A Platform for Generating Educational Activities to Teach English as a Second Language
To address low lesson preparation efficiency and difficulty in customizing pedagogical activities for English as a Second Language (ESL) teachers, this study proposes an NLP-driven, auditable, and customizable educational activity generation framework. Methodologically, it integrates neural language models with multimodal text–image co-generation techniques to support both ready-to-use gamified activities and grammar/vocabulary exercises derived from teacher-uploaded texts; it further incorporates a human-in-the-loop editing interface enabling semi-automated generation and manual refinement. Its key contribution is the first-of-its-kind integrated “generate–audit–iterate” workflow, balancing automation efficiency with pedagogical expertise. Deployed as a stable platform, empirical evaluation demonstrates significant improvements: average lesson preparation time reduced by 62%, and teacher satisfaction with content adaptability reaching 4.7/5. This work establishes a reusable technical paradigm for AI-enhanced language education.