Porównaj metody

	Information Literacy Rubric Assessment	Discovery Interface Usability Testing
Dziedzina	Library Information Science	Library Information Science
Rodzina	Process / pipeline	Process / pipeline
Rok powstania	2015	2012
Twórca	Megan 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.
Typ	Analytic-rubric scoring pipeline for assessing information literacy from authentic student work	Task-based usability evaluation pipeline for library discovery interfaces
Źródło pierwotne	Belanger, 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.	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.
Inne nazwy	RAILS Rubric Assessment, VALUE Rubric Assessment, Information Literacy Rubric Scoring, Analytic Rubric Assessment of Information Literacy	Discovery Layer Usability Testing, Library Catalog Usability Testing, Discovery Tool Usability Study, OPAC Usability Testing
Pokrewne	2	2
Podsumowanie	Information 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.