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An educational component based framework for web ITS development

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TLDR
This paper presents a framework for the integration of web-based educational systems that understands "open system" as a set of autonomous educational modules which communicate between themselves, following high-level preestablished protocols.
Abstract
This paper presents a framework for the integration of web-based educational systems. It is part of a research project, MEDEA, whose final goal is to develop a general framework to build open Intelligent Tutoring Systems (ITS). We understand "open system" as a set of autonomous educational modules which communicate between themselves, following high-level preestablished protocols. Each module can be an intelligent component with its own instruction strategies, or other components like support tools, web pages, etc. In the second case, the adaptive capabilities are left to the ITS instructor core. The architecture opens up the possibility to include new web-based components.

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Journal ArticleDOI

User model interoperability: a survey

TL;DR: An overview of the well-established literature dealing with user model interoperability is presented, discussing the most representative work which has provided valuable solutions to face interoperability issues and some open issues and possible future deployments in the area.
Journal ArticleDOI

Improving Student Performance Using Self-Assessment Tests

TL;DR: The Web has created a new generation of intelligent systems-adaptive hypermedia systems which offer new types of instructional interaction which adapt the learning process on the basis of the student's learning preferences, knowledge, and availability, and one such Web-based tool is Siette, which infers student knowledge using adaptive testing.
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An empirical study on the quantitative notion of task difficulty

TL;DR: The relationship between task difficulty estimations made by two different types of individuals, teachers and students is explored, and these values with those estimated from experimental data are compared.
Journal ArticleDOI

Enrichment of Learner Profile with Ubiquitous User Model Interoperability

TL;DR: This paper presents an application scenario of sharing and reusing information scattered in most commonly used applications to enhance learner profiles.

Student modeling services for hybrid web applications.

TL;DR: A set of resources that provide web learning environments with student modeling services that includes SAMUEL, a user modeling server for registering, updating and maintaining student knowledge data from different sources that use their own ontologies.
References
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Book

The knowledge level

Allen Newell
TL;DR: A theory of the nature of knowledge is proposed, namely, that there is another computer system level immediately above the symbol (or program) level and knowledge itself is the processing medium at this level and the principle of rationality plays a central role.
Journal ArticleDOI

The knowledge level

TL;DR: In this article, a theory of the nature of knowledge and representation is proposed, namely that there is another computer system level immediately above the symbol (or program) level, and the principle of rationality plays a central role.
Journal ArticleDOI

Generic Tasks in Knowledge-Based Reasoning: High-Level Building Blocks for Expert System Design

TL;DR: Six generic tasks that are very useful as building blocks for the construction of knowledge-based systems are found: hierarchical classification, hypothesis matching, and knowledge-directed information passing as three generic tasks and showed how certain classes of diagnostic problems can be implemented as an integration of these generic tasks.
Proceedings Article

Authoring Intelligent Tutoring Systems: An analysis of the state of the art

Tom Murray
TL;DR: An in-depth summary and analysis of the research and development state of the art for intelligent tutoring system (ITS) authoring systems and the major unknowns and bottlenecks to having widespread use of ITS authoring tools.
Journal ArticleDOI

KADS: a modelling approach to knowledge engineering

TL;DR: Five basic principles underlying the KADS approach are discussed, namely the introduction of partial models as a means to cope with the complexity of the knowledge engineering process and the importance of structure—preserving transformation of models of expertise into design and implementation.