Tutoring Effectiveness Index (TEI)¶
Research Method · All research methods
Evidence · 2 claims (2 for) · 1 study (1 causal),q2· 0 of 1 report an effect size · 2 claims rest on one study
Description¶
TEI is a fixed-weight linear index over four signals computed without any external model at selection time: "a Schoenfeld-Verify keyword ratio, a math-step density, an ends-question rate, and a deep-reasoning gate from the Deep-Thinking Ratio (DTR) probe". Verification and explicit math content are rewarded, ending tutor turns with questions is penalised, and the DTR gate adds a small bonus. Weights (α, β, γ, δ) = (1.0, 0.75, 1.0, 0.5) are fixed a priori from theory to preserve the training-free, judge-free property.
Accounts¶
- Tutoring Effectiveness Index (TEI): a training-free, judge-free four-signal index for scoring candidate tutor responses: TEI is a fixed-weight linear index over four signals computed without any external model at selection time: "a Schoenfeld-Verify keyword ratio, a math-step density, an ends-question rate, and a deep-reasoning gate from the Deep-Thinking Ratio (DTR) probe". Verification and explicit math content are rewarded, ending tutor turns with questions is penalised, and the DTR gate adds a small bonus. Weights (α, β, γ, δ) = (1.0, 0.75, 1.0, 0.5) are fixed a priori from theory to preserve the training-free, judge-free property. (The Tutoring Effectiveness Index: Predicting LLM Math Tutor Quality from Four Conversation)
Claims¶
- TEI@N inference-time selection raises the improvement rate on pre-incorrect math scenarios from 59.0% to 81.9% at N=8 over Greedy on a frozen DeepSeek-R1-8B base [+M]
- On the same frozen base, TEI@4 beats both DTR@4 and Greedy on Δ Solve Rate, leak rate, and composite R_total at no training cost [+M]
Related Research Methods¶
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Key Sources¶
- Shim Jaechang and Unggi Lee. 2026. The Tutoring Effectiveness Index: Predicting LLM Math Tutor Quality from Four Conversation Signals. In Proceedings of The 35th ACM International Conference on Information and Knowledge Management (CIKM '26). https://arxiv.org/abs/2605.30666
Page metadata
| Field | Value |
|---|---|
type |
research-method |
id |
tutoring-effectiveness-index-tei |
title |
Tutoring Effectiveness Index (TEI) |
description |
TEI is a fixed-weight linear index over four signals computed without any external model at selection time: "a Schoenfeld-Verify keyword ratio, a math-step density, an ends-question rate, and a deep-reasoning gate from the Deep-Thinking Ratio (DTR) probe". |
status |
review |
generated |
by process:settle-candidates on 2026-10-12 |
trust |
unverified — no one has confirmed this page's content |
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