Liudmila Zhuk, PhDEnglish teaching · learning design
Work

A teaching system that remembers the previous lesson.

I design English classes around each learner’s goals and starting point. ESL_Master helps me connect lesson planning, classroom teaching, independent practice, and evidence of learning. I use that evidence to decide what to revisit, what to change, and when to move on.

The method
From a learner’s goal to the next lesson.

One connected learning cycle.

  1. A goal

    Choose a concrete task: for example, arrange a meeting and confirm the details.

  2. A live lesson

    Explore the language, listen to examples, and use it in a conversation.

  3. Home practice

    Recall the material and use it in a new situation. The time needed varies by assignment; it might be 30 or 45 minutes.

  4. A check

    Look at what the learner can do without prompts and what needs more practice.

  5. The next lesson

    Return to difficulties and gradually make the task more demanding.

Try a lesson · A2–B1 · Weekend plans

One topic, in class and at home. Start with the home practice — you can do all of it on your own. The live class needs a partner.

Adapted lesson materials and fictional conversations. No account needed. The home practice follows the live class.

ESL_Master
Used in my own teaching.

What the system keeps track of.

Learner contextGoals, current skills, relevant vocabulary, and recurring difficulties inform lesson preparation. CEFR descriptors help define an appropriate task and assess independent performance.
Practice over timeVocabulary and grammar return in spaced review and new situations. A correct answer with a prompt is recorded differently from an independent response.
Teaching decisionsDocumented teaching principles and quality checks guide preparation. I choose the goal, review AI-generated materials, adapt during the lesson, and approve changes to the learning plan.

The system combines research-informed teaching principles with practical rules from my own lessons. Automated checks help find structural and language-level problems; they cannot establish that a lesson is suitable for a particular person. That requires my review and observation in class.

A lesson, close up
From an observation to the next task.

What happens in class shapes what comes next.

I use learners’ responses, questions, and difficulties to decide what to teach next. ESL_Master helps me keep those observations, prepare practice, and bring useful language back over time. I review the evidence and make the teaching decisions.

The weekend-plans demo lets you explore the lesson, follow-up practice, and vocabulary cards. It illustrates the activities; an individual learner’s history and my decisions about their next lesson stay outside the public demo.

Preparation checks
Four areas of review.

What I check before sharing a lesson.

For new classes, ESL_Master combines automated checks for structure, links, and consistency with separate AI reviews of language, pedagogy, task logic, and audio.

LanguageIs the English natural and accurate? Do the phrases fit the situation?
PedagogyDoes the activity practice the intended skill? Are the level and amount of support appropriate for this learner?
Task logicIs it clear what the learner should do? Do the prompts, hints, and accepted answers agree?
AudioDoes the audio match the intended text and play correctly? Are the pronunciation and pace suitable for the task?

I review the findings, decide on the changes, and approve the final materials for the learner.

Tools

Tools for practice between lessons.

For teachers

The method behind the materials.

I write about lesson preparation, independent practice, and what transcript review reveals about my own teaching. These essays explain practical decisions and their limits, with examples you can adapt to your own context.