An assessment of criteria to evaluate the graduate education program in Brazil

This study sought to identify criteria adequate for the evaluation of graduate programs in Brazil. A survey was the means for collecting the ratings and rankings given by faculty members at selected Brazilian graduate programs. A questionnaire using Likerttype and ranking items asked the importance attributed by each respondent to each of the 109 items listed. The data analysis reported in this dissertation indicates that the most highly rated criteria and indicators were: (1) Library: current periodicals; (2) Facilities: classrooms and laboratories; (3) Library: books and monographs; (4) Academic Environment: discussion, investigation, and expression; and (5) Facilities: research space and equipment. The study presents the means and standard deviations obtained for each indicator and also includes some figures obtained for a relational analysis. This dissertation was developed to provide useful information to educational planners, policy makers, administrators, and evaluators involved in Brazilian higher education or comparative studies. It is suggested that additional investigations concentrate on more specific and in-depth analysis and interpretation of the policymaking processes, i.e., on the study of social facts or organizational and academic variables in their relationships with aspects of the educational system. The appendices section includes a facsimile of the questionnaire and additional data.

A BDI-based approach for the assessment of driver's decision-making in commuter scenarios

The rapid growth of urban areas has a significant impact on traffic and transportation systems. New management policies and planning strategies are clearly necessary to cope with the more than ever limited capacity of existing road networks. The concept of Intelligent Transportation System (ITS) arises in this scenario; rather than attempting to increase road capacity by means of physical modifications to the infrastructure, the premise of ITS relies on the use of advanced communication and computer technologies to handle today’s traffic and transportation facilities. Influencing users’ behaviour patterns is a challenge that has stimulated much research in the ITS field, where human factors start gaining great importance to modelling, simulating, and assessing such an innovative approach. This work is aimed at using Multi-agent Systems (MAS) to represent the traffic and transportation systems in the light of the new performance measures brought about by ITS technologies. Agent features have good potentialities to represent those components of a system that are geographically and functionally distributed, such as most components in traffic and transportation. A BDI (beliefs, desires, and intentions) architecture is presented as an alternative to traditional models used to represent the driver behaviour within microscopic simulation allowing for an explicit representation of users’ mental states. Basic concepts of ITS and MAS are presented, as well as some application examples related to the subject. This has motivated the extension of an existing microscopic simulation framework to incorporate MAS features to enhance the representation of drivers. This way demand is generated from a population of agents as the result of their decisions on route and departure time, on a daily basis. The extended simulation model that now supports the interaction of BDI driver agents was effectively implemented, and different experiments were performed to test this approach in commuter scenarios. MAS provides a process-driven approach that fosters the easy construction of modular, robust, and scalable models, characteristics that lack in former result-driven approaches. Its abstraction premises allow for a closer association between the model and its practical implementation. Uncertainty and variability are addressed in a straightforward manner, as an easier representation of humanlike behaviours within the driver structure is provided by cognitive architectures, such as the BDI approach used in this work. This way MAS extends microscopic simulation of traffic to better address the complexity inherent in ITS technologies.