Emote-aloud protocols show learner emotions correlate systematically with AutoTutor dialogue features¶
Claim · All claims
Evidence · 1 study · reviewr2·q2
Currency · newest study 2010 · 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? Graesser et al. established significant correlations between dialogue characteristics and confusion, eureka experiences, and frustration. → Nicole C. Krämer & Gary Bente 2010
Evidence¶
Nicole C. Krämer & Gary Bente 2010¶
Nicole C. Krämer & Gary Bente. (2010). Personalizing e-Learning. The Social Effects of Pedagogical Agents. Educ Psychol Rev. https://doi.org/10.1007/s10648-010-9123-x
q2 · i? · review · r2
The review reports Graesser et al.'s (2008) emote-aloud analysis: "significant correlations for confusion, eureka experiences, and frustration," with confusion negatively correlated with positive feedback and positively with hints. No coefficients are printed.
"The authors established significant correlations for confusion, eureka experiences, and frustration. Confusion is negatively correlated with positive feedback or assertion from the tutor and positively correlated with hints."
Discussion¶
Related Claims¶
- Prior research established correlations between observable student experiences such as frustration and clickstream data in ASSISTments, enabling experience-variable equity research without demographic data — related
- The emote-aloud procedure is limited by non-reporting and floor effects: 2 of 7 participants did not verbalise affective states and four states were removed from analysis — related
- Frustration during learning is associated with facial action units 1, 2, and 14, with a mutual trigger rule between the inner and outer brow raises — related
- Confusion during learning is associated with facial action units 4, 7, and 12, with tightened lids tending to trigger a lowered brow — related
- Boredom during learning shows a significant association with facial action unit 43 (eye closure), but no association rules between action units — related
- No significant impact of frustration or boredom (or anxiousness, discouragement, distractedness) on practice performance was found — related
- On novel, hard tasks, superior trained adults tend to jump at conclusions, accept results without surety, and become confused, more than orthodox psychology supposes — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
emote-aloud-emotions-correlate-with-dialogue-features |
title |
Emote-aloud protocols show learner emotions correlate systematically with AutoTutor dialogue features |
description |
Emote-aloud protocols show learner emotions correlate systematically with AutoTutor dialogue features |
status |
review |
evidence_strength |
weak |
newest_evidence |
2010 |
generated |
by process:wiki-ingest on 2026-10-16 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — nicole-c-krämer-gary-bente-2010 |
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