Intelligent Tutoring Systems: Structure, Applications and Challenges contains eight chapters from leading experts from across the globe, chronicling recent developments in the design, development, and implementation of intelligent tutoring systems (ITSs). The chapters bring together viewpoints from diverse contexts including medicine, the military and education. Various types of ITSs are covered, including simulators, virtual environments and game-based systems designed to teach new skills, improve existing ones, and provide assessment, feedback and remediation. Our contributors provide expertise on topics that include artificial intelligence, case-based reasoning, algorithms, data-mining, predictive student action models, feature extraction, automated assessment engines, system design, natural language processing and classroom implementation. This book discusses challenges and new trends in system design and development, including new methodologies for automation of assessment in ITSs by presenting chapters that focus on system design by presenting frameworks to aid in the development of ITSs, as well as techniques and algorithms useful in implementing systems using data mining, machine learning. Additional chapters give consideration to the inclusion of effective information as an input and part of the student module. Additionally, discussions of system usability including user experience design and testing, in addition to successful system implementation, are covered. This book will be of interest to a diverse audience, including software developers, educational technologists, computer scientists, and researchers working in artificial learning, as well as interactive and adaptive learning environments.
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