Claims

A heuristic for assigning blame to rules behind incorrect steps agreed with human coders at kappa=0.78

Claim · All claims
Evidence · 1 study · review r2 · q2
Currency · newest study 2015 · not yet checked against its sources · not reviewed by a person

Subclaims

Reading the evidence codes

q is the design tier, i the impact, n the sample, and the kind with its r the rigour judged within that kind: what each code means.

This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.

q2 i? Nwaigwe's best heuristic for assigning blame to rules behind incorrect steps agreed well with human coders, with kappa=0.78, and was adopted in Andes3. → VanLehn 2015

Evidence

VanLehn 2015

VanLehn, K. (2015). Reflections on Andes' Goal-free User Interface. International Journal of Artificial Intelligence in Education. https://doi.org/10.1007/s40593-015-0067-7

q2 · i? · review · r2

Adaeze Nwaigwe developed a heuristic solution to the assignment-of-blame problem to support educational data mining. The article reports the best heuristic "agreed well (kappa=0.78) with human coders" and that Andes3 adopted it, blaming rules via small edits, user corrections, or replacement steps of the same type.

"She studied several heuristics, and found that the best one agreed well (kappa=0.78) with human coders (Nwaigwe et al. 2007)."

Discussion

Page metadata
Field Value
type claim
id heuristic-blame-assignment-kappa-078
title A heuristic for assigning blame to rules behind incorrect steps agreed with human coders at kappa=0.78
description A heuristic for assigning blame to rules behind incorrect steps agreed with human coders at kappa=0.78
status review
evidence_strength moderate
newest_evidence 2015
generated by process:wiki-ingest on 2026-10-27
trust unverified — no one has confirmed this page's content
sources 1 — vanlehn-2015

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