ProPACT

Product or Programme · All products and programmes
Evidence · 3 claims (3 for) · 1 study (1 causal), q3 · 0 of 1 report an effect size · 3 claims rest on one study

Description

ProPACT is an AI-driven adaptive collaborative tutor that uses multimodal dyadic sensing and forecast-driven prompts to support undergraduate and master's students during pair-programming debugging.

Components

Claims

• Proactive multimodal feedback significantly increases debugging success in pair programming compared to no-feedback control [+M]
• Proactive feedback produces significant post-intervention increases in Joint Visual Attention of dyads [+M]
• Proactive feedback produces significant post-intervention increases in Joint Mental Effort of dyads [+M]

Related Products and Programmes

-

Key Sources

• 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

Page metadata

Field	Value
type	product
id	propact
title	ProPACT
description	ProPACT is an AI-driven adaptive collaborative tutor that uses multimodal dyadic sensing and forecast-driven prompts to support undergraduate and master's students during pair-programming debugging.
status	review
product_kind	software
generated	by process:settle-candidates on 2026-10-11
trust	unverified — no one has confirmed this page's content

Frontmatter is the page's machine-readable record — see the Schema & Guide.