Design And Development of Online Admission System For Alquds Open University in Palestine

Student admissions are playing very important role in major activities of the any university as the basic requirement of the university is students and without students university cannot survive. An inefficient admission application system may reduce the number of admitted student in the esteemed university because if the admission system is slow and having many delays in the process. When considering Palestine students this is unfortunate, but when considering Palestinian international students it can mean the difference between success and failure because of the large sums of money each brings to the university’s economy. This project is to design and develop the under-graduate Palestinian international and local admission process at the University of Alquds Open University to develop an easy to use system that will significantly quicken and simplify this process. The interviews were conducted for the data collection, after that the design was made in UML for meeting the requirement of admission system. This admission system was developed by using JSP and MySQL. The system usefulness, quality of information and quality of interface were evaluated by distributing questionnaire to users and analysis on the data collected from questionnaire was analyzed by using SPSS software

Estimating Sample Size for Usability Testing

One strategy used to assure that an interface meets user requirements is to conduct usability testing. When conducting such testing one of the unknowns is sample size. Since extensive testing is costly, minimizing the number of participants can contribute greatly to successful resource management of a project. Even though a significant number of models have been proposed to estimate sample size in usability testing, there is still not consensus on the optimal size. Several studies claim that 3 to 5 users suffice to uncover 80% of problems in a software interface. However, many other studies challenge this assertion. This study analyzed data collected from the user testing of a web application to verify the rule of thumb, commonly known as the “magic number 5”. The outcomes of the analysis showed that the 5-user rule significantly underestimates the required sample size to achieve reasonable levels of problem detection

Reviewing and extending the five-user assumption: A grounded procedure for interaction evaluation

" © ACM, 2013. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in ACM Transactions on Computer-Human Interaction (TOCHI), {VOL 20, ISS 5, (November 2013)} http://doi.acm.org/10.1145/2506210 "The debate concerning how many participants represents a sufficient number for interaction testing is well-established and long-running, with prominent contributions arguing that five users provide a good benchmark when seeking to discover interaction problems. We argue that adoption of five users in this context is often done with little understanding of the basis for, or implications of, the decision. We present an analysis of relevant research to clarify the meaning of the five-user assumption and to examine the way in which the original research that suggested it has been applied. This includes its blind adoption and application in some studies, and complaints about its inadequacies in others. We argue that the five-user assumption is often misunderstood, not only in the field of Human-Computer Interaction, but also in fields such as medical device design, or in business and information applications. The analysis that we present allows us to define a systematic approach for monitoring the sample discovery likelihood, in formative and summative evaluations, and for gathering information in order to make critical decisions during the interaction testing, while respecting the aim of the evaluation and allotted budget. This approach – which we call the ‘Grounded Procedure’ – is introduced and its value argued.The MATCH programme (EPSRC Grants: EP/F063822/1 EP/G012393/1

Estimating Sample Size for Usability Testing

One strategy used to assure that an interface meets user requirements is to conduct usability testing. When conducting such testing one of the unknowns is sample size. Since extensive testing is costly, minimizing the number of participants can contribute greatly to successful resource management of a project. Even though a significant number of models have been proposed to estimate sample size in usability testing, there is still not consensus on the optimal size. Several studies claim that 3 to 5 users suffice to uncover 80% of problems in a software interface. However, many other studies challenge this assertion. This study analyzed data collected from the user testing of a web application to verify the rule of thumb, commonly known as the “magic number 5”. The outcomes of the analysis showed that the 5-user rule significantly underestimates the required sample size to achieve reasonable levels of problem detection

Less users more confidence: How AOIs don’t affect scanpath trend analysis

User studies are typically difficult, recruiting enough users is often problematic and each experiment takes a considerable amount of time to be completed. In these studies, eye tracking is increasingly used which often increases time, therefore, the lower the number of users required for these studies the better for making these kinds of studies more practical in terms of economics and time expended. The possibility of achieving almost the same results with fewer users has already been raised. Specifically, the possibility of achieving 75% similarity to the results of 65 users with 27 users for searching tasks and 34 users for browsing tasks has been observed in scanpath trend analysis which discovers the most commonly followed path on a particular web page in terms of its visual elements or areas of interest (AOIs). Different approaches are available to segment or divide web pages into their visual elements or AOIs. In this paper, we investigate whether the possibility raised by the previous work is restricted to a particular page segmentation approach by replicating the experiments with two other segmentation approaches. The results are consistent with ~5% difference for the searching tasks and ~10% difference for the browsing tasks

Master of Science

thesisThe Residency Review Committee (RRC) requires that general surgery residents document their Surgical Intensive Care Unit (SICU) experiences. To satisfy these requirements we created a web based intranet log to make it easier for residents to track their patients and determine when these requirements were complete. A premium was put on usability to promote acceptance by surgical residents. A prototype web site was designed with input from an attending general surgeon. Three general surgery residents were selected to participate in the iterative design phase. They went through three iterations using a "think-aloud" method while performing tasks on the prototype web site. Each iteration led to improvements to the web site. In a comparison test, a group of seven medical students performed 14 typical web site tasks using both the prototype and the final versions. They were asked to complete a Questionnaire for User Interaction Satisfaction (QUIS) for each version. The time for completion of these tasks was also recorded. The user interaction satisfaction did not show any improvement (F(1,6)=0.13, p=0.912). Similarly, there was no improvement in times for delete and add tasks ( Delete F(1,5) = 0.949, p=0.375, Add F(1,5)=0.267, p=0.628 ); however, the time to complete edit tasks was faster for the final version of the web site (F (1,5)= 14.3, p=0.013). The primary reason for not detecting other differences between the two web sites is likely that the comparison study did not have sufficient power. This was suggested by the participants whose comments favored the final version over the prototype as well as a trend of consistently higher mean subset scores in the final version. The results indicate that differences may be seen when more complex tasks are completed (editing information) versus the two simpler tasks (adding or deleting a patient record in a web site). Future studies should focus on the impact of navigation strategies on speed and data warehouse approaches to creating the application. This study shows the benefits of using an iterative design approach to create a usable web site and demonstrates the importance of further research in the field of usability