GenAI-Powered Multilingual Speaking Development: The Role of Intrinsic and Extrinsic Motivation

Abstract

In recent years, Generative Artificial Intelligence (GenAI) has emerged as a powerful tool for language learning, offering personalized conversational practice for multilingual learners. Despite the growing adoption of AI-driven English learning applications, there is limited research on multilingual learners’ acceptance of GenAI-powered speaking practice. This study investigated Chinese multilingual learners’ attitudes towards GenAI-assisted conversational practice and the factors influencing their acceptance. The research was guided by the Integrated Model of Technology Acceptance (IMTA), which incorporates both intrinsic and extrinsic motivational factors. An IMTA questionnaire (N = 307) revealed that while the perceived ease of use (PEOU) of GenAI does not directly predict behavioural intention (BI), it significantly predicts perceived usefulness (PU). Enjoyment (ENY) was found to positively influence PEOU, PU, and BI. These findings support the integration of GenAI in intelligent, multilingual learning environments and offer valuable insights for future research, teaching practices, and policy formulation.