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Information Literacy Rubric Assessment×Discovery Interface Usability Testing×
분야Library Information ScienceLibrary Information Science
계열Process / pipelineProcess / pipeline
기원 연도20152012
창시자Megan Oakleaf & Project RAILS; Association of American Colleges and Universities (AAC&U VALUE)Jakob Nielsen (usability engineering); applied to library discovery by Jody Condit Fagan et al.
유형Analytic-rubric scoring pipeline for assessing information literacy from authentic student workTask-based usability evaluation pipeline for library discovery interfaces
원전Belanger, J., Zou, N., Mills, J. R., Holmes, C., & Oakleaf, M. (2015). Project RAILS: Lessons Learned about Rubric Assessment of Information Literacy Skills. portal: Libraries and the Academy, 15(4), 623-644. link ↗Fagan, J. C., Mandernach, M. A., Nelson, C. S., Paulo, J. R., & Saunders, G. (2012). Usability Test Results for a Discovery Tool in an Academic Library. Information Technology and Libraries, 31(1), 83-112. DOI ↗
별칭RAILS Rubric Assessment, VALUE Rubric Assessment, Information Literacy Rubric Scoring, Analytic Rubric Assessment of Information LiteracyDiscovery Layer Usability Testing, Library Catalog Usability Testing, Discovery Tool Usability Study, OPAC Usability Testing
관련22
요약Information literacy rubric assessment measures how well students find, evaluate, and use information by scoring their authentic work, papers, annotated bibliographies, research projects, against an analytic rubric that names the dimensions of information literacy and describes performance levels for each. Rather than relying on multiple-choice tests of isolated knowledge or on student self-report, it judges what students actually produce. Project RAILS (Rubric Assessment of Information Literacy Skills), led by Megan Oakleaf, investigated how academic librarians can build and apply such rubrics collaboratively, while the Association of American Colleges and Universities' VALUE rubric supplies a widely used analytic framework with dimensions such as determining the extent of information needed, accessing it, evaluating sources critically, and using information ethically. Calibrated raters score the work, and the aggregated scores reveal achievement and instructional gaps.Discovery interface usability testing evaluates how well a library's discovery layer, the single search box that searches across catalog, articles, and databases, actually serves users, by watching representative people attempt realistic search tasks and measuring whether they succeed, how long they take, and where they stumble. Grounded in Jakob Nielsen's usability engineering, the method treats the interface as something to be tested empirically rather than judged by expert opinion alone. Fagan and colleagues' 2012 study of a discovery tool at an academic library exemplifies the approach: students performed authentic tasks while observers recorded success, errors, and think-aloud commentary, surfacing concrete problems with facets, result relevance, and terminology. The output is a prioritized list of usability problems and metrics that guide iterative redesign of the discovery experience.
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