Metkagram
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Metkagram · internal research programme

Measure the method, not just describe it.

Metkagram maintains an applied research programme at the intersection of second-language learning, retrieval practice and functional annotation. Hypotheses are recorded before results exist, so future claims can be tested rather than retrofitted.

Status · protocols prepared, no efficacy claim made

3,436
reusable B2–C1 patterns
25,116
annotated sentences
2,240
curated document sets
EN · DE
learning languages

01 · Research questions

Research questions

  1. 01

    Cue and attention

    Does a minimal functional tag help learners identify structure faster than the same sentence without annotation?

    Primary measure: Role-identification accuracy and time to a correct answer.
  2. 02

    Pattern and transfer

    Do parallel variations support use in a new context better than a rule explanation alone?

    Primary measure: Accuracy on unseen, structurally matched examples.
  3. 03

    Retrieval and retention

    Does attempting the pattern before revealing it improve delayed recall?

    Primary measure: Immediate and delayed cued-production scores.
  4. 04

    Annotation and data quality

    Can one token-level scheme serve learning and reproducible NLP analysis at the same time?

    Primary measure: Annotator agreement, offset validity and record completeness.

02 · Minimum reproducible protocol

Minimum reproducible protocol

  1. 01Pre-register the hypothesis, primary outcome and exclusion criteria.
  2. 02Vary one mechanism at a time: annotation, variation or retrieval.
  3. 03Measure transfer with unseen examples, not only the phrases used in practice.
  4. 04Publish null and negative findings alongside positive results.
  5. 05Protect participant privacy and collect only the data the study needs.
  6. 06Version the stimuli, annotation schema and analysis code.

03 · Research-ready assets

Research-ready assets

A static corpus, canonical schema and public routes make learning stimuli inspectable and reproducible.

04 · Evidence boundary

Evidence boundary

Metkagram does not yet claim that its interface outperforms another learning method. Research on attention, focus on form, retrieval and spacing informs the design; the effect of this specific implementation must be measured separately.

05 · Propose a study

Propose a study

We welcome preregistered pilots, corpus studies, annotation-quality reviews and supervised student research.

Discuss a research partnership