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Book Teaching and Learning in Information Retrieval

Download or read book Teaching and Learning in Information Retrieval written by Efthimis Efthimiadis and published by Springer Science & Business Media. This book was released on 2011-10-06 with total page 223 pages. Available in PDF, EPUB and Kindle. Book excerpt: Information Retrieval has become a very active research field in the 21st century. Many from academia and industry present their innovations in the field in a wide variety of conferences and journals. Companies transfer this new knowledge directly to the general public via services such as web search engines in order to improve their information seeking experience. In parallel, teaching IR is turning into an important aspect of IR generally, not only because it is necessary to impart effective search techniques to make the most of the IR tools available, but also because we must provide a good foundation for those students who will become the driving force of future IR technologies. There are very few resources for teaching and learning in IR, the major problem which this book is designed to solve. The objective is to provide ideas and practical experience of teaching and learning IR, for those whose job requires them to teach in one form or another, and where delivering IR courses is a major part of their working lives. In this context of providing a higher profile for teaching and learning as applied to IR, the co-editor of this book, Efthimis Efthimiathis, had maintained a leading role in teaching and learning within the domain of IR for a number of years. This book represents a posthumous example of his efforts in the area, as he passed away in April 2011. This book, his book, is dedicated to his memory.

Book Powerful Teaching

    Book Details:
  • Author : Pooja K. Agarwal
  • Publisher : John Wiley & Sons
  • Release : 2024-11-13
  • ISBN : 1394324901
  • Pages : 359 pages

Download or read book Powerful Teaching written by Pooja K. Agarwal and published by John Wiley & Sons. This book was released on 2024-11-13 with total page 359 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unleash powerful teaching and the science of learning in your classroom Powerful Teaching: Unleash the Science of Learning empowers educators to harness rigorous research on how students learn and unleash it in their classrooms. In this book, cognitive scientist Pooja K. Agarwal, Ph.D., and veteran K–12 teacher Patrice M. Bain, Ed.S., decipher cognitive science research and illustrate ways to successfully apply the science of learning in classrooms settings. This practical resource is filled with evidence-based strategies that are easily implemented in less than a minute—without additional prepping, grading, or funding! Research demonstrates that these powerful strategies raise student achievement by a letter grade or more; boost learning for diverse students, grade levels, and subject areas; and enhance students’ higher order learning and transfer of knowledge beyond the classroom. Drawing on a fifteen-year scientist-teacher collaboration, more than 100 years of research on learning, and rich experiences from educators in K–12 and higher education, the authors present highly accessible step-by-step guidance on how to transform teaching with four essential strategies: Retrieval practice, spacing, interleaving, and feedback-driven metacognition. With Powerful Teaching, you will: Develop a deep understanding of powerful teaching strategies based on the science of learning Gain insight from real-world examples of how evidence-based strategies are being implemented in a variety of academic settings Think critically about your current teaching practices from a research-based perspective Develop tools to share the science of learning with students and parents, ensuring success inside and outside the classroom Powerful Teaching: Unleash the Science of Learning is an indispensable resource for educators who want to take their instruction to the next level. Equipped with scientific knowledge and evidence-based tools, turn your teaching into powerful teaching and unleash student learning in your classroom.

Book Introduction to Information Retrieval

Download or read book Introduction to Information Retrieval written by Christopher D. Manning and published by Cambridge University Press. This book was released on 2008-07-07 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Class-tested and coherent, this textbook teaches classical and web information retrieval, including web search and the related areas of text classification and text clustering from basic concepts. It gives an up-to-date treatment of all aspects of the design and implementation of systems for gathering, indexing, and searching documents; methods for evaluating systems; and an introduction to the use of machine learning methods on text collections. All the important ideas are explained using examples and figures, making it perfect for introductory courses in information retrieval for advanced undergraduates and graduate students in computer science. Based on feedback from extensive classroom experience, the book has been carefully structured in order to make teaching more natural and effective. Slides and additional exercises (with solutions for lecturers) are also available through the book's supporting website to help course instructors prepare their lectures.

