Roger Nkambou, Riichiro Mizoguchi, Jacqueline Bourdeau's Advances in Intelligent Tutoring Systems PDF
By Roger Nkambou, Riichiro Mizoguchi, Jacqueline Bourdeau
The concept for this e-book on clever Tutoring platforms (ITS) used to be sparked by way of the good fortune of the ITS’08 foreign convention. The variety of shows and their caliber bore witness to the energy and adulthood of the sphere, and the passion of the contributors held out a promise of sustainability and leading edge examine. lengthy lifestyles to ITS learn! The ebook is split into 5 components. The introductory chapters to those elements, which summarize foundations, advancements, strengths and weaknesses in all the components lined, are addressed to all readers. if you happen to wish extra in-depth wisdom, we provide the ground to researchers who current their paintings, their effects, and their view of what the longer term holds. it's our desire that each one readers will locate the ebook informative and thought-provoking.
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Additional info for Advances in Intelligent Tutoring Systems
It also illustrates the model-tracing algorithm in greater detail than many previous publications. Second, a rule-based model used in the Geometry Cognitive Tutor illustrates how ease of engineering is a second important concern shaping a model used in a large-scale tutor. Although cognitive fidelity and ease of engineering are sometimes at odds, overall the model used in the Geometry Cognitive Tutor meets both concerns to a significant degree. On-going work in educational data mining may lead to novel techniques for improving the cognitive fidelity of models and thereby the effectiveness of tutors.
The manner in which the specific learning context is considered). 20 R. Nkambou The expressivity of an encoding language is a measure of the range of constructs that can be used to formally, flexibly, explicitly and accurately describe the components of the domain. However, there is a compromise that has to be made between expressivity (what you can say) and complexity (whether the language is computable in real time). Inference capacity is generally rooted in a formal semantic system and based on an inference procedure.
The role of such a system is discussed, especially with respect to the diagnosis of misconceptions and the generation of tutoring interventions based on confronting learners with the consequences of their conceptions. 3 Part 3: Modeling the Student This part presents an overview of techniques used for student modeling. Specific emphasis is given to some important approaches for building the student model: the data mining approach, the open learner modeling approach and the Bayesian network approach.
Advances in Intelligent Tutoring Systems by Roger Nkambou, Riichiro Mizoguchi, Jacqueline Bourdeau