Teaching and Learning in Information Retrieval [electronic resource] /
Efthimiadis, Efthimis.editor.
Fernández-Luna, Juan M.editor.
Huete, Juan F.editor.
MacFarlane, Andrew.editor.
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.
Description based upon print version of record.
Includes bibliographical references and index.
Introduction -- Fostering Student Engagement in an Online IR Course -- Teaching IR: Curricular Consideration -- Pedagogical Enhancements for Information Retrieval Courses -- Pedagogical Design and Evaluation of Interactive Information Retrieval Learning Environment -- Shifting Contexts: Relating the User, Search and System in Teaching IR -- A Technical Approach to Information Retrieval Pedagogy -- Using Multiple Choice Questions to Assist Learning for Information Retrieval -- Information Retrieval Systems Evaluation: Learning and Teaching Process -- Teaching Web Information Retrieval to Computer Science Students: A Concrete Approach and its Analysis -- Is a relevant piece of information a valid one? Teaching critical evaluation of online information -- Training students to evaluate search engines -- Teaching information retrieval (IR) through problem based learning (PBL) -- Educational Resource Development for Information Retrieval in a Digital Libraries Context.
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.
Information storage and retrieval.
Education-Data processing.
Curriculums (Courses of study).
Education-Curricula.
Information Storage and Retrieval.
Computers and Education.
Curriculum Studies.