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

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Language Proficiency Enhanced Knowledge Tracing. Recently, studies have attempted to improve the performance of the knowledge tracing model by incorporating various types of side information. We propose a knowledge tracing method that utilizes the learner’s language proficiency as side information. Language proficiency is a key component of comp

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Recommending Mathematical Tasks Based on?Reinforcement Learning and?Item Response Theoryand motivation. This requires considering their individual goals to improve learning efficiency on one side and on the other to provide tasks with an appropriate difficulty for the particular person. Apparently, this is not a trivial issue, and various approaches have been investigated in the areas

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Automatic Execution of?the?Ontological Piloting Proceduresanguages allow for capturing highly complex domain knowledge. However, the automatic manipulation of knowledge to support the execution of a complex task by humans is a current research issue. This paper presents a solution for interpreting a complex ontological knowledge formalization about aircraf

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Method and Tools to Supporting Math Learning in Inclusive Education of Blind Studentsting. The platform` provides alternative means for presenting information typically included as images in mathematical exercises via tablets and an audio-touch interface. The research used a prepared set of 40 exercises on the properties of geometric figures, and it covered 5 inclusive classrooms at

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Detecting Mental Fatigue in Intelligent Tutoring Systems mood, motivation, and temporary deterioration of various cognitive functions involved in goal-directed behavior. In this paper, we present our framework to successfully generate and measure mental fatigue through completion of cognitive tasks in a virtual simulated environment. Participants showed

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An Approach to Generating Adaptive Feedback for Online Formative Assessmentg in a domain. It combines the domain model based expert-driven model with question-answering based data-driven model. The domain model is an AND/OR graph of domain knowledge structure based on the revised Bloom’s taxonomy, defining the learning objectives of the domain and the corresponding pre-req

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