An integrated evaluation method for module-based undergraduate information retrieval education

Authors:
Lei Zhu;Jane Wong;Bradley Sturz;Yong Shi;Chun Tang
Affiliations:
Armstrong Atlantic State University, Savannah, GA;Armstrong Atlantic State University, Savannah, GA;Armstrong Atlantic State University, Savannah, GA;Kennesaw State University, Kennesaw, GA;Oracle Retail Global Business Unit, Atlanta, GA
Venue:
Journal of Computing Sciences in Colleges
Year:
2008

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Abstract

In the Information Age, career and life-long learning increasingly depend on information-retrieval (IR) skills to utilize digital and on-line information effectively. Consequently, IR has become a valuable integral element of many disciplines. To address primary problems in the current college-level IR education, we have proposed a module-based curricular model that facilitates the development of an array of IR course modules that enable flexible adoption and integration. In addition, these modules can be designed to meet the specific needs of various disciplines and programs. This paper presents a preliminary integrated evaluation method which combines subjective and objective evaluation in order to assess the effectiveness of the IR modules.