Book An Introduction to Neural Information Retrieval

Download or read book An Introduction to Neural Information Retrieval written by Bhaskar Mitra and published by Foundations and Trends (R) in Information Retrieval. This book was released on 2018-12-23 with total page 142 pages. Available in PDF, EPUB and Kindle. Book excerpt: Efficient Query Processing for Scalable Web Search will be a valuable reference for researchers and developers working on This tutorial provides an accessible, yet comprehensive, overview of the state-of-the-art of Neural Information Retrieval.

Book Special Issue on Teaching and Learning in Information Retrieval

Download or read book Special Issue on Teaching and Learning in Information Retrieval written by and published by . This book was released on 2009 with total page 128 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Information Retrieval and Management  Concepts  Methodologies  Tools  and Applications

Download or read book Information Retrieval and Management Concepts Methodologies Tools and Applications written by Management Association, Information Resources and published by IGI Global. This book was released on 2018-01-05 with total page 2373 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the increased use of technology in modern society, high volumes of multimedia information exists. It is important for businesses, organizations, and individuals to understand how to optimize this data and new methods are emerging for more efficient information management and retrieval. Information Retrieval and Management: Concepts, Methodologies, Tools, and Applications is an innovative reference source for the latest academic material in the field of information and communication technologies and explores how complex information systems interact with and affect one another. Highlighting a range of topics such as knowledge discovery, semantic web, and information resources management, this multi-volume book is ideally designed for researchers, developers, managers, strategic planners, and advanced-level students.

Book Handbook of Research on Emerging Trends and Applications of Machine Learning

Download or read book Handbook of Research on Emerging Trends and Applications of Machine Learning written by Solanki, Arun and published by IGI Global. This book was released on 2019-12-13 with total page 674 pages. Available in PDF, EPUB and Kindle. Book excerpt: As today’s world continues to advance, Artificial Intelligence (AI) is a field that has become a staple of technological development and led to the advancement of numerous professional industries. An application within AI that has gained attention is machine learning. Machine learning uses statistical techniques and algorithms to give computer systems the ability to understand and its popularity has circulated through many trades. Understanding this technology and its countless implementations is pivotal for scientists and researchers across the world. The Handbook of Research on Emerging Trends and Applications of Machine Learning provides a high-level understanding of various machine learning algorithms along with modern tools and techniques using Artificial Intelligence. In addition, this book explores the critical role that machine learning plays in a variety of professional fields including healthcare, business, and computer science. While highlighting topics including image processing, predictive analytics, and smart grid management, this book is ideally designed for developers, data scientists, business analysts, information architects, finance agents, healthcare professionals, researchers, retail traders, professors, and graduate students seeking current research on the benefits, implementations, and trends of machine learning.

Book Teach Like a Champion 3 0

Download or read book Teach Like a Champion 3 0 written by Doug Lemov and published by John Wiley & Sons. This book was released on 2021-08-10 with total page 566 pages. Available in PDF, EPUB and Kindle. Book excerpt: Teach Like a Champion 3.0 is the long-awaited update to Doug Lemov’s highly regarded guide to the craft of teaching. This book teaches you how to create a positive and productive classroom that encourages student engagement, trust, respect, accountability, and excellence. In this edition, you’ll find new and updated teaching techniques, the latest evidence from cognitive science and culturally responsive teaching practices, and an expanded companion video collection. Learn how to build students’ background knowledge, move learning into long-term memory, and connect your teaching with the curriculum content for tangible improvement in learning outcomes. The new version of the book includes: An introductory chapter on mental models for teachers to use to guide their decision-making in the classroom. A brand new chapter on Lesson Preparation. 10 new techniques Updated and revised versions of all the technique readers know and use A brand new set of exemplar videos, including more than a dozen longer “keystone” videos which show how teachers combine and balance technique over a stretch of 8 to 10 minutes of teaching. Extensive discussion of research in social and cognitive science to support and guide the use of techniques. Additional online resources, and supports Read this powerful update to discover the techniques that leading teachers are using to put students on the path to success.

