Proactive feedback produces significant post-intervention increases in Joint Visual Attention of dyads¶
Claim · All claims
Evidence · 1 study · causalr2·q3
Currency · newest study 2026 · checked against its sources 2026-10-18 (automated, 1 of 1 entry) · 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? JVA averaged over two minutes after feedback was significantly higher than JVA averaged over the two minutes before feedback. → Anahita Golrang 2026
Evidence¶
Anahita Golrang 2026¶
Anahita Golrang, Kshitij Sharma, Simon Dehaen, Olga Viberg. (2026). ProPACT: A Proactive AI-Driven Adaptive Collaborative Tutor for Pair Programming. https://arxiv.org/abs/2605.02703 doi:10.48550/arxiv.2605.02703
q3 · i? · causal · r2
Process-level analysis addressing RQ2 in the same within-subjects study: JVA aggregated two minutes before versus two minutes after feedback showed a significant increase (t[df = 25] = 12.76, p<.0001). No effect size printed.
"a test between the JVA values before (average for the two minutes before) and after (averaged for two minutes after) the feedback was provided showed a significant increase in the JVA of the dyads (t[df = 25] = 12.76, p<.0001, figure 4a)."
Discussion¶
Learner Variables¶
- Attention — outcome: instruction changes it
- Visual Processing — outcome: instruction changes it
Related Claims¶
- Proactive feedback produces significant post-intervention increases in Joint Mental Effort of dyads — related
- Proactive multimodal feedback significantly increases debugging success in pair programming compared to no-feedback control — related
- Gaze-based assistance produced a significantly higher follow-up fixation rate on the spoken secondary AOI than the baseline — related
- Adaptive AI support directs regulatory activity toward monitoring while static AI support produces strategy-focused, procedural regulation — related
- High joint visual attention can hide a free-rider effect in collaborative dyads — related
- Proactive multimodal feedback significantly increases feedback uptake compared to control — related
- Levels of joint visual attention are correlated with collaboration quality across collaborative groups — related
- Proactive multimodal feedback significantly reduces debugging time on task compared to control — related
- Joint visual attention correlates with collaboration quality, but unbalanced visual participation is negatively correlated with learning gains — related
- Joint attention is a group phenomenon not reducible to either individual's mental representations — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
propact-feedback-increases-jva-post-intervention |
title |
Proactive feedback produces significant post-intervention increases in Joint Visual Attention of dyads |
description |
Proactive feedback produces significant post-intervention increases in Joint Visual Attention of dyads |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2026 |
source_checked |
2026-10-18 |
generated |
by process:wiki-ingest on 2026-10-10 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — anahita-golrang-2026 |
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