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Data · dataset · 2025

SRI Speech-Based Collaborative Learning Corpus

Listed in UC Berkeley Library Dataverse

SRI Speech-Based Collaborative Learning Corpus was developed by SRI International and is comprised of approximately 120 hours of English speech from 134 US middle school students working collaboratively.

Description

The data set also contains orthographic transcriptions, manual annotation of collaboration, log files, and supporting documentation. This collection was part of a project investigating the utility of a speech-based learning analytics approach to collaborative learning.

The goal was to determine whether detectable patterns exist in student speech that correlate with collaborative learning indicators and to provide a means of assessing collaboration quality. The participants were students in middle schools (grades six, seven and eight) located in California. Students worked in groups of three on sets of short mathematics problems based on the "cloze" task in which each student was assigned one blank and each problem required the students to work together and talk to each other to coordinate their three answers.

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The problems were presented on iPads with a custom software application.

Links

Where it is published

Catalogue records · 1

Topics

Stated by source
Social Sciences
From keywords
Social Science
Inferred from text
Audio 65%
Provenance · 1 source records, 9 field assertions
SourceKeyLast seenRaw
UC Berkeley Library Dataversedoi:10.60503/D3/77RE1S12 d agoJSON v1
FieldAssertionExtractorEvidence
concepts[field].dataverse_subject:social-sciencessource · datasets lib berkeley educonnector:datasets_lib_berkeley_edu@1.0.0/subjects
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concepts[modality].local:modality:audioenrichment · datasets lib berkeley edukeyword-concept-rules@1.0.0title+description (65%)
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