Exploring students’ acceptance of an artificial intelligence speech evaluation program for EFL speaking practice: an application of the Integrated Model of Technology Acceptance

Abstract

Adapted from the Technology Acceptance Model (TAM), the Integrated Model of Technology Acceptance (IMTA) has been used to examine the perceptions and acceptance of computer-assisted language learning (CALL), such as online learning, mobile learning, and learning management systems. However, whether IMTA can be applied to empirical research on AI-assisted language learning remains unexplored. Therefore, this article intends to analyze an AI speech evaluation system for English speaking practice, in the context of higher education through the IMTA. Research instruments encompassed questionnaires (n = 218) and semi-structured interviews (n = 21). The participants were English as a foreign language (EFL) learners who had used an AI speech evaluation program to practice their speaking skills. The results suggested that (1) most participants found the AI program useful, pleasant, and easy to use. They also had a strong intention to continue using it; (2) perceived usefulness (PU) and perceived enjoyment (PE) are significant predictors of behavioural intention to use (BI). Meanwhile, problems related to user interface design, the accuracy of automatic feedback and especially the lack of face-to-face interaction were reported. This study demonstrates how IMTA could be applied to examine users' acceptance of AI programs for EFL speaking practice. The findings also offer insights into further research and development in AI tools for EFL speaking practice.