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Few studies in K-12 education have investigated the impact of changing schools during the academic year, or within-year transitions, on student motivation and achievement. Yet, many students face this type of transition, including children from low-income families living in urban areas, students from migrant worker and military families, and students with chronic behavioral problems. The evidence that does exist suggests that when students move between schools during the academic year, they may struggle with academic learning, behavior in school, and social interactions. This chapter approaches within-year academic transitions as a developmental context for student motivation. Drawing upon general systems theories and a specific theory of motivational development, the within-year transition is presented as an environmental demand that may lead to changes in student motivation and shifts in classroom actions, such as engagement. Continuity of subject learning and the formation of relationships are discussed as two challenges to student adjustment over the transition period. Student social and personal resources during the transition period are important factors in determining how a student adapts to a new school in the face of these challenges. Several methodological hurdles and possible approaches to conducting research in this area are discussed, as well as topics in need of additional research in this empirically overlooked area. The chapter concludes with suggestions drawn from the research literature as to how districts, schools, and classroom teachers can help support students transitioning between schools within the academic year.

This paper aims to describe a CAD tool of permanent magnet electric machines. The software tool is operational from the first design phases and allows to study coupled phenomena.

The described design methodology is based on the association of analytical and numerical approaches. A coupled electromagnetic‐thermal model is used for the analytical study. The numerical one uses the finite element method.

The sequential implementation of the two approaches highlights their complementarities and improves the time consuming and the reliability of the design process. The thermal coupling allows to anticipate the overheating of the machine and to take it into account in the design process.

The simplifying assumptions made in the analytical model degrade the accuracy of temperature calculation.

This is a useful tool for electric machines manufacturer planning to obtain a fast and reliable solution in response to datasheet specifications.

This paper describes a multidisciplinary design methodology which is performed by coupling methods and software tools at the aim to take advantage of each one.

Introduces papers from this area of expertise from the ISEF 1999 Proceedings. States the goal herein is one of identifying devices or systems able to provide prescribed performance. Notes that 18 papers from the Symposium are grouped in the area of automated optimal design. Describes the main challenges that condition computational electromagnetism’s future development. Concludes by itemizing the range of applications from small activators to optimization of induction heating systems in this third chapter.

Design-based research (DBR) involves multiple iterations, and innovations are needed in analytical methods for understanding how learners experience a learning experience in ways that both embrace the complexity of learning and allow for data-driven changes to the design of the learning experience between iterations. The purpose of this paper is to propose a method of crafting design moves in DBR using network analysis.

This paper introduces learning experience network analysis (LENA) to allow researchers to investigate the multiple interdependencies between aspects of learner experiences, and to craft design moves that leverage the relationships between struggles, what worked and experiences aligned with principles from theory.

The use of network analysis is a promising method of crafting data-driven design changes between iterations in DBR. The LENA process developed by the authors may serve as inspiration for other researchers to develop even more powerful methodological innovations.

LENA may provide design-based researchers with a new approach to analyzing learner experiences and crafting data-driven design moves in a way that honors the complexity of learning.

LENA may provide novice design-based researchers with a structured and easy-to-use method of crafting design moves informed by patterns emergent in the data.

To the best of the authors’ knowledge, this paper is the first to propose a method for using network analysis of qualitative learning experience data for DBR.

The purpose of this paper is to perform an optimal design of a single-phase permanent magnet brushless DC motor (SPBLDCM) by using efficiency of the motor as an objective function. In the design procedure of the motor, a cuckoo search (CS) algorithm is used as an optimization tool.

For the purpose of this research work, a computer program for optimal design of electrical machines based on the CS optimization has been developed. Based on the design characteristics of SPBLDCM, some of the motor parameters are chosen to be constant and others variable. A comparative analysis of the initial motor model and the CS model based on the value of the objective function, as well as the values of the optimization parameters, is performed and presented.

Based on the comparative data analysis of both motor models, it can be concluded that the main objective of the optimization is realized, and it is achieved by an improvement of the efficiency of the motor.

