Claims

AutoTutor's learning gains are virtually equivalent to those of 1-to-1 human tutoring in direct comparisons

Claim · All claims
Evidence · 1 study · review r2 · q3
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.

q3 i? In a direct comparison between AutoTutor and 1-to-1 human tutoring with experienced tutors in computer-mediated conversations, learning gains on Newtonian physics were virtually equivalent. → Graesser 2016

Evidence

Graesser 2016

Graesser, A. C. (2016). Conversations with AutoTutor Help Students Learn. International Journal of Artificial Intelligence in Education. https://doi.org/10.1007/s40593-015-0086-4

q3 · i? · review · r2

The article reports a direct comparison experiment (cited to VanLehn et al. 2007) in which AutoTutor and experienced human tutors in typed or spoken computer-mediated conversation produced "virtually equivalent" gains on Newtonian physics. No effect size is printed.

"in a direct comparison between AutoTutor and 1-to-1 human tutoring with experienced tutors in computer-mediated conversations (either typed or spoken), the learning gains were virtually equivalent on the topic of Newtonian physics"

Discussion

Page metadata
Field Value
type claim
id autotutor-gains-equivalent-to-human-tutoring
title AutoTutor's learning gains are virtually equivalent to those of 1-to-1 human tutoring in direct comparisons
description AutoTutor's learning gains are virtually equivalent to those of 1-to-1 human tutoring in direct comparisons
status review
evidence_strength moderate
newest_evidence 2016
generated by process:wiki-ingest on 2026-10-17
trust unverified — no one has confirmed this page's content
sources 1 — graesser-2016

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