{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,8,7]],"date-time":"2024-08-07T07:36:17Z","timestamp":1723016177273},"publisher-location":"California","reference-count":0,"publisher":"International Joint Conferences on Artificial Intelligence Organization","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,8]]},"abstract":"<jats:p>Teachers\u2019 spatial behaviours in the classroom can strongly influence students\u2019 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 \u2018Moodoo\u2019  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\u2019 personal spaces, presence in classroom spaces of interest, index of dispersion and entropy), mapping from the teachers\u2019 low-level positioning data to higher-order spatial constructs.<\/jats:p>","DOI":"10.24963\/ijcai.2021\/654","type":"proceedings-article","created":{"date-parts":[[2021,8,11]],"date-time":"2021-08-11T11:00:49Z","timestamp":1628679649000},"page":"4799-4803","source":"Crossref","is-referenced-by-count":0,"title":["The Moodoo Library: Quantitative Metrics to Model How Teachers Make Use of the Classroom Space by Analysing Indoor Positioning Traces (Extended Abstract)"],"prefix":"10.24963","author":[{"given":"Roberto","family":"Martinez-Maldonado","sequence":"first","affiliation":[{"name":"Monash University, Australia"}]},{"given":"Vanessa","family":"Echeverria","sequence":"additional","affiliation":[{"name":"Escuela Superior Polit\u00e9cnica del Litoral, Ecuador"}]},{"given":"Katerina","family":"Mangaroska","sequence":"additional","affiliation":[{"name":"Monash University, Australia"}]},{"given":"Antonette","family":"Shibani","sequence":"additional","affiliation":[{"name":"University of Technology Sydney, Australia"}]},{"given":"Gloria","family":"Fernandez-Nieto","sequence":"additional","affiliation":[{"name":"University of Technology Sydney, Australia"}]},{"given":"Jurgen","family":"Schulte","sequence":"additional","affiliation":[{"name":"University of Technology Sydney, Australia"}]},{"given":"Simon Buckingham","family":"Shum","sequence":"additional","affiliation":[{"name":"University of Technology Sydney, Australia"}]}],"member":"10584","event":{"number":"30","sponsor":["International Joint Conferences on Artificial Intelligence Organization (IJCAI)"],"acronym":"IJCAI-2021","name":"Thirtieth International Joint Conference on Artificial Intelligence {IJCAI-21}","start":{"date-parts":[[2021,8,19]]},"theme":"Artificial Intelligence","location":"Montreal, Canada","end":{"date-parts":[[2021,8,27]]}},"container-title":["Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence"],"original-title":[],"deposited":{"date-parts":[[2021,8,11]],"date-time":"2021-08-11T11:04:31Z","timestamp":1628679871000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.ijcai.org\/proceedings\/2021\/654"}},"subtitle":[],"proceedings-subject":"Artificial Intelligence Research Articles","short-title":[],"issued":{"date-parts":[[2021,8]]},"references-count":0,"URL":"https:\/\/doi.org\/10.24963\/ijcai.2021\/654","relation":{},"subject":[],"published":{"date-parts":[[2021,8]]}}}