Human-AI tutoring increases IXL time on task by 25% with no significant difference between proactive and reactive groups¶

Claim · All claims
Evidence · 1 study (2 entries) · causal r2 · q2
Currency · newest study 2026 · checked against its sources 2026-10-20 (automated, 2 of 2 entries) · not reviewed by a person

Subclaims¶

q2 i? Human-AI tutoring significantly increased student time on task in IXL (25% in the IK bandwidth), and time on task did not differ reliably between proactive and reactive tutoring. → Ashish Gurung 2026 q2 i? No significant difference in time on task was found between proactive and reactive tutoring in either the IK bandwidth subsample or the full sample. → Ashish Gurung 2026 (2)

Evidence¶

Ashish Gurung 2026¶

Ashish Gurung, Ge Gao, Jordan Gutterman, Danielle R. Thomas, Shivang Gupta, Lee Branstetter, Emma Brunskill, Vincent Aleven, Kenneth R. Koedinger. (2026). Improving Hybrid Human-AI Tutoring by Differentiating Human Tutor Roles Based on Student Needs. arXiv preprint. https://arxiv.org/abs/2605.11155 doi:10.48550/arxiv.2605.11155

q2 · i? · causal · r2

Within-subject DiD analysis of IXL logs over the 10 school weeks preceding each MAP test. Human-AI tutoring increased "student time on task in both the IK bandwidth subsample (25%; +1.32 hours, p< .001)" and the full sample (31%; +1.61 hours, p<.001).

"we find that human-AI tutoring associated with significant improvement in student time on task in both the IK bandwidth subsample (25%; +1.32 hours, p< .001) and the full sample (31%; +1.61 hours, p<.001)."

Ashish Gurung 2026 (2)¶

Ashish Gurung, Ge Gao, Jordan Gutterman, Danielle R. Thomas, Shivang Gupta, Lee Branstetter, Emma Brunskill, Vincent Aleven, Kenneth R. Koedinger. (2026). Improving Hybrid Human-AI Tutoring by Differentiating Human Tutor Roles Based on Student Needs. arXiv preprint. https://arxiv.org/abs/2605.11155

q2 · i? · causal · r2

DiD comparison of proactive versus reactive groups on IXL time on task (Table 5). The article reports no "significant difference in time on task between proactive and reactive tutoring" in either sample; equivalence was not tested.

"we did not find a significant difference in time on task between proactive and reactive tutoring in either the IK bandwidth subsample or the full sample, i.e., time on task did not differ reliably between the two tutoring approaches."

Discussion¶

Learner Variables¶

• Time and Continuity — outcome: instruction changes it

Related Claims¶

• Introducing human-AI tutoring improves relative MAP academic growth by 61% over an AI-only baseline within the IK bandwidth — related
• Both hint conditions took more time-on-task than control, but ChatGPT and human tutor conditions did not differ in session time — related
• At the median cutoff, proactive and reactive tutoring show no significant difference in MAP growth, with proactive benefits increasing for students farther below the cutoff — related
• Proactive tutoring produced larger relative MAP growth than reactive tutoring on average (75% marginally significant in the IK bandwidth) — related
• Human-AI tutoring is associated with a 36% rise in IXL skill proficiency, but the gap widened in favor of reactively tutored students (difference-in-differences preprint) — related
• Proactive AI agent dialogues showed stronger conceptual–adequate reasoning links while reactive dialogues showed stronger factual/off-task associations — related
• Proactive tutoring increases learners' use of metacognitive help tools compared with reactive tutoring — related