%0 Journal Article %1 Schneider_2021 %A Schneider, Bertrand %A Sung, Gahyun %A Chng, Edwin %A Yang, Stephanie %D 2021 %I MDPI AG %J Sensors %K collaboration empiricalstudies learninganalytics multimodaldata sensors systematicreview %N 24 %P 8185 %R 10.3390/s21248185 %T How Can High-Frequency Sensors Capture Collaboration? A Review of the Empirical Links between Multimodal Metrics and Collaborative Constructs %U https://doi.org/10.3390%2Fs21248185 %V 21

@article{Schneider_2021, added-at = {2022-01-23T10:00:22.000+0100}, author = {Schneider, Bertrand and Sung, Gahyun and Chng, Edwin and Yang, Stephanie}, biburl = {https://www.bibsonomy.org/bibtex/2e0572a4856d62f7c8b23f783d9b3705d/ereidt}, doi = {10.3390/s21248185}, interhash = {545881059921e6092461dc9da7842c8d}, intrahash = {e0572a4856d62f7c8b23f783d9b3705d}, journal = {Sensors}, keywords = {collaboration empiricalstudies learninganalytics multimodaldata sensors systematicreview}, month = dec, number = 24, pages = 8185, publisher = {{MDPI} {AG}}, timestamp = {2022-01-23T10:00:22.000+0100}, title = {How Can High-Frequency Sensors Capture Collaboration? A Review of the Empirical Links between Multimodal Metrics and Collaborative Constructs}, url = {https://doi.org/10.3390%2Fs21248185}, volume = 21, year = 2021 }