A module-based integration of information retrieval into undergraduate curricula

  • Authors:
  • Lei Zhu;Chun Tang

  • Affiliations:
  • Armstrong Atlantic State University, Savannah, Georgia;Yale University, New Haven, CT

  • Venue:
  • Journal of Computing Sciences in Colleges
  • Year:
  • 2006

Quantified Score

Hi-index 0.00

Visualization

Abstract

As more and more digital information available online, the ability to conduct proficient information retrieval (IR) is becoming a key factor for success in almost any career. However, integration of IR into undergraduate curricula has not kept up with this demand. To address primary problems in the current college-level IR education, this paper proposes a module-based curricular model, which facilitates the development of an array of IR modules that enable flexible adoption and integration. These modules, including general IR modules mainly designed for IT/CS programs, and discipline-oriented IR modules based on specific disciplines such as Biology and Psychology, can be adopted based on the specific needs of different universities and programs.