Intelligent Educational Machines : Methodologies and Experiences / edited by Nadia Nedjah, Luiza de Macedo Mourelle, Mario Neto Borges, Nival Nunes de Almeida.

Springer eBooks

A Framework for Building a Knowledge-Based System for Curriculum Design in Engineering -- A Web-based Authoring Tool for Intelligent Tutors: Blending Assessment and Instructional Assistance -- Alife in the Classrooms: an Integrative Learning Approach -- Pedagogic Strategies Based on the Student Cognitive Model Using the Constructivist Approach -- Tracing CSCL Processes -- Formal Aspects of Pedagogical Negotiation in AMPLIA System -- A New Approach to Meta-Evaluation Using Fuzzy Logic -- Evaluation of Fuzzy Productivity of Graduate Courses.

Artificial Intelligence and Education is an ever-growing research area. It uses artificial intelligence tools and techniques to provide the foundations for intelligent tutoring and learning systems. The main concern is taking advantage of computer-based technology to examine, discuss and foster the processes of cognition, learning, teaching and related subjects. This book supports and develops innovative teaching methods and learning systems. The goal of this volume has been to offer a wide spectrum of sample works developed in leading research throughout the world about innovative methodologies of artificial intelligence in education and foundations of engineering educational intelligent systems as well as applications and interesting experiences in the field. The book should be useful both for beginners and experienced researchers interested in applying computational intelligence to the educational process.

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