AI-Assisted Diagnostics of Climate Policy Divergence: Emissions Trajectories, 2030 Commitments, and the Spanish Case

Javier Marcos Arévalo

doi:10.1002/bse.71414

The Effects of Collaborative Planning on CALF Metrics and Textual Coherence in L2 Writing under Varying Task Complexity

2026-06-18

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PRE

AI

H

He Chongrui

L

Liu Eerdemutu *

DOI：10.1016/j.system.2026.104094

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• Collaborative planning boosts accuracy & coherence in L2 writing, especially under high task complexity. • Working memory moderates collaboration's benefit: it compensates for low-WM learners’ limitations. • Introduces & validates “Logic-Related Episodes” (LREs-logic) as a key mechanism for building coherence. • Proposes a novel Integrated Compensatory Model of L2 writing, bridging cognitive and social perspectives. • Employs a robust 2x2 experimental design with hierarchical regression to test a three-way interaction.

The Effects of Collaborative Planning on CALF Metrics and Textual Coherence in L2 Writing under Varying Task Complexity

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