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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

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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
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