Titlebook: Intelligent Tutoring Systems; 16th International C Vivekanandan Kumar,Christos Troussas Conference proceedings 2020 Springer Nature Switzer

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Probabilistic Approaches to Detect Blocking States in Intelligent Tutoring System,ot temporarily make any progress toward finding a solution to a problem. In this paper, we present the development of four probabilistic models to detect a blocking state of students while they are solving a Canadian high school-level problem in Euclidean geometry on an ITS. Our methodology includes

Lacunar-Stroke

,Avoiding Bias in Students’ Intrinsic Motivation Detection,with positive outcomes across domains, especially in the academic context. Therefore, understanding and identifying peoples’ levels of intrinsic motivation can be crucial for professionals of many domains, e.g. teachers aiming to offer better support to students’ learning processes and enhance their

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HERTZ

SLAY

,Explaining Traffic Situations – Architecture of a Virtual Driving Instructor,ized teaching tailored to each student, on-demand availability not depending on working hour regulations and standardized evaluation not subjective to the experience and biases of human individuals. A virtual driving instructor that supports driver training in a virtual world could conduct on-demand

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摘要記錄

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Data-Driven Analysis of Engagement in Gamified Learning Environments: A Methodology for Real-Time Mucation is accessed by a large percentage of high school graduates (50% in 2017). Still, in Brazil, a limited number of pupils leaving high schools continue their education (up to 20%). Initial pioneering efforts of universities and companies to support pupils from underprivileged backgrounds, to be

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y demand among individual consumers. Currently, efforts are being made to decarbonize electricity production with distributed solar and wind renewable energy installations. Such a shift in energy production also requires significant changes on the consumption side, in particular making demand more f