What is text understanding?
It is the dynamic process of constructing coherent representations and inferences at multiple levels of text and context, within the bottleneck of a limited-capacity working memory.
The field of text and discourse has advanced to the point where researchers have developed sophisticated models of comprehension, and identified the particular assumptions that underlie comprehension mechanisms in precise analytical or mathematical detail. The models offer "a priori" predictions about thought and behavior, not merely "ad hoc" descriptions of data. Indeed, the field has evolved to a mature science.
The contributors to this volume collectively cover the major models of comprehension in the field of text and discourse. Other books are either narrow -- covering only a single theoretical framework -- or do not focus on systematic modeling efforts. In addition, this book focuses on deep levels of understanding rather than language codes, syntax, and other shallower levels of text analysis. As such, it provides readers with up-to-date information on current psychological models specified in quantitative or analytical detail.

The design and functioning of an information system improve to the extent that the system can handle the questions people ask. Surprisingly, however, researchers in the cognitive, computer, and information sciences have not thoroughly examined the multitude of relationships between information systems and questions -- both question asking and answering. The purpose of this book is to explicitly examine these relationships. Chapter contributors believe that questions play a central role in the analysis, design, and use of different kinds of natural or artificial information systems such as human cognition, social interaction, communication networks, and intelligent tutoring systems. Their efforts show that data structures and representations need to be organized around the questioning mechanisms in order to achieve a quick retrieval of relevant useful information.

This volume's goal is to provide readers with up-to-date information on the research and theory of scientific text comprehension. It is widely acknowledged that the comprehension of science and technological artifacts is very difficult for both children and adults. The material is conceptually complex, there is very little background knowledge for most individuals, and the materials are often poorly written. Therefore, it is no surprise that students are turned off from learning science and technology. Given these challenges, it is important to design scientific text in a fashion that fits the cognitive constraints of the learner. The enterprise of textbook design needs to be effectively integrated with research in discourse processing, educational technology, and cognitive science. This book takes a major step in promoting such an integration. This volume: *provides an important integration of research and theory with theoretical, methodological, and educational applications; *includes a number of chapters that cover how science text information affects mental representations and strategies; *introduces important suggestions about how text design and new technologies can be thought of as pedagogical features; and *establishes academic text taxonomies and a consensus of the criteria to organize inferences and other mental mechanisms.

Providing comprehensive coverage of the theoretical bases of metacognition and its applications to educational practice, this compendium of focused and in-depth discussions from leading scholars in the field:

• represents an intersection of education, cognitive science, and technology;
• serves as a gateway to the literature for researchers and practitioners interested in one or more of the wide array of topics included; and
• sets the standard for scholarship for theoretical research and practical applications in this field.

The Handbook of Metacognition in Education covering Comprehension Strategies, Metacognitive Strategies, Metacomprehension, Writing, Science and Mathematics, Individual Differences, Self-Regulated Learning, Technology, Tutoring, and Measurement is an essential resource for researchers, faculty, students, curriculum developers, teachers, and others interested in using research and theory on metacognition to guide and inform educational practice.

Providing comprehensive coverage of the theoretical bases of metacognition and its applications to educational practice, this compendium of focused and in-depth discussions from leading scholars in the field:

• represents an intersection of education, cognitive science, and technology;
• serves as a gateway to the literature for researchers and practitioners interested in one or more of the wide array of topics included; and
• sets the standard for scholarship for theoretical research and practical applications in this field.

The Handbook of Metacognition in Education covering Comprehension Strategies, Metacognitive Strategies, Metacomprehension, Writing, Science and Mathematics, Individual Differences, Self-Regulated Learning, Technology, Tutoring, and Measurement is an essential resource for researchers, faculty, students, curriculum developers, teachers, and others interested in using research and theory on metacognition to guide and inform educational practice.

This volume's goal is to provide readers with up-to-date information on the research and theory of scientific text comprehension. It is widely acknowledged that the comprehension of science and technological artifacts is very difficult for both children and adults. The material is conceptually complex, there is very little background knowledge for most individuals, and the materials are often poorly written. Therefore, it is no surprise that students are turned off from learning science and technology. Given these challenges, it is important to design scientific text in a fashion that fits the cognitive constraints of the learner. The enterprise of textbook design needs to be effectively integrated with research in discourse processing, educational technology, and cognitive science. This book takes a major step in promoting such an integration.
This volume:
*provides an important integration of research and theory with theoretical, methodological, and educational applications;
*includes a number of chapters that cover how science text information affects mental representations and strategies;
*introduces important suggestions about how text design and new technologies can be thought of as pedagogical features; and
*establishes academic text taxonomies and a consensus of the criteria to organize inferences and other mental mechanisms.

