Intelligent and Adaptive Educational-Learning Systems

• Part I. Modeling.- Affective Modeling for an Intelligent Educational Environment.- ALEM: A Reference Model for Educational Adaptive Web Applications.- Proactive Sequencing based on a Causal and Fuzzy Student Model.- Exploiting Learner Models Using Data Mining for E-Learning: A Rule Based Approach.- Part II. Content.- A Study of a Learning Style Index to support Intelligent and Adaptive Learning Systems.- GRAPPLE : Learning Management Systems Meet Adaptive Learning Environments.- Performance Evaluation of Decision-based Content Selection Approaches in Adaptive Educational Hypermedia Systems.- PCMAT - Mathematics Collaborative Educational System.- A Framework for Automatic Construction of Reusable Adaptive Courses: The Case of ProPer SAT 2.0.- Interoperable Intelligent Tutoring Systems as SCORM Learning Objects.- Part III. Virtuality.- Real Classrooms in Virtual Worlds: Scaffolding Interdisciplinary Collaborative Writing.- A Smart Home Lab as a Pedagogical Tool.- Supporting Hybrid Courses with Closed-Loop Adaptive Training Technology.- CELTS: A Cognitive Tutoring Agent with Human-Like Learning Capabilities and Emotions.- Part IV. Applications.- Incorporation of Agent Prompts as Scaffolding of Reflection in an Intelligent Learning Environment.- Acquisition of Higher Order Knowledge by a Dynamic Modeling Environment based on the Educational Concept of Self-Regulated Learning.- Seamless Web-Mediated Training Courseware Design Model: Innovating Adaptive Educational-Learning Systems.- Intuitionistic Fuzzy Logic-Based Approach of Intrinsic Motivation in CSCL Settings During Illusionary Sense of Control.- An Intelligent System for Modeling and Supporting Academic Educational Processes.- Intelligent Decision-Making Support within the E-Learning Process.

From the reviews: "This book is a collection of 20 papers on intelligent and adaptive educational learning systems (ELSs) research, defined here as educational services for learning and teaching using artificial intelligence (AI) techniques. ... The book can be seen as a snapshot of recent work in this area; this is its main merit." (Rosa Michaelson, ACM Computing Reviews, December, 2012)