Teaching and learning in information retrieval

  • Authors:

  • Juan M. Fernández-Luna;Juan F. Huete;Andrew Macfarlane;Efthimis N. Efthimiadis

  • Affiliations:

  • Departamento de Ciencias de la Computación e Inteligencia Artificial, E.T.S.I. Informática y de Telecomunicación, Universidad de Granada, Granada, Spain 18071;Departamento de Ciencias de la Computación e Inteligencia Artificial, E.T.S.I. Informática y de Telecomunicación, Universidad de Granada, Granada, Spain 18071;Department of Information Science, School of Informatics, City University of London, London, UK;The Information School, University of Washington, Seattle, USA

  • Venue:
  • Information Retrieval
  • Year:
  • 2009

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Abstract

A literature review of pedagogical methods for teaching and learning information retrieval is presented. From the analysis of the literature a taxonomy was built and it is used to structure the paper. Information Retrieval (IR) is presented from different points of view: technical levels, educational goals, teaching and learning methods, assessment and curricula. The review is organized around two levels of abstraction which form a taxonomy that deals with the different aspects of pedagogy as applied to information retrieval. The first level looks at the technical level of delivering information retrieval concepts, and at the educational goals as articulated by the two main subject domains where IR is delivered: computer science (CS) and library and information science (LIS). The second level focuses on pedagogical issues, such as teaching and learning methods, delivery modes (classroom, online or e-learning), use of IR systems for teaching, assessment and feedback, and curricula design. The survey, and its bibliography, provides an overview of the pedagogical research carried out in the field of IR. It also provides a guide for educators on approaches that can be applied to improving the student learning experiences.