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an entire test item bank out there , it is also dif cult to ensure that changes to test items and/or test driver components are completely up to date and synchronized across the entire testing enterprise For example, consider the possibility that two examinees in separate locations get the same test question except that one of the items is correct while the second is incorrect This is a very plausible event, if the item data presented to each of these two examinees is stored locally at their respective test centers and updates are not properly synchronized The inability to ensure simultaneous, fully synchronous updating of all active test materials is a special case of what is called propagation delay Barring the capability to ensure continuous updates (eg using HDLCWAN technology), one solution is to move toward distributed systems that move smaller packets of data more often over the Internet, with embedded code similar to asynchronous communication The extent of interactivity relates directly to the types of data communication associated with various system-wide connections, that is, central processor to local server(s), central processor to workstations, and local server(s) workstations The choice of testing model and the degree to which the software uses distributed processing technology or middleware may also impact the system interactivity For example, computerized adaptive tests (CATs) tend to be far more interactive that is, more demanding in terms of channel resources than xed tests, since a rather sophisticated scoring procedure and a possibly even more sophisticated an item selection heuristic must be called after each item is administered When these operations are resident on each local workstation, performance is usually excellent When those scoring and item selection operations are moved to a middleware, distributed processing layer either the local server or off-loaded to a processor farm, grid, or cluster performance will probably not be degraded However, if a central processor handles every exchange, item by item, the performance hit can be signi cant In addition, the likelihood of propagation delays and intermittent transmission failures will increase by an order of magnitude, simply because there are more events that can be affected Some of the newer distributed-processing cluster-based and grid-computing technologies (eg using server farms or metro networks ) can actually reallocate and balance processing demands across a wide-area network as needed Storage caching, compression and data-streaming technologies can also be used to reduce some real-time processing loads Proctoring and Test Security The proctoring and test security subsystem can be comprised of a combination of software programs, hardware, and human activities If there are any stakes associated with a test (eg salary increase, promotion, certi cation, licensure, grades, admissions), some examinees will inevitably try to cheat Honor codes, signed attestation statements, and other types of passive security measure notwithstanding, those examinees intent on cheating will nd creative ways to try to game the CBT system They may use surrogate test takers, attempt to.



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then be estimated using the values of these power levels along with a theoretical model For example, the free space model assumes that signal strength decays inversely to the square of the distance The other approach involves the usage of empirical models In this case the signal strength at various locations is measured in an of ine phase and a signal strength (SS) map prepared During the operation of the system, which corresponds to the online phase, the node that has access to such an SS map can measure the signal strength of the other node Using the SS map, the node can then estimate the actual location (and not just the distance between them) of the other node by determining the value of the location that has the closest SS measurements We see from here that this approach requires considerable preplanning Additionally, both these approaches suffer from inaccuracies due to multipath fading, interference, irregular signal propagation characteristics and so on An adversary can also make use of these properties to easily fool the system Techniques based on received signal strength are cooperative techniques For example, the rst approach above based on the use of theoretical models requires a trust relationship between the two nodes It will be very easy for either of those nodes to cheat on the measured distance by reporting falsely on the power level The second approach based on the use of empirical models requires that the nodes do not modify their power levels during transmission In addition, this technique can also be attacked by an attacker, either external15 or internal, by walking around in order to create the SS map Such a map can then be used to fool either the theoretical models or the empirical models by determining the power level at which to transmit.

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