EFL Students' Attitudes and Contradictions in a Machine-in-the-loop Activity System
It addresses the practical challenges of integrating AI tools in EFL education, though it is incremental as it applies existing theory to a specific context.
This study investigated 67 EFL students' attitudes towards AI-assisted writing, finding mostly positive feelings but also tensions due to AI inadequacies and students' desire for autonomy.
This study applies Activity Theory and investigates the attitudes and contradictions of 67 English as a foreign language (EFL) students from four Hong Kong secondary schools towards machine-in-the-loop writing, where artificial intelligence (AI) suggests ideas during composition. Students answered an open-ended question about their feelings on writing with AI. Results revealed mostly positive attitudes, with some negative or mixed feelings. From a thematic analysis, contradictions or points of tension between students and AI stemmed from AI inadequacies, students' balancing enthusiasm with preference, and their striving for language autonomy. The research highlights the benefits and challenges of implementing machine-in-the-loop writing in EFL classrooms, suggesting educators align activity goals with students' values, language abilities, and AI capabilities to enhance students' activity systems.