Lavoisier S.A.S.
14 rue de Provigny
94236 Cachan cedex
FRANCE

Heures d'ouverture 08h30-12h30/13h30-17h30
Tél.: +33 (0)1 47 40 67 00
Fax: +33 (0)1 47 40 67 02


Url canonique : www.lavoisier.fr/livre/informatique/teaching-and-learning-in-information-retrieval-the-information-retrieval-series-vol-31/efthimiadis/descriptif_2582646
Url courte ou permalien : www.lavoisier.fr/livre/notice.asp?ouvrage=2582646

Teaching and Learning in Information Retrieval, Softcover reprint of the original 1st ed. 2011 The Information Retrieval Series, Vol. 31

Langue : Anglais

Coordonnateurs : Efthimiadis Efthimis, Fernández-Luna Juan M., Huete Juan F., MacFarlane Andrew

Couverture de l’ouvrage Teaching and Learning in Information Retrieval

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.

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.

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,

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

Includes supplementary material: sn.pub/extras

Date de parution :

Ouvrage de 213 p.

15.5x23.5 cm

Disponible chez l'éditeur (délai d'approvisionnement : 15 jours).

Prix indicatif 52,74 €

Ajouter au panier

Date de parution :

Ouvrage de 213 p.

Disponible chez l'éditeur (délai d'approvisionnement : 15 jours).

Prix indicatif 52,74 €

Ajouter au panier