The Moodoo Library: Quantitative Metrics to Model How Teachers Make Use of the Classroom Space by Analysing Indoor Positioning Traces (Extended Abstract)
%0 Conference Paper
%1 ijcai2021-654
%A Martinez-Maldonado, Roberto
%A Echeverria, Vanessa
%A Mangaroska, Katerina
%A Shibani, Antonette
%A Fernandez-Nieto, Gloria
%A Schulte, Jurgen
%A Shum, Simon Buckingham
%B Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI-21
%D 2021
%E Zhou, Zhi-Hua
%I International Joint Conferences on Artificial Intelligence Organization
%K analytics classroom hls hybrid learning space
%P 4799--4803
%T The Moodoo Library: Quantitative Metrics to Model How Teachers Make Use of the Classroom Space by Analysing Indoor Positioning Traces (Extended Abstract)
@inproceedings{ijcai2021-654,
added-at = {2021-08-22T10:08:26.000+0200},
author = {Martinez-Maldonado, Roberto and Echeverria, Vanessa and Mangaroska, Katerina and Shibani, Antonette and Fernandez-Nieto, Gloria and Schulte, Jurgen and Shum, Simon Buckingham},
biburl = {https://www.bibsonomy.org/bibtex/249f377f8e7f892955e806b80a1e75008/yish},
booktitle = {Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, {IJCAI-21}},
editor = {Zhou, Zhi-Hua},
interhash = {825c7e3b292e44820cf4dda93412c6d0},
intrahash = {49f377f8e7f892955e806b80a1e75008},
keywords = {analytics classroom hls hybrid learning space},
month = {8},
note = {Sister Conferences Best Papers},
pages = {4799--4803},
publisher = {International Joint Conferences on Artificial Intelligence Organization},
timestamp = {2021-08-22T10:09:49.000+0200},
title = {The Moodoo Library: Quantitative Metrics to Model How Teachers Make Use of the Classroom Space by Analysing Indoor Positioning Traces (Extended Abstract)},
year = 2021
}