Value streams in science & technology: A case study of value creation and intelligent tutoring systems

William B. Rouse; Kenneth R. Boff

doi:10.1002/sys.10038

Value streams in science & technology: A case study of value creation and intelligent tutoring systems

Systems Engineering ◽

10.1002/sys.10038 ◽

2003 ◽

Vol 6 (2) ◽

pp. 76-91 ◽

Cited By ~ 5

Author(s):

William B. Rouse ◽

Kenneth R. Boff

Keyword(s):

Value Creation ◽

Intelligent Tutoring Systems ◽

Intelligent Tutoring ◽

Tutoring Systems ◽

Science Technology ◽

Value Streams

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Recent Advances in Intelligent Tutoring Systems

Handbook of Research on Teaching and Learning in K-20 Education - Advances in Educational Marketing, Administration, and Leadership ◽

10.4018/978-1-4666-4249-2.ch037 ◽

2013 ◽

pp. 631-647

Author(s):

Joel J. P. C. Rodrigues ◽

Pedro F. N. João ◽

Isabel de la Torre Díez

Keyword(s):

Learning Process ◽

Intelligent Tutoring Systems ◽

Intelligent Tutoring ◽

Field Tests ◽

Study Guide ◽

Web Based ◽

Tutoring Systems ◽

Recent Advances ◽

The Web

Intelligent Tutoring Systems (ITS) include interactive applications with some intelligence that supports the learning process. Some of ITS have had a very large impact on educational outcomes in field tests, and they have provided an important ground for artificial intelligence research. This chapter elaborates on recent advances in ITS and includes a case study presenting an ITS called EduTutor. This system was created for the Web-Based Aulanet Learning Management System (LMS). It focuses on subjects for the first cycle of studies of the Portuguese primary education system, between the first and the fourth year. It facilitates the perception of the learning process of each student, individually, in a virtual environment, as a study guide. Moreover, EduTutor has been designed and its architecture prepared for being easily integrated into higher levels of studies, different subjects, and several languages. Currently, it is used in the Aulanet LMS platform.

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Constructing Intelligent Tutoring Systems Based on a Multiagent Architecture

Agent-Based Tutoring Systems by Cognitive and Affective Modeling ◽

10.4018/978-1-59904-768-3.ch011 ◽

2008 ◽

pp. 228-259 ◽

Cited By ~ 4

Author(s):

Ig Bittencourt ◽

Evandro de Barros Costa ◽

Baldoíno Fonseca dos Santos Neto ◽

João Guilherme Maia de Menezes ◽

Jairo Simão Santana Melo ◽

...

Keyword(s):

Artificial Intelligence ◽

Intelligent Tutoring Systems ◽

Reference Model ◽

Intelligent Tutoring ◽

Tutoring Systems ◽

Education Community ◽

Artificial Intelligence In Education ◽

Relevant Topic ◽

Pedagogical Models

Tools to make the development of intelligent tutoring systems (ITS) easier and more efficient are a relevant topic within the artificial intelligence in education community. This chapter presents a set of tools for constructing multiagent-based ITS, and describes a methodology for guiding the development of ITS. The main goal is to make multiagent-based ITS development more efficient and useful for both developers and authors. This has been done to support development of tutors based on Mathema’s environment as a reference model. Basically, in order to create a particular ITS, authors have to consider three main steps concerned with domain, student, and pedagogical models. A case study is presented to demonstrate the effectiveness of the proposed approach. Results of this case study show that this proposal makes the process of building the considered ITS easier and more efficient.

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