Turn every class into personalised learning

Upload a recording. Name the voices, confirm learner errors, and get practice matched to what each student said.

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How Lingo Logic works

Class recordingdemo class · JosePlaying

60 min class

Upload audio or record live. Voices are separated for naming.

TeacherStudent 01Student 02

Teachers confirm every error. Confirmed patterns become student practice.

The slips you hear every lesson - caught, confirmed, practised

  • have went→went
  • confident on→confident in
  • more better→better
  • I am agree→I agree
  • depend of→depend on
  • the London→London
  • she don't→she doesn't
  • make a photo→take a photo
  • since two years→for two years
  • explain me→explain to me

The problem

Spoken errors disappear the moment class ends

You hear “have went” and “confident on” in the room - then the hour is gone. Lingo Logic surfaces the patterns and turns confirmed mistakes into next week’s practice.

  1. 01

    Record

    Upload the lesson or capture it live. Voices are separated so you name each speaker once.

  2. 02

    Review

    The model flags likely errors. You confirm or dismiss each one - nothing reaches students unchecked.

  3. 03

    Practise

    Confirmed patterns become exercises built from each student's own sentences.

The pedagogy

Grounded in second language acquisition research

Every confirmed error is classified by grammar category and tracked lesson by lesson. This creates a longitudinal picture of each learner’s recurring difficulties in spoken English.

Students practise the areas where they make the most errors, using exercises built around their own language. The aim is simple: notice the problem, retrieve the correct form, and produce it again.

1 · Find the weakness

Errors by grammar category, week 1

  • Past tense14
  • Prepositions8
  • Articles5
  • Agreement3

2 · Track the change

Past tense errors per lesson

−71%

Past tense errors per lesson over four weeks
Week 114
Week 211
Week 37
Week 44

Illustrative example of one learner’s data.

  • Noticing

    Schmidt, 1990

    Learners need to notice aspects of language in order for them to become available for learning. Lingo Logic makes each learner’s confirmed errors visible and reviewable.

  • Corrective feedback

    Lyster & Ranta, 1997

    Research on classroom interaction shows that feedback which prompts learners to produce their own repair can generate more learner uptake than simply supplying a corrected form. Lingo Logic turns confirmed errors into opportunities for self-correction.

  • Pushed output

    Swain, 1985

    Producing language can make learners aware of gaps in what they can express. Lingo Logic puts learners back into production rather than asking them only to recognise the correct answer.

  • Delayed correction

    Harmer, 2007

    A common ELT practice is to separate fluency-focused speaking from later error correction. Lingo Logic automates part of this process: capture the conversation first, review errors afterwards, then turn confirmed errors into practice.

Error categories map onto the Grammatical Resource criterion of Cambridge English speaking assessment and are reported against CEFR levels, so progress lines up with the exams your students are preparing for.

References

  • Harmer, J. (2007). The practice of English language teaching (4th ed.). Pearson Longman.
  • Lyster, R., & Ranta, L. (1997). Corrective feedback and learner uptake: Negotiation of form in communicative classrooms. Studies in Second Language Acquisition, 19(1), 37–66.
  • Schmidt, R. W. (1990). The role of consciousness in second language learning. Applied Linguistics, 11(2), 129–158.
  • Swain, M. (1985). Communicative competence: Some roles of comprehensible input and comprehensible output in its development. In S. Gass & C. Madden (Eds.), Input in second language acquisition (pp. 235–253). Newbury House.

The data-back guarantee

We measure one thing: the student’s weakest grammar area - past tense, for example - and the number of errors they make in it each week. If that number isn’t coming down by the end of your first paid month, we’ll refund that month in full.

Get started

Who it’s for

Built for people who teach speaking

Same workflow whether you run a school or a handful of private lessons.

  • Language schools

    See class-wide patterns after every lesson - what to reteach next week.

  • 1:1 tutors

    Keep a living profile of spoken errors without rewriting notes by hand.

  • Exam prep

    Cambridge and IELTS speaking practice tied to what each student actually said.

Walkthrough

See a class become practice

Twenty seconds from a class recording to a student's practice set.

Analyse one class. See if it sticks.

Free for your first month - upload a lesson, name the voices, review the errors.

FAQ

Questions schools ask

Something else on your mind? Ask us directly.

  • Yes. The model suggests errors; you confirm or dismiss each one before students see practice.