Discourses on information ethics: The claim to universality

An important question one can ask of ethical theories is whether and how they aim to raise claims to universality. This refers to the subject area that they intend to describe or govern and also to the question whether they claim to be binding for all (moral) agents. This paper discusses the question of universality of Luciano Floridi’s information ethics (IE). This is done by introducing the theory and discussing its conceptual foundations and applications. The emphasis will be placed on the ontological grounding of IE. IE’s claims to universality will be contrasted with those raised by discourse ethics. This comparison of two pertinent ethical theories allows for a critical discussion of areas where IE currently has room for elaboration and development.     

Technology,capabilities and critical perspectives: what can critical theory contribute to Sen’s capability approach?

This paper explores what insights can be drawn from critical theory to enrich and strengthen Sen’s capability approach in relation to technology and human development. The two theories share some important commonalities: both are concerned with the pursuit of “a good life”; both are normative theories rooted in ethics and meant to make a difference, and both are interested in democracy. The paper provides a brief overview of both schools of thought and their applications to technology and human development. Three areas are identified where critical theory can make a contribution to the capability approach: conceptually, by providing a critical account of individual agency and enriching the concept of technology beyond the simplistic notion of commodities; methodologically, by sensitising towards reification and hegemony of scientific tools, and, finally, by emphasising reflexivity of researchers.     

Mathematics motivation and engagement: an independent evaluation of a complex model with Australian rural high school students

Most traditional models of academic motivation focus on a small number of specific factors. However, the Student Motivation and Engagement Scale (MES) (Martin, 2007b Martin, A.J. 2007b. The motivation and engagement scale, Sydney, , Australia: Lifelong Achievement Group.  [Google Scholar]) includes a fairly comprehensive range of perspectives on general student motivation. The current study set out (a) to provide an independent test of the proposed 11-factor structure of the MES for boys and girls when (b) applied to high school mathematics in Australia (N = 1014; Years 7 to 11). It also examined (c) the covariation of different facets of motivation and engagement with gender, year level, and scholastic achievement. The hypothesised 11-factor model fit reasonably well across gender, and there was clear evidence of specificity to maths compared to English achievement. Some gender and grade effects were observed as well. The study provides support for the value of the Martin model and its instrument. It also extends our knowledge of student motivation to mathematics in Australian rural high schools.     

Get Your Head in the Clouds

No abstract available for this article.     

The e-Book Apocalypse: A Survivor's Guide

As an outgrowth of its course in online literature searching, the University of Washington School of Librarianship has recently added a course on numeric databases to its professional degree program. It emphasizes the relationship of these files to bibliographic databases and their application to general library service, rather than concepts of data management or statistical techniques, although attention was also given to these topics. Hands-on experience in searching socioeconomic databases provides students without research experience with an awareness of the character and capability of these resources. The course serves both as an introduction to a career specialization in data management as well as an examination of the role of numeric databases in library reference services. Given the increasing importance of statistical analysis in the social sciences, academic concern for training in the use of numeric databases is of a particular concern to the behavioral or social science librarian.     

LETTERS TO THE EDITOR

No abstract available for this article.     

Football experts versus sports economists: Whose forecasts are better?

Given the uncertainty of outcome in sport, predicting the outcome of sporting contests is a major topic in sport sciences. This study examines the accuracy of expert predictions in the German Bundesliga and compares their predictions to those of sports economists. Prior to the start of each season, a set of distinguished experts (head coaches and players) express their subjective evaluations of the teams in school grades. While experts may be driven by irrational sentiments and may therefore systematically over- or underestimate specific teams, sports economists use observable characteristics to predict season outcomes. The latter typically use team wage bills given the positive pay–performance relationship as well as other factors (average team age, tenure, appearances on national team, and attendance). Using data from 15 consecutive Bundesliga seasons, the predictive accuracy of expert evaluations and sports economists is analysed. The results of separate estimations show that relative grade and relative wage bill significantly affect relative points, while age, tenure, appearances, and attendance are insignificant. In a joint model, relative grade and relative wage bill are still statistically significant, suggesting that the two types of predictions are complements rather than substitutes. Consequently, football experts and sports economists seem to rely on completely different sources of information when making their predictions.     

A Conceptual View of Web-Based E-Learning Systems

Starting from a general framework for web-based e-learning systems that is based on an abstraction layer model, this paper presents a conceptual modelling approach, which captures the modelling of learners, the modelling of courses, the personalisation of courses, and the management of data in e-learning systems. Courses are modelled by outline graphs, which are further refined by some form of process algebra. The linguistic analysis of word fields referring to an application domain helps to set up these course outlines. Learners are modelled by classifying value combinations for their characteristic properties. Each learner type gives rise to intentions as well as rights and obligations in using a learning system. Intentions can be formalised as postconditions, while rights and obligations lead to deontic constraints. The intentions can be used for the personalisation of the learning system to a learner type. Finally, the management of data in an e-learning system is approached on two different levels dealing with the content of individual learning units and the integrated content of the whole system, respectively. This leads to supporting databases and views defined on them.