Itai Diner

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We explore the feasibility of measuring learner engagement and classifying the engagement level based on machine learning applied on data from 2D/3D camera sensors and eye trackers in a 1:1 learning setting. Our results are based on nine pilot sessions held in a local high school where we recorded features related to student engagement while consuming(More)
119 so-called "long-term" hospitalised patients (more than 4 months stay in the hospital) have been described by the records of illness and the AMDP documentation system. They were also examined 1 year after discharge. 92.5% of the "long-term" patients have been classified as "improved" or "well improved" when leaving the hospital. 1 year later 51.6% of(More)
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