“I spent more time with that team”: making spatial pedagogy visible using positioning sensors

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

9 Citations (Scopus)

Abstract

Teachers are often encouraged to adopt different positioning strategies at various stages of a classroom lesson as each can influence learners in different ways. However, little work has been done to make evidence of the use of classrooms visible to teachers and students. As sensors drop in price, it is becoming more viable to capture traces of the use of the physical classroom space automatically. In this paper, we build on the notion of spatial pedagogy to propose an approach to visualise digital traces of teacher positioning in the classroom. We illustrate our approach through an authentic case study of a teacher enacting three distinctive learning designs. We document the teacher's and students' reactions to visual representations of positioning data to explore their potential as proxies of spatial pedagogy.

Original languageEnglish
Title of host publicationProceedings of the 9th International Conference on Learning Analytics & Knowledge (LAK’19)
EditorsRebecca Ferguson, Ulrich Hoppe, Christopher Brooks
Place of PublicationNew York NY USA
PublisherAssociation for Computing Machinery (ACM)
Pages21-25
Number of pages5
ISBN (Electronic)9781450362566
DOIs
Publication statusPublished - 2019
Externally publishedYes
EventInternational Learning Analytics & Knowledge Conference 2019 - Arizona State University, Tempe, United States of America
Duration: 4 Mar 20198 Mar 2019
Conference number: 9th
https://lak19.solaresearch.org/

Conference

ConferenceInternational Learning Analytics & Knowledge Conference 2019
Abbreviated titleLAK 2019
CountryUnited States of America
CityTempe
Period4/03/198/03/19
Internet address

Keywords

  • Classroom
  • IoT
  • Learning spaces
  • Mobility tracking
  • Wearables

Cite this

Martinez-Maldonado, R. (2019). “I spent more time with that team”: making spatial pedagogy visible using positioning sensors. In R. Ferguson, U. Hoppe, & C. Brooks (Eds.), Proceedings of the 9th International Conference on Learning Analytics & Knowledge (LAK’19) (pp. 21-25). Association for Computing Machinery (ACM). https://doi.org/10.1145/3303772.3303818