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Leveraging mobile eye-trackers to capture joint visual attention in co-located collaborative learning groups.

, , , , , and . Int. J. Comput. Support. Collab. Learn., 13 (3): 241-261 (2018)

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Cascaded model adaptation for dialog act segmentation and tagging., , , and . Comput. Speech Lang., 24 (2): 289-306 (2010)Designing augmented reality for the classroom., , , and . Comput. Educ., (2013)Task Performance vs. Learning Outcomes: A Study of a Tangible User Interface in the Classroom., , , , and . EC-TEL, volume 6383 of Lecture Notes in Computer Science, page 78-92. Springer, (2010)Co-training using prosodic and lexical information for sentence segmentation., , , and . INTERSPEECH, page 2597-2600. ISCA, (2007)Automatic Labeling Inconsistencies Detection and Correction for Sentence Unit Segmentation in Conversational Speech., , and . MLMI, volume 4892 of Lecture Notes in Computer Science, page 144-155. Springer, (2007)Tangible vs. virtual representations: when tangibles benefit the training of spatial skills., , and . NordiCHI, page 99-108. ACM, (2012)A Hindi speech recognizer for an agricultural video search application., , , and . ACM DEV (3), page 5:1-5:8. ACM, (2013)Screen or Tabletop: An Eye-Tracking Study of the Effect of Representation Location in a Tangible User Interface System., , , , and . EC-TEL, volume 9307 of Lecture Notes in Computer Science, page 473-478. Springer, (2015)Tangible interfaces: when physical-virtual coupling may be detrimental to learning., , and . BCS HCI, page 49-58. British Computer Society, (2012)Tangible Interfaces for Learning - Training Spatial Skills in Vocational Classrooms.. EPFL, Switzerland, (2013)