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Avaliar universidades não é novidade, e, não suficiente, não é atividade-fim, mas premissa. Esta pesquisa faz uma análise temporal da eficiência relativa de 93 departamentos acadêmicos da UFRGS entre os anos de 1998 e 2007, empregando a técnica de modelagem matemática chamada análise envoltória de dados. Para tanto, o pesquisador utilizou como indicadores de avaliação três fatores de recurso e nove de produto, todos ligados uniformemente a ensino, pesquisa e extensão. Não obstante, a pesquisa ainda estabelece uma relação entre os resultados obtidos no modelo replicado com o modelo hoje adotado pela Universidade para estabelecer um critério justo e igualitário de distribuição das vagas docentes: o índice departamental, instituído em 2001. O trabalho está amparado por ampla pesquisa bibliográfica a respeito de avaliação de instituições de ensino e a técnica de modelagem DEA, passando ainda por diversos estudos que abordam esses modelos. Através de método quantitativo na análise dos dados e qualitativo na validação, o autor apresenta os resultados obtidos. Entre os pontos que cabem destaque, a dissertação de Bandeira (2000), serviu como norteadora do início das atividades do modelo DEA que, passados onze anos, revelou-se progressivamente atual. Por fim, a presente pesquisa confirmou que o modelo aplicado por Bandeira em 2000 merece atualizações, mas preserva indicadores que são próprios aos departamentos. Além disso, as análises em três aninhamentos distintos provou a continuação de certa homogeneidade na eficiência relativa dos 93 departamentos. / To evaluate the universities is not new, but differently from what people think is not activityend, but the premise for quality of services. This research is a temporal analysis of the relative efficiency of ninety-three academic departments of UFRGS between the years 1998 and 2007, using the mathematical modeling technique called data envelopment analysis. For this, the researcher used as indicators to assess three factors and nine feature product, all uniformly connected in teaching, research and extension. Nevertheless, the survey also establishes a relationship between the results obtained in the model replicated and in the model now adopted by the University to establish a fair and equitable criteria for distribution of teaching jobs: the index department, established in 2001. The work is supported by extensive research literature on evaluation of educational institutions and DEA modeling technique, passing by several further studies on these models. Through quantitative method in qualitative data analysis and validation, the author presents the results obtained. Among the prominent points that fit the dissertation of Bandeira (2000), served as the guideline for the inauguration of the DEA model that, after eleven years, has proved increasingly current. Finally, this research confirmed that the model used by Bandeira in 2000 deserves updates, but preserves indicators that are specific to departments. Moreover, the analysis into three distinct nesting proved the continuation of homogeneity in the relative efficiency of ninetythree departments.

Avaliar universidades não é novidade, e, não suficiente, não é atividade-fim, mas premissa. Esta pesquisa faz uma análise temporal da eficiência relativa de 93 departamentos acadêmicos da UFRGS entre os anos de 1998 e 2007, empregando a técnica de modelagem matemática chamada análise envoltória de dados. Para tanto, o pesquisador utilizou como indicadores de avaliação três fatores de recurso e nove de produto, todos ligados uniformemente a ensino, pesquisa e extensão. Não obstante, a pesquisa ainda estabelece uma relação entre os resultados obtidos no modelo replicado com o modelo hoje adotado pela Universidade para estabelecer um critério justo e igualitário de distribuição das vagas docentes: o índice departamental, instituído em 2001. O trabalho está amparado por ampla pesquisa bibliográfica a respeito de avaliação de instituições de ensino e a técnica de modelagem DEA, passando ainda por diversos estudos que abordam esses modelos. Através de método quantitativo na análise dos dados e qualitativo na validação, o autor apresenta os resultados obtidos. Entre os pontos que cabem destaque, a dissertação de Bandeira (2000), serviu como norteadora do início das atividades do modelo DEA que, passados onze anos, revelou-se progressivamente atual. Por fim, a presente pesquisa confirmou que o modelo aplicado por Bandeira em 2000 merece atualizações, mas preserva indicadores que são próprios aos departamentos. Além disso, as análises em três aninhamentos distintos provou a continuação de certa homogeneidade na eficiência relativa dos 93 departamentos. / To evaluate the universities is not new, but differently from what people think is not activityend, but the premise for quality of services. This research is a temporal analysis of the relative efficiency of ninety-three academic departments of UFRGS between the years 1998 and 2007, using the mathematical modeling technique called data envelopment analysis. For this, the researcher used as indicators to assess three factors and nine feature product, all uniformly connected in teaching, research and extension. Nevertheless, the survey also establishes a relationship between the results obtained in the model replicated and in the model now adopted by the University to establish a fair and equitable criteria for distribution of teaching jobs: the index department, established in 2001. The work is supported by extensive research literature on evaluation of educational institutions and DEA modeling technique, passing by several further studies on these models. Through quantitative method in qualitative data analysis and validation, the author presents the results obtained. Among the prominent points that fit the dissertation of Bandeira (2000), served as the guideline for the inauguration of the DEA model that, after eleven years, has proved increasingly current. Finally, this research confirmed that the model used by Bandeira in 2000 deserves updates, but preserves indicators that are specific to departments. Moreover, the analysis into three distinct nesting proved the continuation of homogeneity in the relative efficiency of ninetythree departments.

