Classroom size, activity and attendance: Scaling up drivers of learning space occupation

Amelia Brennan, Christina Peace, Pablo Munguia

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

4 Citations (Scopus)

Abstract

Teaching face-to-face is still a major education mode in many universities, yet institutions are increasingly tasked with improving efficient use of teaching spaces. This need to understand space use can be coupled with learning and teaching data to better inform student attendance and subsequently participation. Here, we analyse thermal sensor data used to monitor traffic into classrooms; these data are associated with the timetable to provide knowledge of the course and the teaching mode (such as lecture, tutorial or workshop). Further, we integrate these traffic data with student feedback data to investigate the drivers of student attendance patterns, and aim to also include online activity and behaviour to develop broad models of both room occupancy and student attendance. Combining space utilisation data with information on teaching modality and in-class and out-of-class participation can inform on how to both improve learning and design effective and efficient teaching spaces.

Original languageEnglish
Title of host publicationProceedings of the 8th International Conference on Learning Analytics and Knowledge
Subtitle of host publicationTowards User-Centred Learning Analytics, LAK 2018
Place of PublicationNew York, NY
PublisherAssociation for Computing Machinery
Pages255-259
Number of pages5
ISBN (Electronic)9781450364003
DOIs
Publication statusPublished - 7 Mar 2018
Externally publishedYes
Event8th International Conference on Learning Analytics and Knowledge, LAK 2018 - Sydney, Australia
Duration: 5 Mar 20189 Mar 2018

Publication series

NameACM International Conference Proceeding Series

Conference

Conference8th International Conference on Learning Analytics and Knowledge, LAK 2018
Country/TerritoryAustralia
CitySydney
Period5/03/189/03/18

Keywords

  • Class attendance
  • Learning spaces
  • learning data
  • teaching data

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