Keeping the teacher in the loop: Technologies for monitoring group learning in real-time

Avi Segal, Shaked Hindi, Naomi Prusak, Osama Swidan, Adva Livni, Alik Palatnic, Baruch Schwarz, Ya’akov Kobi Gal

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

20 Scopus citations

Abstract

Learning in groups allows students to develop academic and social competencies but requires the presence of a human teacher that is actively guiding the group. In this paper we combine data-mining and visualization tools to support teachers’ understanding of learners’ activities in an inquiry based learning environment. We use supervised learning to recognize salient states of activity in the group’s work, such as reaching a solution to a problem, exhibiting idleness, or experiencing technical challenges. These “critical” moments are visualized to teachers in real time, allowing them to monitor several groups in parallel and to intervene when necessary to guide the group. We embedded this technology in a new system, called SAGLET, which augments existing collaborative educational software and was evaluated empirically in real classrooms. We show that the recognition capabilities of SAGLET are compatible with that of a human domain expert. Teachers were able to use the system successfully to make intervention decisions in groups when deemed necessary, without overwhelming them with information. Our results demonstrate how AI can be used to augment existing educational environments to support the “teacher in the group”, and to scale up the benefits of group learning to the actual classroom.

Original languageEnglish
Title of host publicationArtificial Intelligence in Education - 18th International Conference, AIED 2017, Proceedings
EditorsElisabeth Andre, Xiangen Hu, Ma. Mercedes T. Rodrigo, Benedict du Boulay, Ryan Baker
PublisherSpringer Verlag
Pages64-76
Number of pages13
ISBN (Print)9783319614243
DOIs
StatePublished - 1 Jan 2017
Event18th International Conference on Artificial Intelligence in Education, AIED 2017 - Wuhan, China
Duration: 28 Jun 20171 Jul 2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10331 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference18th International Conference on Artificial Intelligence in Education, AIED 2017
Country/TerritoryChina
CityWuhan
Period28/06/171/07/17

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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