Task‐based information retrieval: Structuring undergraduate history essays for better course evaluation using essay‐type visualizations

John E. Leide, Charles Cole, Jamshid Beheshti, Andrew Large and Yang Lin

Journal of the American Society for Information Science and Technology, 2007, vol. 58, issue 9, 1227-1241

Abstract: When domain novices are in C.C. Kuhlthau's (1993) Stage 3, the exploration stage of researching an assignment, they often do not know their information need; this causes them to go back to Stage 2, the topic‐selection stage, when they are selecting keywords to formulate their query to an Information Retrieval (IR) system. Our hypothesis is that instead of going backward, they should be going forward toward a goal state—the performance of the task for which they are seeking the information. If they can somehow construct their goal state into a query, this forward‐looking query better operationalizes their information need than does a topic‐based query. For domain novice undergraduates seeking information for a course essay, we define their task as selecting a high‐impact essay structure which will put the students' learning on display for the course instructor who will evaluate the essay. We report a study of first‐year history undergraduate students which tested the use and effectiveness of “essay type” as a task‐focused query‐formulation device. We randomly assigned 78 history undergraduates to an intervention group and a control group. The dependent variable was essay quality, based on (a) an evaluation of the student's essay by a research team member, and (b) the marks given to the student's essay by the course instructor. We found that conscious or formal consideration of essay type is inconclusive as a basis of a task‐focused query‐formulation device for IR.

Date: 2007
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