02114nas a2200181   4500008004100000245008500041210006900126260000900195300001200204490000700216520152400223653001501747653000801762100002201770700002001792700002001812856010001832       2010                        eng d00aAspects of 'Relevance' in the Alignment of Curriculum with Educational Standards0 aAspects of Relevance in the Alignment of Curriculum with Educati  c2010  a362-3760 v463 aRetrieval of useful digitized learning objects is a key objective for educational digital libraries, but imprecise definitions of alignment hinder the development of effective retrieval mechanisms. With over 63,000 U.S. K-12 science and mathematics education standards and a rapid proliferation of Web-enabled curriculum, retrieving curriculum that aligns with the standards to which teachers must teach is increasingly important. Previous studies of such alignment use single-dimensional and binary measures of relevance. Perhaps as a consequence they suffer from low inter-rater reliability (IRR), with experts agreeing about alignments only some 20-40% of the time. We present the results of an experiment in which the dependent variable ‘alignment’ is operationalized using the Saracevic model of relevance in which; i.e., alignment is defined and measured through ‘clues’ from the everyday practice of K-12 teaching. Results show higher inter-rater reliability on all clues with significantly higher IRR on several specific alignment dimensions. In addition, a (linear) model of ‘overall alignment’ is derived and estimated. Both the structure and explanatory power of the model differ significantly between searching vs. assessment. These results illustrate the usefulness of clue-based relevance measures for information retrieval and have important consequences for both the formulation of automated retrieval mechanisms and the construction of a gold standard set of standard-curriculum alignments.10aAccounting10aBIS1 aReitsma, Reindert1 aMarshall, Byron1 aZarske, Malinda  uhttp://www.sciencedirect.com/science/article/B6VC8-4XF7Y02-1/2/3fd5e4257f3d904d5929eeff2185c678