Claims

Peer graders in these MOOCs score more leniently and with greater dispersion than the instructor

Claim · All claims
Evidence · 1 study · causal r1 · q2
Currency · newest study 2024 · 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? Peer graders gave higher scores than the instructor in almost every case, with grade dispersion two times the instructor's in astronomy and astrobiology and four times in history and philosophy. → Chris Impey 2024

Evidence

Chris Impey 2024

Chris Impey, Matthew Wenger, Nikhil Garuda, Shahriar Golchin, Sarah Stamer. (2024). Using Large Language Models for Automated Grading of Student Writing about Science. Preprint. https://doi.org/10.21203/rs.3.rs-3962175/v1

q2 · i? · causal · r1

Comparison of instructor and peer mean grades for the same questions (Table 4), using peer grades for the full course enrollments (19,661 astronomy; 1,705 astrobiology; 113 history and philosophy).

"Peer graders give higher scores and are more lenient than the instructor in almost every case, and the dispersion in their grades is higher than the instructor dispersion, by a factor of two for the astronomy and astrobiology courses, and by a factor of four for the history and philosophy course."

Discussion

Page metadata
Field Value
type claim
id peer-grading-lenient-high-dispersion-moocs
title Peer graders in these MOOCs score more leniently and with greater dispersion than the instructor
description Peer graders in these MOOCs score more leniently and with greater dispersion than the instructor
status review
evidence_strength moderate
newest_evidence 2024
generated by process:wiki-ingest on 2026-10-27
trust unverified — no one has confirmed this page's content
sources 1 — chris-impey-2024

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