The effect of digital versus traditional orchestration on collaboration in small groups

Kurt VanLehn, Hugh Burkhardt, Salman Cheema, Seokmin Kang, Daniel Pead, Alan Schoenfeld, Jon Wetzel

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

We are developing an intelligent orchestration system named FACT (Formative Assessment using Computational Technology). Orchestration refers the teacher’s management of a face-to-face classroom workflow that mixes small group, individual and whole class activities. FACT is composed of an unintelligent Media system and an intelligent Analysis system. Although the Analysis system, which is still being refined, is designed to increase collaboration, prior work suggests that the Media system could possibly harm collaboration. Thus, we conducted an evaluation of the FACT Media system in classrooms, comparing it against traditional classrooms. We coded videos of small groups in order to measure their collaboration. The FACT Media system did no harm: the distribution of collaboration codes in FACT classrooms is statistically similar to the distribution in traditional classrooms. This null result is welcome news and sets the stage for testing the benefits of the Analysis system.

Original languageEnglish (US)
Title of host publicationArtificial Intelligence in Education - 19th International Conference, AIED 2018, Proceedings
EditorsRose Luckin, Kaska Porayska-Pomsta, Benedict du Boulay, Manolis Mavrikis, Carolyn Penstein Rosé, Bruce McLaren, Roberto Martinez-Maldonado, H. Ulrich Hoppe
PublisherSpringer Verlag
Pages369-373
Number of pages5
ISBN (Print)9783319938455
DOIs
StatePublished - 2018
Event19th International Conference on Artificial Intelligence in Education, AIED 2018 - London, United Kingdom
Duration: Jun 27 2018Jun 30 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10948 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other19th International Conference on Artificial Intelligence in Education, AIED 2018
CountryUnited Kingdom
CityLondon
Period6/27/186/30/18

Keywords

  • Collaboration
  • Digital media
  • Orchestration

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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