While current educational technologies have the potential to fundamentally enhance literacy education, many of these tools remain unknown to or unused by today's practitioners due to a lack of access and support. Adaptive Educational Technologies for Literacy Instruction presents actionable information to educators, administrators, and researchers about available educational technologies that provide adaptive, personalized literacy instruction to students of all ages. These accessible, comprehensive chapters, written by leading researchers who have developed systems and strategies for classrooms, introduce effective technologies for reading comprehension and writing skills.

While current educational technologies have the potential to fundamentally enhance literacy education, many of these tools remain unknown to or unused by today's practitioners due to a lack of access and support. Adaptive Educational Technologies for Literacy Instruction presents actionable information to educators, administrators, and researchers about available educational technologies that provide adaptive, personalized literacy instruction to students of all ages. These accessible, comprehensive chapters, written by leading researchers who have developed systems and strategies for classrooms, introduce effective technologies for reading comprehension and writing skills.

The Handbook of Latent Semantic Analysis is the authoritative reference for the theory behind Latent Semantic Analysis (LSA), a burgeoning mathematical method used to analyze how words make meaning, with the desired outcome to program machines to understand human commands via natural language rather than strict programming protocols. The first book of its kind to deliver such a comprehensive analysis, this volume explores every area of the method and combines theoretical implications as well as practical matters of LSA. Readers are introduced to a powerful new way of understanding language phenomena, as well as innovative ways to perform tasks that depend on language or other complex systems. The Handbook clarifies misunderstandings and pre-formed objections to LSA, and provides examples of exciting new educational technologies made possible by LSA and similar techniques. It raises issues in philosophy, artificial intelligence, and linguistics, while describing how LSA has underwritten a range of educational technologies and information systems. Alternate approaches to language understanding are addressed and compared to LSA. This work is essential reading for anyone-newcomers to this area and experts alike-interested in how human language works or interested in computational analysis and uses of text. Educational technologists, cognitive scientists, philosophers, and information technologists in particular will consider this volume especially useful.

First published in 2007. Routledge is an imprint of Taylor & Francis, an informa company.

First published in 2007. Routledge is an imprint of Taylor & Francis, an informa company.

The" Handbook of Latent Semantic Analysis "is the authoritative reference for the theory behind Latent Semantic Analysis (LSA), a burgeoning mathematical method used to analyze how words make meaning, with the desired outcome to program machines to understand human commands via natural language rather than strict programming protocols. The first book of its kind to deliver such a comprehensive analysis, this volume explores every area of the method and combines theoretical implications as well as practical matters of LSA.

Readers will be introduced to a powerful new way of understanding language phenomena, as well as innovative ways to perform tasks that depend on language or other complex systems. The "Handbook "clarifies misunderstandings and pre-formed objections to LSA, and provides examples of exciting new educational technologies made possible by LSA and similar techniques. It raises issues in philosophy, artificial intelligence, and linguistics, while describing how LSA has underwritten a range of educational technologies and information systems. Alternate approaches to language understanding are addressed and compared to LSA.

This work" "is essential reading for anyone-- newcomers to this area and experts alike-- interested in how human language works or interested in computational analysis and uses of text. Educational technologists, cognitive scientists, philosophers, and information technologists in particular will consider this volume especially useful.

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.

There is commonly-held belief that some people learn better than others because they are born that way. However, research indicates that many people who learn better are simply more strategic: they use effective strategies and techniques to improve their learning. Further, these strategies and techniques can be taught to students. Thus, understanding how we learn enriches our lives and the lives of others. Written by leading experts on learning, this book situates this topic within the broader context of educational psychology research and brings it to a wider audience. With chapters on how the mind works, evidence-based recommendations about how to enhance learning from both the perspective of students and teachers, and clear explanations of key learning concepts and ideas, this short volume is designed for any education course that includes learning in the curriculum. It is indispensable for pre- and in-service teachers and student researchers alike.

There is commonly-held belief that some people learn better than others because they are born that way. However, research indicates that many people who learn better are simply more strategic: they use effective strategies and techniques to improve their learning. Further, these strategies and techniques can be taught to students. Thus, understanding how we learn enriches our lives and the lives of others. Written by leading experts on learning, this book situates this topic within the broader context of educational psychology research and brings it to a wider audience. With chapters on how the mind works, evidence-based recommendations about how to enhance learning from both the perspective of students and teachers, and clear explanations of key learning concepts and ideas, this short volume is designed for any education course that includes learning in the curriculum. It is indispensable for pre- and in-service teachers and student researchers alike.

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.