Research emphasises that effective and efficient end-user training is a vital component of the successful utilization of computer technology and that individual differences (e.g., learning styles, cognitive reasoning schemata) may effect the outcomes of end-user training. This study investigates the relationships between end users' Motivational Intent to use computer technology and individual differences. End users' Motivational Intent to use computer technology is significantly different for between-subjects grouped according to their level of anxiety (i.e., positive, neutral, negative). The empirical results indicate that end users' scholastic ability is an important predictor of the incremental change over time to end users' Motivational Intent to use computer technology. End users' learning styles impact the incremental change over time to end users' Motivational Intent to use computer technology. The results suggest that the tailoring of end-user training methods, techniques and materials to accomodate individual differences may be beneficial and worthwhile. / x, 99 leaves : ill. ; 28 cm.

Thesis (D. Min.)--Southwestern Baptist Theological Seminary, 1987. / Bibliography: leaves 305-310.

Thesis (Ed. D.)--University of Alabama, 1991. / eContent provider-neutral record in process. Description based on print version record. Includes bibliographical references (leaves 111-117).

Thesis (Ed. D.)--University of Alabama, 1991. / Includes bibliographical references (leaves 111-117).

Master-Arbeit Univ. St. Gallen, 2008.

Thesis (Ph. D.)--Oregon State University, 2007. / Printout. Includes bibliographical references (leaves 192-202). Also available on the World Wide Web.

Today’s software applications are often scattered in many layers, suchas connected to cloud services or third-party solutions. This makes itimportant to ensure that a software application works as intended ina real-world setting, especially when changes are made to the codebase. End-to-End (E2E) tests are made to ensure the software has theexpected behavior from an end-user’s viewpoint. Automation of thesoftware testing process is often implemented since it has the potentialto be more time-efficient than manually inspecting the behavior of thesoftware application. This thesis describes the work of implementing automated E2E tests foran e-learning application. The first step in the project was to identifywhich automated testing tool would best suit the criteria laid out for theproject. The criteria were that the testing tool needed to have supportfor testing in the Chrome browser, support for using JavaScript as theprogramming language, and to be open-source and possible to be usedfree of charge. A literature review and a comparison of the most popu-lar E2E testing tools yielded the result that Playwright was best suitedas the automated testing tool because it has good documentation and isspecifically a tool for implementing End-to-End tests. After that, a testsuite consisting of 11 test cases was implemented in Playwright. Thetest cases were evaluated and improved in an iterative process con-cerning robustness and performance. This project supports previousobservations that automation of the test process is time-consuming inthe initial stage. This thesis concluded that Playwright is a suitable tool to use withinE2E testing, with a low learning curve. Furthermore, it concluded thatthe robustness of the tests is an important factor for the tests to be use-ful in the testing process. Tests that unexpectedly fail on occasion needto be properly investigated. It would be important to have a proper testenvironment where test data can be reset, so all the desired user flowscan get a test case. Developers and testers benefit from working closelytogether. The collaborative company can take the findings from this re-search for future reference, in case they decide to update the company’scurrent testing process.

Software-defined Networking (SDN) enables flexible network management, but as networks evolve to a large number of end-points with diverse network policies, higher speed, and higher utilization, abstraction of networks by SDN makes monitoring and debugging network problems increasingly harder and challenging. While some problems impact packet processing in the data plane (e.g., congestion), some cause policy deployment failures (e.g., hardware bugs); both create inconsistency between operator intent and actual network behavior. Existing debugging tools are not sufficient to accurately detect, localize, and understand the root cause of problems observed in a large-scale networks; either they lack in-network resources (compute, memory, or/and network bandwidth) or take long time for debugging network problems. This thesis presents three debugging tools: PathDump, SwitchPointer, and Scout, and a technique for tracing packet trajectories called CherryPick. We call for a different approach to network monitoring and debugging: in contrast to implementing debugging functionality entirely in-network, we should carefully partition the debugging tasks between end-hosts and network elements. Towards this direction, we present CherryPick, PathDump, and SwitchPointer. The core of CherryPick is to cherry-pick the links that are key to representing an end-to-end path of a packet, and to embed picked linkIDs into its header on its way to destination. PathDump is an end-host based network debugger based on tracing packet trajectories, and exploits resources at the end-hosts to implement various monitoring and debugging functionalities. PathDump currently runs over a real network comprising only of commodity hardware, and yet, can support surprisingly a large class of network debugging problems with minimal in-network functionality. The key contributions of SwitchPointer is to efficiently provide network visibility to end-host based network debuggers like PathDump by using switch memory as a "directory service" - each switch, rather than storing telemetry data necessary for debugging functionalities, stores pointers to end hosts where relevant telemetry data is stored. The key design choice of thinking about memory as a directory service allows to solve performance problems that were hard or infeasible with existing designs. Finally, we present and solve a network policy fault localization problem that arises in operating policy management frameworks for a production network. We develop Scout, a fully-automated system that localizes faults in a large scale policy deployment and further pin-points the physical-level failures which are most likely cause for observed faults.

No description available.

Many organizations such as the Institute of Medicine, the World Health Organization and the National Consensus Project for Quality Palliative Care have identified the need for equitable access to palliative and end-of-life care (Ferrell, Coyle, & Paice, 2015). However, in many rural areas of the world, including rural Wyoming, patients at end-of-life are cared for in acute care settings where nurses have not received specialized training and education on evidence based end-of-life care. The aim for this DNP project was to assess rural registered nurses' perceptions of competencies important in end-of-life nursing practice (Coyne & White, 2011). A 32-item survey developed by White and Coyne (2011) was adapted for use in a rural critical access hospital to determine content priorities and educational needs of generalist nurses in a rural setting, regarding providing palliative and end-of-life care. A purposive sample of 16 nurses in a rural critical access hospital in Wheatland, WY, who care for patients at end-of-life, completed the survey. Only one-third of the nurses surveyed reported receiving any type of end-of-life care education in the prior two years. Similar to findings from the study completed in 2011 in an urban area, symptom management, talking to patients and families about death and dying, and pain control were the highest ranking core competencies. Nurses who did report receiving education in end-of-life care still felt inadequately prepared to talk to patients and families about dying, and this needs assessment identified that educational gaps are evident regarding provision of end-of-life nursing care in rural settings. The information gleaned from this survey will be used to design an educational program to disseminate evidence based practice guidelines regarding providing quality end-of-life care using ELNEC (End-of-Life Nursing Education Consortium) modules based on the findings of the needs assessment survey