| Introduction: Virtual, augmented, and mixed realities in education CJ Dede, J Jacobson, J Richards Virtual, augmented, and mixed realities in education, 1-16, 2017 | 437 | 2017 |
| Benefits of a tangible interface for collaborative learning and interaction B Schneider, P Jermann, G Zufferey, P Dillenbourg IEEE Transactions on Learning Technologies 4 (3), 222-232, 2010 | 308 | 2010 |
| Real-time mutual gaze perception enhances collaborative learning and collaboration quality B Schneider, R Pea Educational Media and Technology Yearbook: Volume 40, 99-125, 2017 | 231 | 2017 |
| What can we learn from augmented reality (AR)? Benefits and drawbacks of AR for inquiry-based learning of physics I Radu, B Schneider Proceedings of the 2019 CHI conference on human factors in computing systems …, 2019 | 194 | 2019 |
| Preparing for future learning with a tangible user interface: The case of neuroscience B Schneider, J Wallace, P Blikstein, R Pea IEEE Transactions on Learning Technologies 6 (2), 117-129, 2013 | 120 | 2013 |
| Unraveling Students' Interaction around a Tangible Interface Using Multimodal Learning Analytics. B Schneider, P Blikstein Journal of Educational Data Mining 7 (3), 89-116, 2015 | 112 | 2015 |
| Leveraging mobile eye-trackers to capture joint visual attention in co-located collaborative learning groups B Schneider, K Sharma, S Cuendet, G Zufferey, P Dillenbourg, R Pea International Journal of Computer-Supported Collaborative Learning 13, 241-261, 2018 | 100 | 2018 |
| Phylo-Genie: engaging students in collaborative'tree-thinking'through tabletop techniques B Schneider, M Strait, L Muller, S Elfenbein, O Shaer, C Shen Proceedings of the SIGCHI Conference on Human Factors in Computing Systems …, 2012 | 86 | 2012 |
| Using mobile eye-trackers to unpack the perceptual benefits of a tangible user interface for collaborative learning B Schneider, K Sharma, S Cuendet, G Zufferey, P Dillenbourg, R Pea ACM Transactions on Computer-Human Interaction (TOCHI) 23 (6), 1-23, 2016 | 70 | 2016 |
| Situating multimodal learning analytics M Worsley, D Abrahamson, P Blikstein, S Grover, B Schneider, ... | 66 | 2016 |
| Flipping the flipped classroom: A study of the effectiveness of video lectures versus constructivist exploration using tangible user interfaces B Schneider, P Blikstein IEEE transactions on learning technologies 9 (1), 5-17, 2015 | 57 | 2015 |
| Toward collaboration sensing B Schneider, R Pea International Journal of Computer-Supported Collaborative Learning 9 (4 …, 2014 | 57 | 2014 |
| Interactive surfaces and learning analytics: Data, orchestration aspects, pedagogical uses and challenges R Martinez-Maldonado, B Schneider, S Charleer, S Buckingham Shum, ... Proceedings of the Sixth international conference on learning analytics …, 2016 | 53 | 2016 |
| Collaboration analytics—current state and potential futures B Schneider, N Dowell, K Thompson Journal of Learning Analytics 8 (1), 1-12, 2021 | 46 | 2021 |
| Does seeing one another’s gaze affect group dialogue? A computational approach B Schneider, R Pea Journal of Learning Analytics 2 (2), 107-133, 2015 | 46 | 2015 |
| Should students design or interact with models? Using the Bifocal Modelling Framework to investigate model construction in high school science T Fuhrmann, B Schneider, P Blikstein International Journal of Science Education 40 (8), 867-893, 2018 | 41 | 2018 |
| Unpacking the relationship between existing and new measures of physiological synchrony and collaborative learning: A mixed methods study B Schneider, Y Dich, I Radu International Journal of Computer-Supported Collaborative Learning 15, 89-113, 2020 | 40 | 2020 |
| Predicting the Quality of Collaborative Problem Solving through Linguistic Analysis of Discourse. JM Reilly, B Schneider International Educational Data Mining Society, 2019 | 40 | 2019 |
| 3D tangibles facilitate joint visual attention in dyads B Schneider, K Sharma, S Cuendet, G Zufferey, P Dillenbourg, RD Pea International Society of the Learning Sciences, Inc.[ISLS]., 2015 | 39 | 2015 |
| Identifying Collaborative Learning States Using Unsupervised Machine Learning on Eye-Tracking, Physiological and Motion Sensor Data. K Huang, T Bryant, B Schneider International Educational Data Mining Society, 2019 | 38 | 2019 |
Iulian RaduHarvard University在 gatech.edu 的电子邮件经过验证
