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CLARA (Collaboration Literacy through Artifact Reasoning and Augmentation)

Product or Programme · All products and programmes
Evidence · 3 claims (3 for) · 1 study (1 design), q2 · 0 of 1 report an effect size · 3 claims rest on one study

Description

CLARA is an agentic analytics system developed by Dawei Xie and colleagues that transcribes discussions, generates and indexes collaboration artifacts, and provides artifact-grounded analyses for learners and educators.

Components

  • CLARA agentic analytics system: CLARA (Collaboration Literacy through Artifact Reasoning and Augmentation) is an agentic analytics system that transcribes discussions in real time, computes psycholinguistic metrics, and uses GPT-4.1 to generate concept maps and 7C collaboration assessments from transcripts. Artifacts are embedded with text-embedding-3-large and indexed into distinct ChromaDB collections, and a ReAct agent built with LangGraph and GPT-4.1-mini iteratively calls six tools (including search_sessions, get_concept_map, get_assessment, get_speaker_profile) to synthesize responses traceable to stored artifacts. Users can explore artifacts on a dashboard and constrain which artifact types the agent may consult. (Dawei Xie et al. (2026))

Claims

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Key Sources

  • Dawei Xie, Khalil Anderson, Tochukwu Eze, Chenghong Lin, Bookyung Shin, and Marcelo Worsley. (2026). CLARA: An AI-Augmented Analytics Dashboard for Collaboration Literacy. https://arxiv.org/abs/2605.17259
Page metadata
Field Value
type product
id clara-collaboration-literacy-through-artifact-reasoning-and-augmentation
title CLARA (Collaboration Literacy through Artifact Reasoning and Augmentation)
description CLARA is an agentic analytics system developed by Dawei Xie and colleagues that transcribes discussions, generates and indexes collaboration artifacts, and provides artifact-grounded analyses for learners and educators.
status review
product_kind software
generated by process:settle-candidates on 2026-10-10
trust unverified — no one has confirmed this page's content

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