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Constructing a GenAI-Driven "Learning–Assessment–Competition" Ecosystem for the Digital Transformation of University Language Labs
To address inefficient resource utilization, monotonous learning experiences, and insufficient motivational feedback in university foreign language laboratories, this study proposes a Generative AI (GenAI)-driven “Learning–Assessment–Competition” (LAC) integrated autonomous learning platform. The platform integrates GenAI’s intelligent generation and personalized adaptation capabilities with laboratories’ multimodal resources (e.g., VR pods, speech terminals, video corpora) to construct a three-dimensional ecosystem linking teaching support, autonomous learning, and competition incentives, thereby forming a closed-loop learning pathway from knowledge input to ability output to motivation activation. A one-semester pilot implementation showed that average daily laboratory usage doubled from 4 to 8 h, students’ speaking performance improved significantly according to internal assessments, and teachers’ lesson-preparation time decreased by approximately 35%. Based on these outcomes, this study proposes an LAC collaboration mechanism and a three-stage rollout strategy, offering a replicable and sustainable paradigm for the digital transformation of university foreign language laboratories.
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Supporting Agencies
- Funding: This research received no external funding.