3 resultados para Educational Assessment, Evaluation, and Research
em Repositório digital da Fundação Getúlio Vargas - FGV
Resumo:
Over the past decade, the number and diversity of executive education (EE) programs have continued to grow (BusinessWeek, 2006). With the proliferation of EE programs come the challenges of evaluating the overall quality of such programs. What makes a valuable EE program to the companies that purchase them, to the universities that manage them, and to the participants that learn from them? The present research focuses on key factors that have served to determine the value of EE programs, and apply these criteria to evaluate the quality of a new EE program: The Corporate International Master’s (CIM) program. The CIM program was launched in the fall of 2013. Hence, the present research will focus on evaluating the CIM program in its first year of operations. It is my hope that this research will inform the optimization and future development of the CIM program.
Resumo:
This position paper argues that at this time of Mexico’s ongoing big transformation, legal educators and researchers in Mexico need to pay greater attention to international economic law, and that a renewal and perhaps some re-orientation of the approach to teaching international economic law, could provide significant contributions to and shape and support both the objectives and outcomes of reform in Mexico. International Economic Law courses and research can be made more useful, not only for students themselves, but also for their contribution towards the role that academics, lawyers, and other epistemic communities need to play in the political, economic and social evolution that is accelerating in Mexico.
Resumo:
The papers aims at considering the issue of relative efficiency measurement in the context of the public sector. In particular, we consider the efficiency measurement approach provided by Data Envelopment Analysis (DEA). The application considered the main Brazilian federal universities for the year of 1994. Given the large number of inputs and outputs, this paper advances the idea of using factor analysis to explore common dimensions in the data set. Such procedure made possible a meaningful application of DEA, which finally provided a set of efficiency scores for the universities considered .