“Fear God; Fear the Bogaze”: The Nile Mouths and the Navigational Landscape of the Medieval Nile Delta,Egypt

By the fourth/tenth century, Egypt's Nile Delta had just two major Delta branches debouching directly into the Mediterranean – the Dumyā? (Damietta) and Rashīd (Rosetta). Navigational conditions at these branches’ mouths were treacherous because of a combination of currents, winds, wave-fields and shifting sandbanks. These conditions were a danger to shipping, and so had a formative effect on the navigational landscape of the Delta. Despite its remoteness from the Nile, Alexandria remained Egypt's chief Mediterranean port, but only because river connections were maintained that avoided the Rashīd mouth. In contrast, the port of Rashīd was relatively insignificant. Similar conditions at the Dumyā? mouth prompted navigators to adopt routes via Lake Tinnīs, modern Lake Manzala, which linked to the sea through its calmer sea mouths. This article brings together material from multiple disciplines to offer a new understanding of the navigational context of Egypt's medieval Mediterranean ports.     

Statistical methods for analysing discrete and categorical data recorded in performance analysis

In this paper, we identify appropriate statistical methods for analysing categorical differences in discrete variables or 'performance indicators' resulting from performance analysis. The random mechanisms associated with discrete events do not follow a normal distribution; that is, the normal distribution is a continuous not a discrete probability distribution. We propose appropriate statistical methods based on two key discrete probability distributions, the Poisson and binomial distributions. Two approaches are proposed and compared using examples from notational analysis. The first approach is based on the classic chi-square test of significance (both the goodness-of-fit test and the test of independence). The second approach adopts a more contemporary method based on log-linear and logit models fitted using the statistical software GLIM. Provided relatively simple one-way and two-way comparisons in categorical data are required, both of these approaches result in very similar conclusions. However, as soon as more complex models or higher-order comparisons are required, the approach based on log-linear and logit models is shown to be more effective. Indeed, when investigating those factors and categorical differences associated with binomial or binary response variables, such as the proportion of winners when attempting decisive shots in squash or the proportion of goals scored from all shots in association football, logit models become the only realistic method available. By applying log-linear and logit models to discrete events resulting from notational analysis, greater insight into the underlying mechanisms associated with sport performance can be achieved.     

Pop-Up Library at the University of Birmingham: Extending the Reach of an Academic Library by Taking “The Library” to the Students

ABSTRACT

Aligning with student engagement and promotional strategies, a Pop-Up Library project was initiated at the University of Birmingham. This involved setting up temporary, staffed stalls in different locations across campus in order to informally communicate with students and effectively take “the Library” to them. This article discusses the planning and implementation of the Pop-Up Library, including the rationale for the initiative. Details are given of the stalls themselves, the wide range of staff involved, the many locations trialed, the promotional materials used, and the ways in which the venture was advertised and subsequently evaluated. Results of a questionnaire used on the stalls are presented. Conclusions are drawn as to the effectiveness of the Pop-Up Library as a communication tool, with particular emphasis on breaking down barriers between students and library staff, and proactively raising students' awareness of the many ways Library Services can enhance their learning.     

A Genetically Optimized Predictive System for Success in General Chemistry Using a Diagnostic Algebra Test

In higher education, many high-enrollment introductory courses have evolved into “gatekeeper” courses due to their high failure rates. These courses prevent many students from attaining their educational goals and often become graduation roadblocks. At the authors’ home institution, general chemistry has become a gatekeeper course in which approximately 25% of students do not pass. This failure rate in chemistry is common, and often higher, at many other institutions of higher education, and mathematical deficiencies are perceived to be a large contributing factor. This paper details the development of a highly accurate predictive system that identifies students at the beginning of the semester who are “at-risk” for earning a grade of C- or below in chemistry. The predictive accuracy of this system is maximized by using a genetically optimized neural network to analyze the results of a diagnostic algebra test designed for a specific population. Once at-risk students have been identified, they can be helped to improve their chances of success using techniques such as concurrent support courses, online tutorials, “just-in-time” instructional aides, study skills, motivational interviewing, and/or peer mentoring.     

Discipline‐related Marking Behaviour Using Percentages: a potential cause of inequity in assessment

This study set out to ascertain whether percentage mark distributions show evidence of discipline‐related marking behaviour and, if so, to consider the implications of this for equity in assessment outcomes. Performance data were obtained for 10 subjects at seven English universities for 1993–94, 1994–95 and 1995–96. The data showed that mark distributions at universities using percentages may be categorised into three Types (A,B and C). Type A distributions (English and History) are characterised by a steep‐sided negatively skewed distribution with a narrow spread. Pronounced microscale variation in the frequency is evident only in the vicinity of the mode between 55‐65%. Type B distributions (Biology, Business Studies, Fine Art, French, Law and Sociology) have a slightly broader spread and display microscale variation in frequency across a wider range of percentiles [40‐70%]. Type C distributions (Computer Studies and Mathematics) are characterised by a subdued, slightly negatively skewed distribution with a considerably wider spread. Type C distributions show conspicuous microscale variation in frequency across most of the percentile range. The types of distributions appear to reflect the relative confidence of assessors in different disciplines in awarding marks. The extremities of the percentage scale are perceived as insecure territory for the assessors of qualitative subject matter. Type A distributions are characteristic of disciplines in which the assessment is qualitative. Type B distributions may reflect the assessment of combined qualitative‐quantitative subject matter. Type C distributions are typical of disciplines in which more quantitative matter is assessed. The existence of discipline‐related patterns of distribution is a potential cause of inequity of outcomes for students on joint or multidisciplinary programmes. Data derived from institutions using grading scales show that discipline‐related patterns are less evident.