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Lapp, M S, Grigg, W, & Tay-Lim, B S-H (2002) The nation s report card: US history 2001 Washington, DC: US Department of Education, Of ce of Educational Research and Improvement Mangan, K S (2001a, September 13) UNext lays off 135 employees, citing need to spend conservatively The Chronicle of Higher Education Retrieved April 19, 2002, from http://chroniclecom/free/2001/09/2001091301uhtm Mangan, K S (2001b, September 25) Error message leads many who took GMAT to question their scores The Chronicle of Higher Education Retrieved April 19, 2002, from http://wwwuhedu/admin/media/topstories/che092501gmathtm Maslen, G (2001, August 8) Australia will spend $100-million on distance programs for developing countries The Chronicle of Higher Education Retrieved April 19, 2002, from http://chroniclecom/free/2001/08/2001080801uhtm McKinsey & Company (2001) US productivity growth, 1995 2000 Retrieved April 19, 2002, from http://wwwmckinseycom/knowledge/mgi/feature/indexasp Mead, A D, & Drasgow, F (1993) Equivalence of computerized and paper-and-pencil cognitive ability tests: A meta-analysis Psychological Bulletin, 114:449 458 Mislevy, R J, Steinberg, L S, Almond, R G, Breyer, F J, & Johnson, L (2001) Making sense of data from complex assessments (CSE Technical Report 538) Retrieved April 19, 2002, from the UCLA CRESST web site: http://wwwcseuclaedu/CRESST/Reports/ RML%20TR%20538pdf Moe, M T, & Blodget, H (2000) The knowledge web: People power Fuel for the new economy San Francisco: Merrill Lynch National Association of State Boards of Education (NASBE) (2001) Any time, any place, any path, any pace: Taking the lead on e-learning policy Retrieved April 19, 2002, from http://wwwnasbeorg/Organization_Information/e_learningpdf National Center for Education Statistics (2000) Teacher use of computers and the Internet in public schools (NCES 2000-090) Retrieved May 29, 2002, from the US Department of Education web site: http://ncesedgov/pubs2000/2000090pdf National Center for Education Statistics (2002) Internet access in US public schools and classrooms: 1994 2001 (NCES 2002-018) Washington, DC: US Department of Education, Of ce of Research and Improvement, National Center for Education Statistics National Commission on Excellence in Education (1983) A nation at risk: The imperative for educational reform Retrieved April 19, 2002, from http://wwwedgov/pubs/NatAtRisk/ Negroponte, N (1995) Being digital New York: Vintage Neuburger, W (2001, April) On-line assessments: A state s perspective In R E Bennett (Chair), The Three W s meet the Three R s : Computer-based testing in the schools Why, what, and how Symposium conducted at the annual meeting of the National Council on Measurement in Education, Seattle, WA Oliner, S D, & Sichel, D E (2000, March) The resurgence of growth in the late 1990s: Is information technology the story In Structural Change and Monetary Policy Conference sponsored by the Federal Reserve Bank of San Francisco and Stanford Institute for Economic Policy Research, San Francisco Retrieved April 19, 2002, from http://wwwfrbsforg/economics/conferences/000303/papers/resurgencepdf Olson, L (2002, January 23) Idaho to adopt adaptive online state testing Education Week Retrieved April 19, 2002, from http://wwwedweekorg/ew/newstorycfm slug 19onlineh21 Olson, L (2003) Legal twists, digital turns: Computerized testing feels the impact of No Child Left Behind Education Week, 12(35), 11 14, 16 Oregon Department of Education (ODE) (2002) Technology Enhanced Student Assessment (TESA) system Retrieved April 19, 2002, from http://wwwodestateorus/asmt/tesa/ Pellegrino, J W, Chudowski, N, & Glaser, R (Eds) (2001) Knowing what students know: The science and design of educational assessment Washington, DC: National Academy Press.



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manager in the division headquarters Policy managers lower in the hierarchy still have some exibility in selecting local policies as long as the local policies are consistent with the global policies that are de ned at the top of the hierarchy Management of networks in commercial enterprises is also naturally hierarchical within enterprises For example, a top level policy manager (probably located in the headquarters of a corporation) may de ne a global policy that applies across the entire enterprise while local organizations within the enterprise may de ne local policies that only apply within that local organization as long as such policies are consistent with the global policy Both the peer-to-peer architecture and the hierarchical architecture seem to have important applications in speci c environments It is also possible that the two architectures can work together in support of some applications For example, in a military environment the hierarchical approach can be used for managing the network of a coalition partner while policy management across coalition partners can be supported by the peer-to-peer architecture Similarly in a commercial environment the hierarchical architecture can be used for managing secure collaboration within the enterprise while the peer-to-peer architecture is used for managing secure collaboration across multiple enterprises 6243 Use of Clustering Even though policy management has been an area of interest in the past several years, most of the efforts have focused on the application of policy management to enterprise wireline and fairly static networks Limited research has been conducted on how to apply the policy management concepts to the wireless ad hoc networking environment The most prominent efforts have been conducted through funding from the Army and have been published in [114 116] A unique challenge in the wireless ad hoc networking environment is the placement of policy servers within the network This problem applies both to the peer-to-peer and hierarchical architectures discussed earlier In a traditional wireline network, the policy manager is placed on speci c nodes that are selected by network administrators when the network is rst con gured The policy manager is not migrated to a different node unless the node hosting it fails In the ad hoc networking environment, a static policy management architecture where the policy manager is placed on a prede ned node is not viable This is because nodes could move around and may cross from one domain to another, nodes could get captured and destroyed on a frequent basis, nodes could lose connectivity from other nodes, often forcing the redrawing of domains, and the network could change in unpredictable ways Hence it might not be appropriate for any prede ned nodes to be hosting the policy manager Therefore, selecting the nodes where to host the policy manager is a challenging research problem in such networks Chadha et al [116] have proposed to use clustering for organizing event reporting and dissemination functions as well as for selecting where to place certain policy management functions in a MANET This concept is similar to the concept used for selecting where to place the intrusion detection correlation capabilities described in 5 The key idea is the use of clustering algorithms for organizing nodes in groups (called clusters) Such groups are typically groups of nodes that are located close to each other and have direct connectivity to each other Once clusters have been formed, the clustering algorithms can be used for electing leaders in those groups called clusterheads The clusterheads can be used for hosting a speci c function for the whole group One such function can be the policy manager or intrusion correlation function as discussed in 5 Since the clusters are usually organized based on how nodes are connected, clusterheads usually tend to be centrally located within the cluster and have direct connectivity with a large number of nodes belonging to the cluster Such an approach reduces the overhead.

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