Avaliar universidades não é novidade, e, não suficiente, não é atividade-fim, mas premissa. Esta pesquisa faz uma análise temporal da eficiência relativa de 93 departamentos acadêmicos da UFRGS entre os anos de 1998 e 2007, empregando a técnica de modelagem matemática chamada análise envoltória de dados. Para tanto, o pesquisador utilizou como indicadores de avaliação três fatores de recurso e nove de produto, todos ligados uniformemente a ensino, pesquisa e extensão. Não obstante, a pesquisa ainda estabelece uma relação entre os resultados obtidos no modelo replicado com o modelo hoje adotado pela Universidade para estabelecer um critério justo e igualitário de distribuição das vagas docentes: o índice departamental, instituído em 2001. O trabalho está amparado por ampla pesquisa bibliográfica a respeito de avaliação de instituições de ensino e a técnica de modelagem DEA, passando ainda por diversos estudos que abordam esses modelos. Através de método quantitativo na análise dos dados e qualitativo na validação, o autor apresenta os resultados obtidos. Entre os pontos que cabem destaque, a dissertação de Bandeira (2000), serviu como norteadora do início das atividades do modelo DEA que, passados onze anos, revelou-se progressivamente atual. Por fim, a presente pesquisa confirmou que o modelo aplicado por Bandeira em 2000 merece atualizações, mas preserva indicadores que são próprios aos departamentos. Além disso, as análises em três aninhamentos distintos provou a continuação de certa homogeneidade na eficiência relativa dos 93 departamentos. / To evaluate the universities is not new, but differently from what people think is not activityend, but the premise for quality of services. This research is a temporal analysis of the relative efficiency of ninety-three academic departments of UFRGS between the years 1998 and 2007, using the mathematical modeling technique called data envelopment analysis. For this, the researcher used as indicators to assess three factors and nine feature product, all uniformly connected in teaching, research and extension. Nevertheless, the survey also establishes a relationship between the results obtained in the model replicated and in the model now adopted by the University to establish a fair and equitable criteria for distribution of teaching jobs: the index department, established in 2001. The work is supported by extensive research literature on evaluation of educational institutions and DEA modeling technique, passing by several further studies on these models. Through quantitative method in qualitative data analysis and validation, the author presents the results obtained. Among the prominent points that fit the dissertation of Bandeira (2000), served as the guideline for the inauguration of the DEA model that, after eleven years, has proved increasingly current. Finally, this research confirmed that the model used by Bandeira in 2000 deserves updates, but preserves indicators that are specific to departments. Moreover, the analysis into three distinct nesting proved the continuation of homogeneity in the relative efficiency of ninetythree departments.

Over the last two decades there has been heightened interest in redefining faculty scholarship in higher education (Boyer, 1990). Trends have included the development of cultural frameworks for understanding how disciplines and institutions influence faculty work and how socialization processes impact academic career development. Despite the fact that the number of occupational therapy practitioners who have pursued doctoral training in pursuit of an academic career has failed to keep up with the need for qualified faculty, academic interest in developing disciplinary scholars to build the knowledge base of professional practice has been slow to develop. Furthermore, leadership interest in guiding the development of future faculty by studying how current occupational therapy faculty members are developing as scholars has been limited (AOTA, 2003). The purpose of this study was to develop a framework for describing scholarship in occupational therapy faculty members. A theoretically grounded case study design guided the selection of two occupational therapy departments, representing both a research university and a master’s college. Narrative data from occupational therapy faculty members in these institutions provided in-depth perceptions of how faculty members in diverse institutional settings develop a professional identity. Rich understandings of how clinical and academic socialization processes converge as faculty members in academic departments integrate competing influences from the academic culture, the institutional culture, and the professional culture to prioritize faculty work roles. The study revealed that although occupational therapy departments are succeeding within their institutional contexts, personal faculty priorities as clinicianteachers and institutional missions that create an imbalance in roles that favor teaching, continue to disadvantage certain faculty sub-cultures from evolving as disciplinary scholars. The implications of the failure of occupational therapy faculty members to adapt the researcher role as part of a professional identity include barriers to the development of disciplinary knowledge to support practice, and to the development of successful faculty careers that can be advanced in any institutional environment. The study identified a critical role for program leadership to act as change agents within departmental cultures to balance the need for productive disciplinary scholars, as well as effective clinician-teachers.

No description available.