%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 }