This volume presents the most current perspectives on the role of metacognition in diverse educationally relevant domains. The purpose is to examine the ways in which theoretical investigations of metacognition have recently produced a strong focus on educational practice.
The book is organized around four general themes relevant to education: metacognition and problem solving, metacognition and verbal comprehension, metacognition and the education of nontraditional populations, and metacognition and studentship. Chapter authors review current literature as it applies to their chapter topic; discuss theoretical implications and suggestions for future research; and provide educational applications. Each chapter describes testable theory and provides examples of how theory can be applied to the classroom. The volume will have wide appeal to researchers and students concerned with the scientific investigation of metacognition, and to practitioners concerned with the cultivation of learning and achievement in their students.
The unique contribution of this book to the literature on metacognition is its presentation of the most current research examining specific theoretical aspects of metacognition in domains directly relevant to education. This is especially valuable for the many researchers and practitioners who subscribe to the concept that by fostering metacognitive processes during instruction, more durable and transferable learning can be achieved.

This volume presents the most current perspectives on the role of metacognition in diverse educationally relevant domains. The purpose is to examine the ways in which theoretical investigations of metacognition have recently produced a strong focus on educational practice.
The book is organized around four general themes relevant to education: metacognition and problem solving, metacognition and verbal comprehension, metacognition and the education of nontraditional populations, and metacognition and studentship. Chapter authors review current literature as it applies to their chapter topic; discuss theoretical implications and suggestions for future research; and provide educational applications. Each chapter describes testable theory and provides examples of how theory can be applied to the classroom. The volume will have wide appeal to researchers and students concerned with the scientific investigation of metacognition, and to practitioners concerned with the cultivation of learning and achievement in their students.
The unique contribution of this book to the literature on metacognition is its presentation of the most current research examining specific theoretical aspects of metacognition in domains directly relevant to education. This is especially valuable for the many researchers and practitioners who subscribe to the concept that by fostering metacognitive processes during instruction, more durable and transferable learning can be achieved.

Originally published in 1985, the chapters in this volume collectively approach the phenomenon of questioning from many perspectives. There are studies on question comprehension, question answering, question asking and the influence of adjunct questions on text comprehension and memory. The chapters cover different theories, models, methods, and practical applications. Some contributors focus exclusively on adult subjects, whereas other examine cognitive development in children. The earlier chapters in the book have a "pure science" emphasis, whereas the later chapters have an "applied" emphasis. Of course, the distinction between science and application had, in the editors' words, become "very fuzzy" in the years prior to publication.

The design and functioning of an information system improve to the extent that the system can handle the questions people ask. Surprisingly, however, researchers in the cognitive, computer, and information sciences have not thoroughly examined the multitude of relationships between information systems and questions -- both question asking and answering. The purpose of this book is to explicitly examine these relationships. Chapter contributors believe that questions play a central role in the analysis, design, and use of different kinds of natural or artificial information systems such as human cognition, social interaction, communication networks, and intelligent tutoring systems. Their efforts show that data structures and representations need to be organized around the questioning mechanisms in order to achieve a quick retrieval of relevant useful information.

Coh-Metrix is among the broadest and most sophisticated automated textual assessment tools available today. Automated Evaluation of Text and Discourse with Coh-Metrix describes this computational tool, as well as the wide range of language and discourse measures it provides. Part I of the book focuses on the theoretical perspectives that led to the development of Coh-Metrix, its measures, and empirical work that has been conducted using this approach. Part II shifts to the practical arena, describing how to use Coh-Metrix and how to analyze, interpret, and describe results. Coh-Metrix opens the door to a new paradigm of research that coordinates studies of language, corpus analysis, computational linguistics, education, and cognitive science. This tool empowers anyone with an interest in text to pursue a wide array of previously unanswerable research questions.

Coh-Metrix is among the broadest and most sophisticated automated textual assessment tools available today. Automated Evaluation of Text and Discourse with Coh-Metrix describes this computational tool, as well as the wide range of language and discourse measures it provides. Part I of the book focuses on the theoretical perspectives that led to the development of Coh-Metrix, its measures, and empirical work that has been conducted using this approach. Part II shifts to the practical arena, describing how to use Coh-Metrix and how to analyze, interpret, and describe results. Coh-Metrix opens the door to a new paradigm of research that coordinates studies of language, corpus analysis, computational linguistics, education, and cognitive science. This tool empowers anyone with an interest in text to pursue a wide array of previously unanswerable research questions.