Book How Learning Works

    Book Details:
  • Author : Susan A. Ambrose
  • Publisher : John Wiley & Sons
  • Release : 2010-04-16
  • ISBN : 0470617608
  • Pages : 336 pages

Download or read book How Learning Works written by Susan A. Ambrose and published by John Wiley & Sons. This book was released on 2010-04-16 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: Praise for How Learning Works "How Learning Works is the perfect title for this excellent book. Drawing upon new research in psychology, education, and cognitive science, the authors have demystified a complex topic into clear explanations of seven powerful learning principles. Full of great ideas and practical suggestions, all based on solid research evidence, this book is essential reading for instructors at all levels who wish to improve their students' learning." —Barbara Gross Davis, assistant vice chancellor for educational development, University of California, Berkeley, and author, Tools for Teaching "This book is a must-read for every instructor, new or experienced. Although I have been teaching for almost thirty years, as I read this book I found myself resonating with many of its ideas, and I discovered new ways of thinking about teaching." —Eugenia T. Paulus, professor of chemistry, North Hennepin Community College, and 2008 U.S. Community Colleges Professor of the Year from The Carnegie Foundation for the Advancement of Teaching and the Council for Advancement and Support of Education "Thank you Carnegie Mellon for making accessible what has previously been inaccessible to those of us who are not learning scientists. Your focus on the essence of learning combined with concrete examples of the daily challenges of teaching and clear tactical strategies for faculty to consider is a welcome work. I will recommend this book to all my colleagues." —Catherine M. Casserly, senior partner, The Carnegie Foundation for the Advancement of Teaching "As you read about each of the seven basic learning principles in this book, you will find advice that is grounded in learning theory, based on research evidence, relevant to college teaching, and easy to understand. The authors have extensive knowledge and experience in applying the science of learning to college teaching, and they graciously share it with you in this organized and readable book." —From the Foreword by Richard E. Mayer, professor of psychology, University of California, Santa Barbara; coauthor, e-Learning and the Science of Instruction; and author, Multimedia Learning

Book Bio Inspired Computing for Information Retrieval Applications

Download or read book Bio Inspired Computing for Information Retrieval Applications written by Acharjya, D.P. and published by IGI Global. This book was released on 2017-02-14 with total page 411 pages. Available in PDF, EPUB and Kindle. Book excerpt: The growing presence of biologically-inspired processing has caused significant changes in data retrieval. With the ubiquity of these technologies, more effective and streamlined data processing techniques are available. Bio-Inspired Computing for Information Retrieval Applications is a key resource on the latest advances and research regarding current techniques that have evolved from biologically-inspired processes and its application to a variety of problems. Highlighting multidisciplinary studies on data processing, swarm-based clustering, and evolutionary computation, this publication is an ideal reference source for researchers, academics, professionals, students, and practitioners.

Book Advances in Information Retrieval

Download or read book Advances in Information Retrieval written by Fabrizio Sebastiani and published by Springer Science & Business Media. This book was released on 2003-04-08 with total page 640 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 25th European Conference on Information Retrieval Research, ECIR 2003, held in Pisa, Italy, in April 2003. The 31 revised full papers and 16 short papers presented together with two invited papers were carefully reviewed and selected from 101 submissions. The papers are organized in topical sections on IR and the Web; retrieval of structured documents; collaborative filtering and text mining; text representation and natural language processing; formal models and language models for IR; machine learning and IR; text categorization; usability, interactivity, and visualization; and architectural issues and efficiency.

Book Information Retrieval Systems and Education

Download or read book Information Retrieval Systems and Education written by Don Bushnell and published by . This book was released on 1962 with total page 14 pages. Available in PDF, EPUB and Kindle. Book excerpt: An information retrieval (IR) system that would adequately serve the information needs of the educator and student is discussed. Such a system would include functions already automated in present IR hardware systems and, in addition, the automation of acquisition, lassification, and dissemination functions. Extrapolation from the research in the last three areas leads to a description of an advanced school system of the 1970's in which universities or secondary schools will be linked by data transmission lines to regional information centers. These centers will acquire, translate, and select items of information for automatic indexing, abstracting, and coding into magnetic tape files and for subsequent feeding to remote school systems. All elements in the educational system will be serviced by the integrated information retrieval systems which will organize and disseminate the information according to individual needs. (Author).

