ML Anthology

The Moodoo Library: Quantitative Metrics to Model How Teachers Make Use of the Classroom Space by Analysing Indoor Positioning Traces (Extended Abstract)

Roberto Martínez Maldonado, Vanessa Echeverría, Katerina Mangaroska, Antonette Shibani, Gloria Fernández-Nieto, Jurgen Schulte, Simon Buckingham Shum
IJCAI 2021 pp. 4799-4803
doi:10.24963/IJCAI.2021/654 /ijcai/2021/maldonado2021ijcai-moodoo/

Abstract

Teachers’ spatial behaviours in the classroom can strongly influence students’ engagement, motivation and other behaviours that shape their learning. However, classroom teaching behav-iour is ephemeral, and has largely remained opaque to computational analysis. This paper presents a library called ‘Moodoo’ that can serve to automatically model how teachers make use of the classroom space by analysing indoor positioning traces. The system automatically ex-tracts spatial metrics (e.g. teacher-student ratios, frequency of visits to students’ personal spaces, presence in classroom spaces of interest, index of dispersion and entropy), mapping from the teachers’ low-level positioning data to higher-order spatial constructs.

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Text

Maldonado et al. "The Moodoo Library: Quantitative Metrics to Model How Teachers Make Use of the Classroom Space by Analysing Indoor Positioning Traces (Extended Abstract)." International Joint Conference on Artificial Intelligence, 2021. doi:10.24963/IJCAI.2021/654

Markdown

[Maldonado et al. "The Moodoo Library: Quantitative Metrics to Model How Teachers Make Use of the Classroom Space by Analysing Indoor Positioning Traces (Extended Abstract)." International Joint Conference on Artificial Intelligence, 2021.](https://mlanthology.org/ijcai/2021/maldonado2021ijcai-moodoo/) doi:10.24963/IJCAI.2021/654

BibTeX

@inproceedings{maldonado2021ijcai-moodoo,
  title     = {{The Moodoo Library: Quantitative Metrics to Model How Teachers Make Use of the Classroom Space by Analysing Indoor Positioning Traces (Extended Abstract)}},
  author    = {Maldonado, Roberto Martínez and Echeverría, Vanessa and Mangaroska, Katerina and Shibani, Antonette and Fernández-Nieto, Gloria and Schulte, Jurgen and Shum, Simon Buckingham},
  booktitle = {International Joint Conference on Artificial Intelligence},
  year      = {2021},
  pages     = {4799-4803},
  doi       = {10.24963/IJCAI.2021/654},
  url       = {https://mlanthology.org/ijcai/2021/maldonado2021ijcai-moodoo/}
}