Schooling effects on degree performance: A comparison of the predictive validity of aptitude testing and secondary school grades at Oxford University

This article examines the cause of school type effects upon gaining a first class degree at Oxford University, whereby for a given level of secondary school performance, private school students perform less well at degree level. We compare the predictive power of an aptitude test and secondary school grades (GCSEs) for final examination performance, using data from the Oxford Admissions Study. Both metrics are predictive of final degree performance but the school effects are only statistically robust for arts students. Private school students perform less well in final examinations relative to their GCSE results when compared with state school students, but they do not under perform relative to their aptitude test scores or in gross terms. It is therefore argued that teaching effects, associated with private school students, distort secondary school grades as an indicator of academic potential in higher education when compared to state school students.     

Graph-based data mining: A new tool for the analysis and comparison of scientific domains represented as scientograms

The creation of some kind of representations depicting the current state of Science (or scientograms) is an established and beaten track for many years now. However, if we are concerned with the automatic comparison, analysis and understanding of a set of scientograms, showing for instance the evolution of a scientific domain or a face-to-face comparison of several countries, the task is titanically complex as the amount of data to analyze becomes huge and complex. In this paper, we aim to show that graph-based data mining tools are useful to deal with scientogram analysis. Subdue, the first algorithm proposed in the graph mining area, has been chosen for this purpose. This algorithm has been customized to deal with three different scientogram analysis tasks regarding the evolution of a scientific domain over time, the extraction of the common research categories substructures in the world, and the comparison of scientific domains between different countries. The outcomes obtained in the developed experiments have clearly demonstrated the potential of graph mining tools in scientogram analysis.     

Tuning procedure for event-based PI controllers under regular quantization with hysteresis

In this paper a tuning procedure is proposed for event based PI controllers with Regular Quantization with Hysteresis (RQH) sampling law. The RQH is a generalization of Symmetric Send on Delta (SSOD) strategy which decreases the robustness requirements to avoid limit cycle oscillations and reduce the number of events needed for control, improving the overall performance of PI controllers in networked control systems. The tuning procedure takes into account not only classical robustness margins but also takes advantage of some specific robustness measures to avoid limit cycle oscillations induced by the sampler. As the robustness analysis depends on the Describing Function (DF) method, a study evaluating the effect of high order harmonics is provided, showing the validity of the tuning procedure. Some examples are included in which the usefulness of the tuning procedure is shown.     

Cultural variations,cognitive styles and education in Latin America

Has taught Latin American sociology and literature, and linguistics, at the University of Saint-Étienne, France, since 1975. Has carried out research on the relation between school inequalities and sociocultural differences in Chile and also on the historical evolution of teaching in Chile.     

Problem-based learning supported by semantic techniques

Problem-based learning has been applied over the last three decades to a diverse range of learning environments. In this educational approach, different problems are posed to the learners so that they can develop different solutions while learning about the problem domain. When applied to conceptual modelling, and particularly to Qualitative Reasoning, the solutions to problems are models that represent the behaviour of a dynamic system. The learner's task then is to bridge the gap between their initial model, as their first attempt to represent the system, and the target models that provide solutions to that problem. We propose the use of semantic technologies and resources to help in bridging that gap by providing links to terminology and formal definitions, and matching techniques to allow learners to benefit from existing models.     

Reality Therapy and Personalized Instruction: A Success Story

Abstract

A longitudinal pilot study investigating the cumulative effects of reality therapy counseling and individualized instruction on the control expectancy and success rates of high-risk community college students was conducted. Findings support the tentative hypotheses that control expectancy, achievement, and holding power can be modified by instruction and counseling. The study was conducted over a three-year period at a community college in southeastern North Carolina.     

A model for predicting the educational use of information and communication technologies

This study of 550 persons, predominately education professionals, was designed to test an integrated theoretical model (the 4-E Model) for predicting the likelihood of the use of telecommunications-related technological innovations (in particular, e-mail, the WWW, and videoconferencing) in learning-related settings. The four Es in the model, derived from a series of previous studies (Collis & Pals, 1999), are environmental factors, effectiveness, ease of use, and (personal) engagement. The model was first tested using factor-analytic procedures on the results of a 54-item questionnaire adminstered via the WWW to a sample of 550 persons from 39 countries. Twelve factors with eigenvalues greater than 1.00 were extracted and latent variables were generated to correspond with the factors. The factors as interpreted by items with loadings <0.500 supported the 4-E Model, but indicated that the four theoretical e dimensions could be further expressed in terms of subaspects. In addition, a series of variables related to likelihood of use of e-mail, the WWW, and videoconferencing in educational settings was also subjected to a factor analysis, resulting in three latent variables representing the dependent variables for a causal model. The causal model linking the latent variables was tested using a series of LISREL analyses, one for each of the derived dependent variables. The results, which again supported the 4-E Model, showed a strong contribution of the environment subfactor relating to the organization, as well as the engagement subfactor relating to the individual's self-confidence with respect to technology use to the prediction of implementation success. Based on the results of the factor analysis and the model validation, six of the latent variables related to the 4-E Model were identified as key to implementation prediction. These variables were used in a series of analyses of key subgroups in the sample, relating to educational sector, educational role, to gender, and to age, in order to examine key discriminating variables. The results are discussed in terms of their theoretical and practical implications, including the development of a WWW-based instrument.