Claims

Compiler errors accounted for over half of diagnosis interactions in the log analysis

Claim · All claims
Evidence · 1 study · design r2 · q2
Currency · newest study 2016 · 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? In the 2013 log analysis, compiler errors accounted for 55.4% of interactions (1920 of 3466) and 21.8% of attempts, making it the largest single category of diagnosis outcomes. → Gerdes 2016

Evidence

Gerdes 2016

Gerdes, A., Heeren, B., Jeuring, J., & van Binsbergen, L. T. (2016). Ask-Elle: an Adaptable Programming Tutor for Haskell Giving Automated Feedback. International Journal of Artificial Intelligence in Education. https://doi.org/10.1007/s40593-015-0080-x

q2 · i? · design · r2

Table 2 of the log analysis reports the Compiler error category with 142 attempts (21.8%) and 1920 interactions (55.4%). This is the largest category by interactions, indicating many submissions contained syntax or type errors that the student had to repair before further feedback could be given.

"Compiler error 142 (21.8%) 1920 (55.4%)"

Discussion

Page metadata
Field Value
type claim
id ask-elle-compiler-errors-majority-of-interactions
title Compiler errors accounted for over half of diagnosis interactions in the log analysis
description Compiler errors accounted for over half of diagnosis interactions in the log analysis
status review
evidence_strength weak
newest_evidence 2016
generated by process:wiki-ingest on 2026-10-28
trust unverified — no one has confirmed this page's content
sources 1 — gerdes-2016

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