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The Information Retrieval Series

Teaching and Learning in Information Retrieval

Editors: Efthimiadis, E., Fernández-Luna, J.M., Huete, J.F., MacFarlane, A. (Eds.)

  • First book explicitly dedicated to teaching information retrieval
  • Encompasses all related topics from general curriculum and course design to specific data and search engine evaluation
  • Includes not only aspects from computer science, but also from pedagogy, psychology, and technology-enhanced learning
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Buy this book

eBook $84.99
price for USA
  • ISBN 978-3-642-22511-6
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Download immediately after purchase
Hardcover $109.00
price for USA
  • ISBN 978-3-642-22510-9
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $109.00
price for USA
  • ISBN 978-3-662-50677-6
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

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.

About the authors

Efthimis N. Efthimiadis

Efthimis Efthimiadis obtained a Ph.D in Information Science from City University London in 1992. His research focused on the design of front-end interfaces that improve access to databases, and on the evaluation of information retrieval systems. Further interests included the application of probabilistic techniques to information retrieval and in methods that incorporate user preferences and user interaction in the retrieval techniques. Efthimiadis' research in the area of query expansion was concerned with the evaluation of ranking algorithms and the study of the searching behaviour of endusers. Professor Efthimiadis taught courses on the principles of information retrieval, database design, online search techniques, internet access, introduction to information science, business information and medical informatics.

Juan M. Fernández-Luna

Juan Manuel Fernández-Luna got his Computer Science degree in 1994 at the University of Granada, Spain. In 2001 he got his PhD at the same institution, working on a thesis in which several retrieval models based on Bayesian networks for Information Retrieval where designed. Currently, his main research area is XML retrieval, although he also is working in collaboration with Juan F. Huete in collaborative IR, recommender systems, learning to rank and heterogeneous data source integration. He has got experience organizing international conferences and workshops, among them the I and II International Workshops on Teaching and Learning of Information Retrieval. He has been co-editor of several journal special issues, highlighting the special Information Retrieval issue on Teaching and Learning of Information Retrieval. He also belongs to the programme committees of the main IR conferences.

Juan F. Huete

Juan F. Huete is assistant professor at the Department of Computer Science and Artificial Intelligence at the University of Granada. He got his PhD in 1995, researching on the uncertainty treatment in Artificial Intelligence under the formalism of Bayesian networks. From 1998, his research interest is Information Retrieval, designing retrieval models based on these graphical models. He is currently also working in the Recommender System field, although other fields like collaborative IR or learning to rank. He has been co-editor of a special Information and Processing Management issue on Bayesian networks and Information Retrieval. He has co-organized several international conferences, as well as workshops. Among these last types of events, the following three could be highlighted: I and II International Workshop on Teaching and Learning of Information Retrieval and the SIGIR'07 Workshop on Information Retrieval and Graphical Models.

Andrew MacFarlane

Andrew MacFarlane is a Senior Lecturer in the Department of Information Science at City University, and currently co-directs the Centre of Interactive Systems Research with Prof Stephen Robertson of Microsoft Research Cambridge. He got his PhD Information Science from the same Department under the supervision of Prof Robertson and Dr. J.A. McCann (now at Imperial College London) in 2000. His research interests currently focus on a number of areas including parallel computing for information retrieval, disabilities and Information Retrieval (dyslexia in particular), AI techniques for Information Retrieval and Filtering, and Open Source Software Development. He is the Chair of the BCS Information Retrieval Specialist Group and is a long standing member of that SG.

Reviews

"This excellent book is a must-read for anyone struggling to teach IR--whether in a library school, an information school, a computer science department, or an informatics department." - Donald H. Kraft, ACM Computing Reviews, July 2012


Table of contents (14 chapters)

  • Introduction to Teaching and Learning in Information Retrieval

    Efthimiadis, Efthimis N. (et al.)

    Pages 1-7

  • Fostering Student Engagement in an Online IR Course

    Bell, Suzanne

    Pages 9-29

  • Teaching IR: Curricular Considerations

    Blank, Daniel (et al.)

    Pages 31-46

  • Pedagogical Enhancements for Information Retrieval Courses

    Fox, Edward (et al.)

    Pages 47-60

  • Pedagogical Design and Evaluation of Interactive Information Retrieval Learning Environment

    Halttunen, Kai

    Pages 61-73

Buy this book

eBook $84.99
price for USA
  • ISBN 978-3-642-22511-6
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Download immediately after purchase
Hardcover $109.00
price for USA
  • ISBN 978-3-642-22510-9
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $109.00
price for USA
  • ISBN 978-3-662-50677-6
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Teaching and Learning in Information Retrieval
Editors
  • Efthimis Efthimiadis
  • Juan M. Fernández-Luna
  • Juan F. Huete
  • Andrew MacFarlane
Series Title
The Information Retrieval Series
Series Volume
31
Copyright
2011
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-642-22511-6
DOI
10.1007/978-3-642-22511-6
Hardcover ISBN
978-3-642-22510-9
Softcover ISBN
978-3-662-50677-6
Series ISSN
1387-5264
Edition Number
1
Number of Pages
XV, 213
Number of Illustrations and Tables
32 b/w illustrations
Topics