The optimal design approach of SPBLDCM presented in this research work can be also implemented on other electrical machines and devices using the same or even other objective functions.

An optimization technique using CS as an optimization tool has been developed and applied in the design procedure of SPBLDCM. According to the results, it can be concluded that the CS algorithm is a suitable tool for design optimization of SPBLDCM and electromagnetic devices in general. The quality of the CS model has been proved through the data analysis of the initial and optimized solution. The quality of the CS solution has been also proved by comparative analysis of the two motor models using FEM as a performance analysis tool.

This paper presents a model for the simulation of dynamic behaviours of a coupled magneto‐mechanical system. The magnetic equation is solved with the help of the finite element method. The local magnetic material saturation is considered. The moving band technique is used for accounting the movement. The magnetic torque of permanent magnet synchronous machine is calculated from the field solution according to virtual work principle and then introduced in the mechanical motion equation to calculate the shaft position. The complete differential equation system is solved with an iterative procedure.

This study unpacks the relationship between employees' perceptions of organizational politics and their helping behavior, by explicating a mediating role of employees' affective commitment and moderating roles of their tenacity and passion for work.

Quantitative survey data were collected from 476 employees, through Amazon Mechanical Turk.

Beliefs that the organizational climate is predicated on self-serving behaviors diminish helping behaviors, and this effect arises because employees become less emotionally attached to their organization. This mediating role of affective commitment is less salient to the extent that employees persevere in the face of challenges and feel passionate about working hard.

For human resource managers, this study pinpoints a lack of positive organization-oriented energy as a key mechanism by which perceptions about a negative political climate steer employees away from assisting organizational colleagues on a voluntary basis. They can contain this mechanism by ensuring that employees are equipped with energy-boosting personal resources.

This study addresses employees' highly salient emotional reactions to organizational politics and pinpoints the critical function of affective commitment for explaining the escalation of perceived organizational politics into diminished helping behavior. It also identifies buffering effects linked to two pertinent personal resources.

Lean-inspired approaches and performance management systems are being implemented in public healthcare organisations internationally. However, the literature is inconclusive regarding the benefits of these management tools and there is a lack of knowledge regarding processes for large-scale implementation of these tools. This article aims to describe the implementation process and to better understand how this process influences the mandated performance management system.

This research is based on a comparative case study of three healthcare organisations in Canada. Data consist documents, non-participant observation and semi-structured interviews with key actors (n = 30). Analysis is based on a sociotechnical approach to management tools that considers organisational context, and the tool's technical substrate, theory of action and managerial philosophy.

Results show that despite a standardised national mandate, the tool as implemented varied between organisations in terms of technical substrate and managerial philosophy. These variations are explained by the flexibility of the technical substrate, the lack of clarity of the managerial philosophy, and some contextual elements. Successful implementation may rest upon high hybridization of the tool on these different dimensions. A precise and prescribed technical substrate is not sufficient to guarantee implementation of a managerial philosophy.

Mandated implementation of management tools may be more successful if it is explicit on the managerial philosophy, the technical substrate and the link between the two, and if it provides some leeway to adapt both to the organisational context.

This is one of the few studies to describe and analyse the process involved in mandated large-scale implementation of performance management systems in public healthcare organisations.

The purpose of this paper is to investigate the impact of transformational leadership on employee turnover intention through the mediating role of affective commitment.

The study examines conceptual relationships in the Ghanaian context, based on structural equation modelling with maximum likelihood estimation, using sample employees from the private sector organizations. In addition, the mediation analysis is conducted with Sobel’s test and 95 per cent CI bootstrap analysis.

The study shows that affective commitment would decline workers’ quitting intention and serves to promote a degree of trust and willingness to follow their leaders’ philosophy, ideology, vision and guidance in the organization. Hence, affective commitment fully mediates the relationship between transformational leadership and employee turnover intention.

To help lessen employees quitting intentions, both middle and top-level managers should endeavour to create an atmosphere of trust, admiration, loyalty and respect for their employees.

Overall it is shown that affective commitment was the mechanism through which transformational leadership influences employees’ turnover intentions in the SLCs in Ghana.