interest; however, its effects on learners' language proficiency and affective experiences remain underexplored. Grounded in the framework of positive psychology, this study examined the use of the Pi AI-powered platform in a semester-long English language course for upper-intermediate learners. As an exploratory small-scale classroom-based study, it aimed to provide preliminary insights rather than broadly generalizable conclusions. Specifically, it investigated the platform's impact on students' language proficiency, motivation, anxiety, enjoyment, and engagement, as well as their perceptions of its advantages and disadvantages. Methods The study was conducted with an intact class of 16 upper-intermediate EFL students at a private language institute. A mixed-methods approach was employed, drawing on multiple sources of data: students' exam scores, a focus group discussion, individual interviews, learner narratives, and instructor observations. Data were collected throughout one academic semester during the integration of the AI platform into regular classroom practice. Results Findings revealed improvements in students' speaking and listening skills over the period of AI integration. Participants also reported reduced anxiety and increased motivation, enjoyment, and engagement in language learning activities. Students valued the platform's personalized and low-stakes opportunities for practice. However, they also identified limitations, including insufficient conversational complexity and limited diversity of accents. Discussion The findings suggest that AI can function as a valuable complementary tool to traditional language instruction by supporting personalized practice and fostering positive affective experiences. Nevertheless, concerns regarding over-reliance on AI and restricted linguistic exposure indicate the importance of balanced and pedagogically guided integration. Future research should examine long-term outcomes, broader learner populations, and strategies for optimizing AI-supported language learning environments.
Khodi et al. (2026) studied this question.