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A co-orchestration technology ecosystem combining intelligent tutoring systems, peer tutoring, and a teacher-facing orchestration tool.

Design · All designs
Evidence · 2 claims (2 for) · 1 study (1 design), q2 · 0 of 1 report an effect size · 2 claims rest on one study

Description

The article describes a technology ecosystem for dynamic combinations of individual and collaborative learning. It consists of "two intelligent tutoring systems and a teacher-facing co-orchestration tool that allows dynamic pairing." The orchestration tool helps teachers make real-time, data-informed decisions about when students should switch between learning modes, using rule-based pairing suggestions based on Bayesian Knowledge Tracing, knowledge distance, and student struggle status.

Design Implications

Context

Requirements

  • An ITS for individual algebra practice, a peer-tutoring system for collaborative work, and a teacher-facing tool with access to real-time learning analytics.

Constraints

  • Designed for algebra and equation-solving content.

Target Learners

  • K-12 mathematics students

Learning Goals

  • algebra equation solving
  • peer tutoring
  • collaborative problem-solving

Claims

Examples

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Key Sources

  • Kexin Bella Yang, Menghan Liu, Liyi Xu, Nikol Rummel, and Vincent Aleven. (2026). Balancing Teacher and Student Agency: Co-Orchestration Tool Design Supporting Real-Time Dynamic Pairing. https://doi.org/10.1145/3816902
Page metadata
Field Value
type design
id element-dynamic-pairing-co-orchestration-ecosystem
title A co-orchestration technology ecosystem combining intelligent tutoring systems, peer tutoring, and a teacher-facing orchestration tool.
description The article describes a technology ecosystem for dynamic combinations of individual and collaborative learning.
status review
generated by process:settle-candidates on 2026-10-12
trust unverified — no one has confirmed this page's content
sources 1 — kexin-bella-yang-2026

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