Titlebook: Augmented Intelligence and Intelligent Tutoring Systems; 19th International C Claude Frasson,Phivos Mylonas,Christos Troussas Conference pr

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SAGE

Constantin A. Bona,Adrian I. Bot difficulty estimates derived from IRT. The results suggest that this method allowed for personalized and adaptive recommendations of items within the user-selected threshold while avoiding those with an already achieved target score. Experiments were performed on a real data set to demonstrate the

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PSA-velocity

Genetic Improvement of Bioenergy Crops developed method and accompanying tools support group work and increase the independence of blind students in the process of learning mathematics. The platform also increases communication with and detailed ongoing assessment of the student’s progress by the teacher.

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Rakesh Kumar Singh,M. Prakash,S. Thirumeni of the problem associated with complete submission, in program form, in the detection of system manipulation. To conduct the detector’s development, we developed an appropriate environment for data collection and preparation of these data to be used by supervised machine learning algorithms, allowi

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jungle

Root-Knot Resistance in Tomato, model and majority voting across different textbooks to discover common domain terms related to computer programming. Our results indicate that using approximate string matching gives more accurate domain models for computer programming with increased precision and recall. By automating our approac

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Segmentation as an Optimization Problem,part in different flights with different scenarios. Based on eye-tracking features, and as well as the amount of visual attention they paid to each window and tool within the simulation of an A320 aircraft, the amount of their visual attention is calculated.