Developed by Jinyang Song & Yi Dai, English Language Centre, School of Languages, Xi’an Jiaotong-Liverpool University

Target area

EAP lesson planning for pre-intermediate EAP modules

Target Skills

Lesson plan, teaching materials design

 Target Language Level:

This agent is intended for teachers designing lessons for pre-intermediate EAP students  at XJTLU.

PlanMate (TTT Assistant) is a teacher-facing AI agent designed to help lecturers at XJTLU’s School of Languages create structured and engaging lesson plans for pre-intermediate EAP students, focused on the Test–Teach–Test model. It draws content from weekly learning outcomes and booklet materials to ensure alignment with the course syllabus, while offering adaptable prompts, scaffolding ideas, and integrated digital tool suggestions.

Key features:

  • Curriculum-Informed Design: Unlike using general GenAI tools in a one-off way, this agent is pre-loaded with weekly course outline, target vocabulary, and shared curriculum, allowing it to generate lesson content that reflects learning outcomes and supports a backward design approach.
  • Stage-Based Handout and Worksheet Generation: It can produce handouts and tasks that correspond to each phase of the TTT lesson model (e.g., vocabulary practice, post-task reflection), reducing the need for manual material creation.
  • Built-In Differentiation Strategies: The agent offers suggestions for scaffolding and extension, allowing teachers to adapt lessons for mixed-ability learners with minimal extra planning.

Suggestion for users

  • Users are encouraged to include the teaching dates in their prompt to ensure more accurate content retrieval.
  • Always review and adapt the outputs, especially handouts, to ensure they suit your class context and learning objectives.
  • Treat the agent as a planning assistant rather than a source of final materials. Use it to structure your ideas and streamline planning time.

Additional information

This agent is intended to be further developed and adapted to support a wider range of lecturers across various modules. Future iterations will focus on expanding its functionality and enhancing its alignment with diverse pedagogical needs.