Analyzing speech data to detect work environment in group activities

Valeria Barzola, Eddo Alvarado, Carlos Loja, Alex Velez, Ivan Silva, Vanessa Echeverria

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review


Collaboration is one required skill for the future workforce that requires constant practice and evaluation. However, students often lack formative feedback and support for their collaboration skills during their formal learning. Current technologies for emergent learning due to COVID-19 could make visible digital traces of collaboration to support timely feedback. This work aims to automatically detect the group work environment using speech data captured during group activities. Grounded in literature and students’ perspectives, this work defines and implements three indicators for detecting the work environment namely noise, silence and speech time. Three experts rated two hundred thirty-two video instances lasting 30-secs each to get a group work environment score. We report the results of two machine learning models for detecting the group work environment and briefly reflect on these results.

Original languageEnglish
Title of host publicationArtificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners’ and Doctoral Consortium - 23rd International Conference, AIED 2022 Durham, UK, July 27–31, 2022 Proceedings, Part II
EditorsMaria Mercedes Rodrigo, Noburu Matsuda, Alexandra I. Cristea, Vania Dimitrova
Place of PublicationCham Switzerland
Number of pages5
ISBN (Electronic)9783031116476
ISBN (Print)9783031116469
Publication statusPublished - 2022
Externally publishedYes
EventInternational Conference on Artificial Intelligence in Education 2022 - Durham, United Kingdom
Duration: 27 Jul 202231 Jul 2022
Conference number: 23rd

Publication series

NameLecture Notes in Computer Science
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


ConferenceInternational Conference on Artificial Intelligence in Education 2022
Abbreviated titleAIED 2022
Country/TerritoryUnited Kingdom
Internet address


  • Automatic feedback
  • Collaboration feedback
  • Group work environment
  • Human-centered analytics

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