Book Retrieval Practice

    Book Details:
  • Author : Kate Jones
  • Publisher :
  • Release : 2021-01-20
  • ISBN : 9780645008401
  • Pages : pages

Download or read book Retrieval Practice written by Kate Jones and published by . This book was released on 2021-01-20 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: retrieval practice is a low effort, high impact strategy - very worthwhile for teachers to know about. This book explains it in simple terms

Book Teaching Information Retrieval and Evaluation Skills to Education Students and Practitioners

Download or read book Teaching Information Retrieval and Evaluation Skills to Education Students and Practitioners written by Patricia O'Brien Libutti and published by Association of College & Research Libraries. This book was released on 1995-01-01 with total page 139 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Text Data Management and Analysis

Download or read book Text Data Management and Analysis written by ChengXiang Zhai and published by Morgan & Claypool. This book was released on 2016-06-30 with total page 634 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent years have seen a dramatic growth of natural language text data, including web pages, news articles, scientific literature, emails, enterprise documents, and social media such as blog articles, forum posts, product reviews, and tweets. This has led to an increasing demand for powerful software tools to help people analyze and manage vast amounts of text data effectively and efficiently. Unlike data generated by a computer system or sensors, text data are usually generated directly by humans, and are accompanied by semantically rich content. As such, text data are especially valuable for discovering knowledge about human opinions and preferences, in addition to many other kinds of knowledge that we encode in text. In contrast to structured data, which conform to well-defined schemas (thus are relatively easy for computers to handle), text has less explicit structure, requiring computer processing toward understanding of the content encoded in text. The current technology of natural language processing has not yet reached a point to enable a computer to precisely understand natural language text, but a wide range of statistical and heuristic approaches to analysis and management of text data have been developed over the past few decades. They are usually very robust and can be applied to analyze and manage text data in any natural language, and about any topic. This book provides a systematic introduction to all these approaches, with an emphasis on covering the most useful knowledge and skills required to build a variety of practically useful text information systems. The focus is on text mining applications that can help users analyze patterns in text data to extract and reveal useful knowledge. Information retrieval systems, including search engines and recommender systems, are also covered as supporting technology for text mining applications. The book covers the major concepts, techniques, and ideas in text data mining and information retrieval from a practical viewpoint, and includes many hands-on exercises designed with a companion software toolkit (i.e., MeTA) to help readers learn how to apply techniques of text mining and information retrieval to real-world text data and how to experiment with and improve some of the algorithms for interesting application tasks. The book can be used as a textbook for a computer science undergraduate course or a reference book for practitioners working on relevant problems in analyzing and managing text data.

Book Next Generation Digital Tools and Applications for Teaching and Learning Enhancement

Download or read book Next Generation Digital Tools and Applications for Teaching and Learning Enhancement written by Grassetti, Mary T. and published by IGI Global. This book was released on 2019-10-18 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: Digital tools and applications are an intricate part of many classroom communities. In the field of education, there is a need to continually monitor the digital landscape and keep up to date on the tools and applications that are available to classroom teachers and K-12 students. Understanding the ever-changing digital landscape and its impact on teaching and learning is critical to using digital tools and applications effectively and in ways that enhance students’ opportunities to learn. Next Generation Digital Tools and Applications for Teaching and Learning Enhancement is a critical scholarly publication that explores digital tools and applications for the PreK-12 classroom and how digital technology can enhance the preparation of teachers. Featuring a wide range of topics including education equity, social media, and teacher education, this book is essential for educators, academicians, curriculum designers, educational software developers, IT specialists, library specialists, researchers, and practitioners.