Adaptive AI support directs regulatory activity toward monitoring while static AI support produces strategy-focused, procedural regulation¶

Claim · All claims
Evidence · 1 study · causal r1 · q3 · i3 large
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q3 i3 Adaptive MAI groups showed strong transitions from joint attention, mutual gaze, and prox_close to monitoring; static MAI groups showed more prominent transitions toward selecting and enacting strategy; the conditions differed significantly along RR1 (U = 60.00, p < 0.001, r = −1.00). → Ridwan Whitehead · Andy Nguyen · Sanna Järvelä 2026

Evidence¶

Ridwan Whitehead · Andy Nguyen · Sanna Järvelä 2026¶

Ridwan Whitehead · Andy Nguyen · Sanna Järvelä. (2026). How gaze and proxemics shape and signal shared regulatory processes during AI-supported collaborative learning. Intern. J. Comput.-Support. Collab. Learn. https://doi.org/10.1007/s11412-026-09478-7

q3 · i3 · causal · r1

Mann–Whitney comparison of subtracted TONA networks between adaptive MAI (13 groups) and static MAI (4 groups, N = 13) conditions, with a significant RR1 difference (U = 60.00, p < 0.001, r = −1.00); the SVD2 difference was nonsignificant (U = 22.00, p = 0.47, r = 0.27).

"A significant difference along RR1 (U = 60.00, p < 0.001, r = −1.00) placed adaptive MAI (median [Mdn] = −0.07) and static MAI (Mdn = 0.35) at opposite ends of the relational continuum."

Discussion¶

Related Claims¶

• When groups are physically far apart, mutual gaze forms the dominant pathway into monitoring, and behavioral challenges dominate — related
• Proactive feedback produces significant post-intervention increases in Joint Visual Attention of dyads — related
• Proxemic configuration significantly shifts the relational organization of regulation, from a visually anchored system when far to a strategy-oriented system when close — related
• Joint attention is a group phenomenon not reducible to either individual's mental representations — related