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Titlebook: Intelligent Tutoring Systems; 15th International C Andre Coy,Yugo Hayashi,Maiga Chang Conference proceedings 2019 Springer Nature Switzerla

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Adaptive Learning Spaces with Context-Awareness,aper discusses issues about the modelling of a context-aware learning space ontology. The paper is based on an ongoing collaborative research, which focuses on the interface of learning space and context-aware learning. The long-term goal of this project is to introduce the notion of learning space
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An Adaptive Approach to Provide Feedback for Students in Programming Problem Solving,lving activities. It provides feedback for students during the coding, helping them to fix mistakes and how to take the next steps to complete the solution. This way, the student does not need to complete and submit a solution to get feedback from the system. The approach uses three feedback resourc
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Analysis and Prediction of Student Emotions While Doing Programming Exercises, in typical interaction models characterized by frequent communication or dialogue between the student and the tutoring model. In this paper, we analyze emotions while students are writing computer programs without any human or agent communication to induce displays of affect. We use a combination o
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Analyzing the Group Formation Process in Intelligent Tutoring Systems,tems (ITSs) have the opportunity of supporting them. In this work, we present a group formation tool that allows teachers to create easily and efficiently groups of students based on the K-means algorithm. Our tool allows creating the groups using videos’ and exercises’ information. Moreover, we hav
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,Assessing Students’ Clinical Reasoning Using Gaze and EEG Features,rd gaze and EEG data of 15 novice medical students as they interacted with a computer-based learning environment in order to treat medical cases. We describe our approach to track the learners’ reasoning process using the visual scanpath followed during the clinical diagnosis and present our methodo
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Computer-Aided Intervention for Reading Comprehension Disabilities,rly elementary education. The work can facilitate placement of students with similar reading disabilities in the same intervention group to optimize corrective actions. We collected ELA (English Language Arts) assessment data from two different schools in NY, USA, involving 365 students in total. To
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,Conceptualization of IMS that Estimates Learners’ Mental States from Learners’ Physiological Informthis study, we tried to extract the relationships between the learner’s mental states and the learner’s physiological information complemented by the teacher’s speech acts using machine learning. The results of the system simulation showed that the system could estimate the learner’s mental states i
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