Move from recognition to production
Students actively build answers with the vocabulary and grammar they have just studied, instead of only recognising the correct option.
Teachers upload the lesson they already teach. Language Practice turns it into short, realistic voice conversations students can rehearse privately in Telegram—then shows the teacher and school what needs attention.
A student may recognise every word on the page and still freeze when the situation becomes real. The missing step is often not another explanation. It is a safe, purposeful chance to retrieve the language, say it and try again.
Students actively build answers with the vocabulary and grammar they have just studied, instead of only recognising the correct option.
Hotel check-in, a work call or an everyday request becomes a private role-play first—without an audience waiting for the perfect answer.
Language Practice keeps replies short and corrects one important point at a time, so the conversation continues instead of becoming a lecture.
These findings support the principles behind the product. They do not yet prove outcomes for Language Practice itself; that is what real school pilots must measure.
A revised meta-analysis found a moderate positive effect for task-based language teaching on second-language achievement (g = 0.61), while explicitly urging cautious interpretation.
Read the peer-reviewed meta-analysisA classroom meta-analysis covering 15 studies and 827 learners found significant and durable effects from oral corrective feedback.
Read the research recordEmerging research with 60 EFL learners found gains in speaking and lower self-reported anxiety with AI conversation practice. The authors also stress that it should complement—not replace—teachers and peer interaction.
Read the study and its limitationsLanguage Practice extends the school’s curriculum rather than inventing a parallel one.
Paste text or upload a PDF or EPUB. The teacher can preview the result before sending it to students.
The practice uses the lesson’s language, level, vocabulary, grammar and permitted situations as its source.
The student answers by voice or text, receives short contextual replies and can practise without holding up the class.
Saved practice summaries surface recurring development areas without requiring someone to replay every voice message.
Language Practice gives each teacher a practical between-class speaking layer while preserving school-level visibility across the pilot.
Register a school for the pilot30-day pilot · no automatic billing · teacher-led curriculum
Invite teachers, see school classes and lessons, review development patterns and understand pilot usage.
Reuse real lesson materials, preview the practice and get concise student development signals.
Practise realistic conversations at their own pace in a familiar channel, before the next live class.
No. The teacher’s lesson is the source, the teacher previews and sends the practice, and the reports support the teacher’s next decision.
No. Language Practice is designed to use the school’s existing lesson text, PDF or EPUB material and practise the same target language in realistic situations.
For the current pilot, the student uses Telegram and can answer by voice or text. There is no separate student application to install.
Not yet. The design is informed by task-based learning, corrective-feedback and emerging AI-conversation research. The first school cohort must establish real activation, repeated practice, school value and continuation.
Use a real lesson, invite real students and evaluate the practice and reports during a 30-day pilot.
Start school registration