Tool Suresh and colleagues 2021
TalkMoves: transformer-assisted classroom discourse analysis
A research application combining speech recognition and transformer models to analyze mathematics classroom talk moves.
Workflow level n/a Source: Preprint (not peer-reviewed) Outcome: Not empirically evaluated here
Research applicability
A research application combining speech recognition and transformer models to analyze mathematics classroom talk moves.
Getting started
Read the original study before attempting reuse; establish consent and governance for classroom recordings and evaluate labeling accuracy on the intended population.
Maintenance
Maintenance status and current operational availability were not independently audited.
License
Not verified in this review. Consult upstream software, service, dataset and model terms before reuse.
Workflow & human oversight
Resource-level entry: no universal autonomy level is assigned. The researcher defines the task, controls access and validates outputs; classify an actual instantiated workflow separately.
Workflow level is not an evidence score; higher is not better evidence.
Approach
The retrieved paper abstract describes processing teacher/student recordings and providing feedback on discourse strategies. This entry identifies a research tool, not a validated education intervention.
Limitations
The retrieved ar5iv representation is short: abstract and introductory model description only. Full evaluation, classroom generalization, deployment availability and reuse license were not checked. No claims of improved student learning or independently replicated model performance are made.
Reproducibility
Reviewed stored primary-source extract candidate-evidence-095.md (retrieved 2026-10-15). Documentation review only; no downloaded code, skill or model was executed.
Adoption requirements
Classroom recordings/transcripts, participant consent, a suitable discourse coding scheme and expert checking. Current service or code availability is not verified.
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