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User Models for Adaptive Hypermedia and Adaptive Educational Systems
This chapter complements other chapters of this book in reviewing user models and user modeling approaches applied in adaptive Web systems by focusing on the overlay approach to user model representation and the uncertainty-based approach touser modeling. Expand
SIETTE: A Web-Based Tool for Adaptive Testing
The goal of this work is to develop a web-based tool to assist teachers and instructors in the assessment process, called SIETTE, and its theoretical bases are Computer Adaptive Testing and Item Response Theory. Expand
Bayesian networks for student model engineering
The purpose of this paper is to provide education practitioners with the background and examples needed to understand Bayesian networks and use them to design and implement student models. Expand
A Bayesian Diagnostic Algorithm for Student Modeling and its Evaluation
In this paper, we present a new approach to diagnosis in student modeling based on the use of Bayesian Networks and Computer Adaptive Tests. A new integrated Bayesian student model is defined andExpand
Using Bayesian networks to improve knowledge assessment
The integration and evaluation of an existing generic Bayesian student model (GBSM) into an existing computerized testing system within the Mathematics Education Project (PmatE) of the University of Aveiro and results show a high degree of agreement among the scores given by the experts and also among the diagnosis provided by the BSM in the written exam and expert's average. Expand
Introducing Prerequisite Relations in a Multi-layered Bayesian Student Model
An extension of a previously developed generic student model based on Bayesian Networks is presented, adding a new layer to include prerequisite relationships to improve the efficiency of the diagnosis process by allowing increased accuracy or reductions in the test length. Expand
Adaptive Bayesian Networks for Multilevel Student Modelling
An integrated theoretical approach for student modelling based on an Adaptive Bayesian Network is provided, and new question selection criteria presented, and a tool to assist in the diagnosis process has been implemented. Expand
Designing a Dynamic Bayesian Network for Modeling Students' Learning Styles
A student model to account for learning styles is presented, based on the model defined by Felder and Sylverman and implemented using dynamic Bayesian networks. Expand
The NISPI framework: Analysing collaborative problem-solving from students' physical interactions
The results show that the NISPI framework can be used to judge students' CPS competence levels accurately based on their non-verbal behaviour data, which has significant implications for design, research and development of educational technology. Expand
An Empirical Approach to On-Line Learning in SIETTE
Different empirical experiments have been performed with SIETTE to study the influence of the parameters of characteristic item curves and selection criteria in test length and accuracy and to study different learning strategies for these parameters. Expand