1,282 research outputs found

    Principal self-efficacy in the implementation of a standards based teacher evaluation reform.

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    States across the country are adopting new methods of determining teacher effectiveness. A method that has increased in popularity is the use of standards based teacher evaluation (SBTE). These systems are typically created by state legislation and approved for the scope of work associated with a state’s Race to the Top (RTTT) application and federally approved Elementary and Secondary Education Act (ESEA) waiver application. The evaluation of teachers now relies on two key components—an administrator’s rating of teacher performance and a rating of student academic growth. The enactment and implementation of teacher evaluation laws have changed the way administrators evaluate classroom instruction and are in direct contrast to previous evaluation systems in terms of format, timelines, measures, and opportunity costs incurred. One major concern is that although the method of evaluating teachers has changed, internal school infrastructures have not. Using Tschannen-Moran and Gareis (2004) measure of self-efficacy, this study will utilize multiple regression in order to determine how efficacious principals are with the implementation of a SBTE system and examine the relationship between school-related factors, principal characteristics, and principal efficacy in implementing SBTE. The results of this study have implications for the implementation of future reform efforts. Furthermore, it advances the existing literature on principal self-efficacy and teacher evaluation

    TOPIC MODELLING METHODOLOGY: ITS USE IN INFORMATION SYSTEMS AND OTHER MANAGERIAL DISCIPLINES

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    Over the last decade, quantitative text mining approaches to content analysis have gained increasing traction within information systems research, and related fields, such as business administration. Recently, topic models, which are supposed to provide their user with an overview of themes being dis-cussed in documents, have gained popularity. However, while convenient tools for the creation of this model class exist, the evaluation of topic models poses significant challenges to their users. In this research, we investigate how questions of model validity and trustworthiness of presented analyses are addressed across disciplines. We accomplish this by providing a structured review of methodological approaches across the Financial Times 50 journal ranking. We identify 59 methodological research papers, 24 implementations of topic models, as well as 33 research papers using topic models in In-formation Systems (IS) research, and 29 papers using such models in other managerial disciplines. Results indicate a need for model implementations usable by a wider audience, as well as the need for more implementations of model validation techniques, and the need for a discussion about the theoretical foundations of topic modelling based research

    Analysis of a two-scale system for gas-liquid reactions with non-linear Henry-type transfer

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    In this paper, we consider a coupled two-scale nonlinear reaction-diffusion system modelling gas-liquid reactions. The novel feature of the model is the nonlinear transmission condition between the microscopic and macroscopic concentrations, given by a nonlinear Henry-type transfer function. The solution is approximated by using a Galerkin method adapted to the multiscale form of the system. This approach leads to existence and uniqueness of the solution, and can also be used for numerical computations for a larger class of nonlinear multiscale problems

    A multiscale Galerkin approach for a class of nonlinear coupled reaction–diffusion systems in complex media

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    AbstractA Galerkin approach for a class of multiscale reaction–diffusion systems with nonlinear coupling between the microscopic and macroscopic variables is presented. This type of models are obtained e.g. by upscaling of processes in chemical engineering (particularly in catalysis), biochemistry, or geochemistry. Exploiting the special structure of the models, the functions spaces used for the approximation of the solution are chosen as tensor products of spaces on the macroscopic domain and on the standard cell associated to the microstructure. Uniform estimates for the finite dimensional approximations are proven. Based on these estimates, the convergence of the approximating sequence is shown. This approach can be used as a basis for the numerical computation of the solution
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