AutoTutor's learning gains are virtually equivalent to those of 1-to-1 human tutoring in direct comparisons¶
Claim · All claims
Evidence · 1 study · reviewr2·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¶
Related Claims¶
- The talking head contributes little to AutoTutor's learning gains; the content of the conversation matters — related
- AutoTutor yields average learning gains of 0.3 to 0.8 sigma compared to reading text for an equivalent amount of time — related
- AutoTutor cannot handle most student questions, so student question frequency extinguishes quickly in tutoring sessions — related
- One-to-one human tutoring lifts an ordinary student well beyond the average classroom with an effect of about d = 0.79 (VanLehn, 2011, as reported) — related
- AutoTutor achieved learning gains comparable to human tutors in physics and computer literacy — possibly the same claim (merge candidate)
- Intelligent tutoring systems are reported to improve learning outcomes, especially in structured knowledge domains — a broader claim this one bears on
- Meta-analytic evidence indicates intelligent tutoring systems yield positive learning outcomes compared with non-ITS conditions — a broader claim this one bears on
- ITS significantly outperform large-group human instruction, individual computer-based instruction, and textbooks or workbooks, but not small-group or individual human tutoring — a broader claim this one bears on
- The review reports that AutoTutor improves learning by nearly one letter grade compared with reading a textbook for an equivalent time or with a pretest — related
- ITS substitution: meta-analyses find no significant cognitive learning differences between ITS and human tutoring or small-group instruction — a broader claim this one bears on
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 |
Frontmatter is the page's machine-readable record — see the Schema & Guide.