Investigating Students’ Experiences with Collaboration Analytics for Remote Group Meetings

Qi Zhou*, Wannapon Suraworachet, Stanislav Pozdniakov, Roberto Martinez-Maldonado, Tom Bartindale, Peter Chen, Dan Richardson, Mutlu Cukurova

*Corresponding author for this work

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

14 Citations (Scopus)

Abstract

Remote meetings have become the norm for most students learning synchronously at a distance during the ongoing coronavirus pandemic. This has motivated the use of artificial intelligence in education (AIED) solutions to support the teaching and learning practice in these settings. However, the use of such solutions requires new research particularly with regards to the human factors that ultimately shape the future design and implementations. In this paper, we build on the emerging literature on human-centred AIED and explore students’ experiences after interacting with a tool that monitors their collaboration in remote meetings (i.e., using Zoom) during 10 weeks. Using the social translucence framework, we probed into the feedback provided by twenty students regarding the design and implementation requirements of the system after their exposure to the tool in their course. The results revealed valuable insights in terms of visibility (what should be made visible to students via the system), awareness (how can this information increase students’ understanding of collaboration performance), and accountability (to what extent students take responsibility of changing their behaviours based on the system’s feedback); as well as the ethical and privacy aspects related to the use of collaboration analytics tools in remote meetings. This study provides key suggestions for the future design and implementations of AIED systems for remote meetings in educational settings.

Original languageEnglish
Title of host publicationArtificial Intelligence in Education - 22nd International Conference, AIED 2021, Proceedings
EditorsIdo Roll, Danielle McNamara, Sergey Sosnovsky, Rose Luckin, Vania Dimitrova
Place of PublicationCham
PublisherSpringer
Pages472-485
Number of pages14
ISBN (Electronic)9783030782924
ISBN (Print)9783030782917
DOIs
Publication statusPublished - 11 Jun 2021
Externally publishedYes
Event22nd International Conference on Artificial Intelligence in Education, AIED 2021 - Virtual, Online
Duration: 14 Jun 202118 Jun 2021

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12748 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference22nd International Conference on Artificial Intelligence in Education, AIED 2021
CityVirtual, Online
Period14/06/2118/06/21

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