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1 – 10 of 130Terje Ogden, Mari-Anne Sørlie, Anne Arnesen and Wilhelm Meek-Hansen
This chapter provides an overview of a programme or rather a model used in Norwegian primary schools to meet the needs of children whose behaviour difficulties interrupt teaching…
Abstract
This chapter provides an overview of a programme or rather a model used in Norwegian primary schools to meet the needs of children whose behaviour difficulties interrupt teaching and learning. In this chapter we give an overview of the PALS model and also present the general outline of a longitudinal outcome study of the school model including some information about the participating schools, staff and students.
Patrick L. Hill, Rachel D. Best and M. Teresa Cardador
Personality research often has focused on how people change in response to the work environment, given that work constitutes a significant portion of the daily life of adults…
Abstract
Personality research often has focused on how people change in response to the work environment, given that work constitutes a significant portion of the daily life of adults. However, most research has failed to consider the effect of the work context on purpose in life. This omission is surprising given that purpose research involves several characteristics that align well with the occupational psychology and organizational behavior literatures. The current research considers how one feature of the work context, work stress, may (or may not) facilitate the purpose development process. We put forth a Purpose and Work Stress (PAWS) model which explains why understanding whether work stress is perceived as harmful or challenging to employees can provide significant insight into whether that occupation is aligned with the individual’s purpose in life. Furthermore, the model highlights that the ability to monitor and interpret work stress may help an individual identify and cultivate their purpose. Implications of the PAWS model are described, including how it may help us understanding the roles for retirement and job crafting on purpose.
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Frederick J. Brigham, John William McKenna, Carlos E. Lavin, Murat Koc, Lindsay Watkins and Michele M. Brigham
This chapter reviews recent research regarding behavior interventions for young children. We first consider the implications of allowing maladaptive behavior to remain untreated…
Abstract
This chapter reviews recent research regarding behavior interventions for young children. We first consider the implications of allowing maladaptive behavior to remain untreated in young children. The reasons that people may select for inaction are illustrated through a case example of an individual who manifested behavior problems that were allowed to continue through accommodations rather than being addressed through interventions. We then consider several examples of promising behavior interventions for very young children that can be carried out in home and preschool environments. Next, we review promising interventions that are appropriate for school-based settings. We conclude with the observation that while it is absolutely necessary to deal with urgent situations evoked by maladaptive behavior, it is critical to keep sight of the goal that we should always work to promote more mature, self-regulated, and acceptable behaviors across settings.
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Aminah Robinson Fayek and Rodolfo Lourenzutti
Construction is a highly dynamic environment with numerous interacting factors that affect construction processes and decisions. Uncertainty is inherent in most aspects of…
Abstract
Construction is a highly dynamic environment with numerous interacting factors that affect construction processes and decisions. Uncertainty is inherent in most aspects of construction engineering and management, and traditionally, it has been treated as a random phenomenon. However, there are many types of uncertainty that are not naturally modelled by probability theory, such as subjectivity, ambiguity and vagueness. Fuzzy logic provides an approach for handling such uncertainties. However, fuzzy logic alone has some limitations, including its inability to learn from data and its extensive reliance on expert knowledge. To address these limitations, fuzzy logic has been combined with other techniques to create fuzzy hybrid techniques, which have helped solve complex problems in construction. In this chapter, a background on fuzzy logic in the context of construction engineering and management applications is presented. The chapter provides an introduction to uncertainty in construction and illustrates how fuzzy logic can improve construction modelling and decision-making. The role of fuzzy logic in representing uncertainty is contrasted with that of probability theory. Introductory material is presented on key definitions, properties and methods of fuzzy logic, including the definition and representation of fuzzy sets and membership functions, basic operations on fuzzy sets, fuzzy relations and compositions, defuzzification methods, entropy for fuzzy sets, fuzzy numbers, methods for the specification of membership functions and fuzzy rule-based systems. Finally, a discussion on the need for fuzzy hybrid modelling in construction applications is presented, and future research directions are proposed.
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