In Quantitative AI sessions, faster AI replies were associated with more engagement, more correct practice, and larger learning gains; these associations were not significant in Verbal¶

Claim · All claims
Evidence · 1 study · causal r2 · q2
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q2 i? Across 12 AI tutors, lower latency was strongly associated with higher student engagement (Spearman ρ=−0.81, p=.006), and the reply-time→engagement→practice→gain chain held in Quantitative (all p≤.002) but not in Verbal. → Curtis Northcutt 2026

Evidence¶

Curtis Northcutt 2026¶

Curtis Northcutt, Inaara Hasmani, Kevin Feng, Trevor Khangi, Andreas Plesner, Jonas Mueller. (2026). StudentBench: AI and human tutoring yield equivalent GRE learning gains. https://arxiv.org/abs/2609.28470 doi:10.48550/arxiv.2609.28470

q2 · i? · causal · r2

Exploratory regressions on 1,137 Quantitative AI-tutoring sessions adjusting for starting score, AI tutor, and assessment form; the printed cross-tutor correlation was "Spearmanρ=−0.81, p=.006". Section-specific: associations not significant in Verbal (n=998).

"Faster replies were associated with more student engagement, more engagement with more correct practice, and more correct practice with greater learning gains (Figure 6; allp≤.002). These associations were not statistically significant in Verbal."

Discussion¶

Related Claims¶

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