Student Motivation and Self-Regulated Learning in AI-Enhanced Language Education among Vocational College Students in China
List of Authors
Mohamad Jafre Zainol Abidin, Niu Yanyan
Keyword
AI-enhanced education, student motivation, self-regulated learning, vocational college, AI feedback
Abstract
This research examines the influence of AI-augmented language teaching on student motivation and self-regulated learning in vocational college students in China. This study investigates the influence of AI feedback immediacy, AI feedback quality, and the amalgamation of AI with human instruction on students' motivation to learn and their capacity to self-regulate their learning processes. The research utilises a mixed-methods strategy, integrating quantitative surveys and qualitative interviews to collect data on students' experiences and attitudes. Research indicates that the promptness and calibre of AI feedback substantially improve student motivation and facilitate more efficient self-regulated learning techniques. The amalgamation of AI with human instruction cultivates a more tailored and stimulating educational atmosphere. This research enhances the comprehension of how AI might be utilised to augment language learning results in vocational education contexts.