Professional Lesson Plan – Video Based 01 is an edtech-oriented project that demonstrates how Artificial Intelligence (AI) and prompt engineering can be applied to language education in a structured, transparent, and pedagogically sound way.
The project presents a complete AI-assisted teaching workflow, from authentic video material to CEFR-leveled lesson plans, classroom activities, and professional documentation.
AI is positioned as a teaching accelerator, supporting educators in content creation, adaptation, and standardization — never replacing pedagogical expertise.
Language educators frequently face:
- High time investment in lesson planning
- Repetitive material creation across levels
- Difficulty scaling quality and consistency
- Limited documentation of teaching processes for portfolios or teams
This project addresses these challenges by implementing a prompt-based instructional design system that is:
- Reusable
- Transparent
- Adaptable
- Teacher-centered
The project applies prompt engineering as an instructional design layer, allowing teachers to:
- Translate pedagogical intent into structured AI prompts
- Maintain methodological consistency across CEFR levels
- Rapidly adapt materials without compromising quality
- Document workflows for professional portfolios and edtech use
This approach bridges education, instructional design, and AI systems.
This project adopts a human-in-the-loop approach to AI.
- Teachers define objectives and constraints
- AI supports drafting and adaptation
- Teachers review, validate, and contextualize outputs
AI functions as a guided instructional collaborator, not an autonomous decision-maker.
Instead of generic AI requests, prompts are designed to explicitly encode:
- Pedagogical role
- Learning context
- Teaching task
- Linguistic and methodological constraints
- Expected output format
This transforms AI from a reactive tool into a methodologically aligned teaching assistant.
All prompts follow the same internal structure: Role → Context → Task → Constraints → Output
This structure ensures:
- Consistency across materials
- Reproducibility
- Easier iteration and versioning
- Scalability across languages and CEFR levels
To ensure educational rigor:
- CEFR descriptors guide language leveling
- Communicative Language Teaching (CLT) and Task-Based Learning (TBL) guide activity design
- All AI outputs are treated as drafts and refined by the teacher
All prompts used in this project are fully documented in: 👉 PROMPTS.md
This ensures explainability, ethical AI use, and methodological transparency.
The project is grounded in:
- Communicative Language Teaching (CLT)
- Task-Based Learning (TBL)
- CEFR descriptors
- Instructional design principles
- Prompt engineering best practices
This guarantees both educational validity and technical scalability.
This repository includes a complete set of professional teaching materials, all generated, adapted, or structured using the documented AI methodology.
- 01-Maisa-Interviews-Millie-Bobby-Brown.docx: Original lesson plan based on the video interview, serving as the pedagogical foundation of the project.
- 04-Maisa-entrevista-a-Millie-Bobby-Brown.docx: Documented interview context and lesson details.
- 08-MAISA-and-MILLIE-BOBBY-BROWN-transcript-languagereactor.docx: Full interview transcript extracted via Language Reactor, used for linguistic analysis, adaptation, and leveling.
- 02-Lesson-Materials-B1.docx: CEFR B1 teaching materials including reading, listening, speaking, writing, vocabulary, and grammar activities.
- 05-Lesson-Materials-C1.docx: Advanced CEFR C1 version of the lesson with higher-level discourse, critical thinking, and lexical depth.
- 06-Professional-Lesson-Plan-Template-Video-Based-Class-extra-mat.docx: Reusable professional template for creating video-based lessons using AI-supported workflows.
- 03-Presentation-Maisa-Interviews-Millie-Bobby-Brown.pptx: Classroom-ready presentation to support guided discussion, vocabulary work, and listening tasks.
- 07-Teaching-Portfolio – Lesson-Models-extra-mat.docx: Teaching portfolio document showcasing lesson models, methodology, and instructional design decisions.
This project can be used as:
- A professional teaching portfolio
- A reference model for AI-assisted lesson design
- Training material for teachers learning prompt engineering
- A prototype for edtech products or teacher platforms
Because the system is modular, standardized, and versioned, it can be easily adapted to:
- Other languages
- Other CEFR levels
- Group classes
- Teacher training programs
- AI-powered educational products
This project follows responsible AI principles:
- AI supports, not replaces, educators
- Pedagogical decisions remain human-led
- Learner needs always come first
The focus is on augmentation, not automation.
- PROMPTS.md — Full prompt documentation and versioning
- Professional Lesson Plan – Video Based 01 — Core project reference