Search (3 results, page 1 of 1)

  • × author_ss:"Diekema, A.R."
  1. Devaul, H.; Diekema, A.R.; Ostwald, J.: Computer-assisted assignment of educational standards using natural language processing (2011) 0.00
    0.0022540248 = product of:
      0.03381037 = sum of:
        0.03381037 = sum of:
          0.010253613 = weight(_text_:information in 4199) [ClassicSimilarity], result of:
            0.010253613 = score(doc=4199,freq=6.0), product of:
              0.050870337 = queryWeight, product of:
                1.7554779 = idf(docFreq=20772, maxDocs=44218)
                0.028978055 = queryNorm
              0.20156369 = fieldWeight in 4199, product of:
                2.4494898 = tf(freq=6.0), with freq of:
                  6.0 = termFreq=6.0
                1.7554779 = idf(docFreq=20772, maxDocs=44218)
                0.046875 = fieldNorm(doc=4199)
          0.023556758 = weight(_text_:22 in 4199) [ClassicSimilarity], result of:
            0.023556758 = score(doc=4199,freq=2.0), product of:
              0.101476215 = queryWeight, product of:
                3.5018296 = idf(docFreq=3622, maxDocs=44218)
                0.028978055 = queryNorm
              0.23214069 = fieldWeight in 4199, product of:
                1.4142135 = tf(freq=2.0), with freq of:
                  2.0 = termFreq=2.0
                3.5018296 = idf(docFreq=3622, maxDocs=44218)
                0.046875 = fieldNorm(doc=4199)
      0.06666667 = coord(1/15)
    
    Abstract
    Educational standards are a central focus of the current educational system in the United States, underpinning educational practice, curriculum design, teacher professional development, and high-stakes testing and assessment. Digital library users have requested that this information be accessible in association with digital learning resources to support teaching and learning as well as accountability requirements. Providing this information is complex because of the variability and number of standards documents in use at the national, state, and local level. This article describes a cataloging tool that aids catalogers in the assignment of standards metadata to digital library resources, using natural language processing techniques. The research explores whether the standards suggestor service would suggest the same standards as a human, whether relevant standards are ranked appropriately in the result set, and whether the relevance of the suggested assignments improve when, in addition to resource content, metadata is included in the query to the cataloging tool. The article also discusses how this service might streamline the cataloging workflow.
    Date
    22. 1.2011 14:25:32
    Source
    Journal of the American Society for Information Science and Technology. 62(2011) no.2, S.395-405
  2. Diekema, A.R.; Olsen, M.W.: Teacher Personal information management (PIM) practices : finding, keeping, and Re-Finding information (2014) 0.00
    6.780133E-4 = product of:
      0.010170199 = sum of:
        0.010170199 = product of:
          0.020340398 = sum of:
            0.020340398 = weight(_text_:information in 1532) [ClassicSimilarity], result of:
              0.020340398 = score(doc=1532,freq=34.0), product of:
                0.050870337 = queryWeight, product of:
                  1.7554779 = idf(docFreq=20772, maxDocs=44218)
                  0.028978055 = queryNorm
                0.39984792 = fieldWeight in 1532, product of:
                  5.8309517 = tf(freq=34.0), with freq of:
                    34.0 = termFreq=34.0
                  1.7554779 = idf(docFreq=20772, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=1532)
          0.5 = coord(1/2)
      0.06666667 = coord(1/15)
    
    Abstract
    Primary and secondary (K-12) teachers form the essential core of children's formal learning before adulthood. Even though teaching is a mainstream, information-rich profession, teachers are understudied as information users. More specifically, not much is known about teacher personal information management (PIM). Teacher PIM is critically important, as teachers navigate a complex information space complicated by the duality of digital and physical information streams and changing demands on instruction. Our research study increases understanding of teacher PIM and informs the development of tools to support educators. Some important unknowns exist about teachers as information users: What are teachers' PIM practices? What are the perceived consequences of these practices for teaching and learning? How can PIM practices be facilitated to benefit teaching and learning? This study employed a qualitative research design, with interviews from 24 primary and secondary teachers. We observed various systems for information organization, and teachers report their systems to be effective. Important sources for teachers' information in order of importance are personal collections, close colleagues, and the Internet. Key findings reveal that inheriting and sharing information play an important part in information acquisition for teachers and that information technology supporting education creates unintentional demands on information management. The findings on the nature of teacher information, teacher information finding, keeping, and organizational practices have important implications for teachers themselves, school principals, digital library developers, school librarians, curriculum developers, educational technology developers, and educational policy makers.
    Source
    Journal of the Association for Information Science and Technology. 65(2014) no.11, S.2261-2277
  3. Oard, D.W.; Diekema, A.R.: Cross-language information retrieval (1999) 0.00
    6.511586E-4 = product of:
      0.009767379 = sum of:
        0.009767379 = product of:
          0.019534757 = sum of:
            0.019534757 = weight(_text_:information in 4690) [ClassicSimilarity], result of:
              0.019534757 = score(doc=4690,freq=4.0), product of:
                0.050870337 = queryWeight, product of:
                  1.7554779 = idf(docFreq=20772, maxDocs=44218)
                  0.028978055 = queryNorm
                0.3840108 = fieldWeight in 4690, product of:
                  2.0 = tf(freq=4.0), with freq of:
                    4.0 = termFreq=4.0
                  1.7554779 = idf(docFreq=20772, maxDocs=44218)
                  0.109375 = fieldNorm(doc=4690)
          0.5 = coord(1/2)
      0.06666667 = coord(1/15)
    
    Source
    Annual review of information science and technology. 33(1998), S.223-255