国立情報学研究所で電子化したコンテンツを使用している。

This study explored how rule systems evolved in two high school social studies classes. To accomplish this, detailed descriptions and analysis of the practices and processes by which teachers established and maintained rules were conducted in two classrooms over a nine-week observational timeline. In addition, the teachers were interviewed at the beginning, middle, and end of the observation period to gain insight into how they thought about their classes and reacted to the daily experiences they were having in these settings. Findings indicated that the teachers utilized the same enactment practices to uphold their management and rule systems, however, each operationalized these practices in dissimilar ways. This was largely due to the fact that the teachers' goal structures and beliefs about the function of management and classroom rules affected their implementation practices. Both set similar goals for managing the classroom and fostering self-discipline and student responsibility, yet each experienced problems attempting to balance student affordances for responsibility with teacher surveillance and interventions. One system thrived on explicitness and enforcement, while the other was dedicated to helping students develop autonomous morality. In reaction, both teachers had mixed feelings and/or satisfaction regarding the outcomes. This contrast was especially useful in demonstrating the inherent tensions in classroom systems that attempt to orchestrate students' personal responsibility. Such systems depend upon general norms and/or rules to guide student behavior. When students do not accept these norms, a teacher is constrained from imposing explicit rules and consequences because such practices take responsibility away from students and thus undermine the very system the teacher is attempting to implement. Overall, further research on this inherent tension is needed to better understand how teachers can orchestrate student responsibility in schools and classrooms.

Childhood obesity is a growing problem in the United States. Though a great body of research has focused on this area, little is still known about the factors that influence this phenomenon in rural settings. Sedentary behavior and parenting factors are just two factors that influence this trend toward obesity. However, even less is known about how the intersection of parenting influences affects child sedentary behaviors in rural communities. This study examines the relationship between parenting factors and child sedentary behaviors within the context of rurality. This study was completed in two parts. Part one consisted of a comprehensive review of the literature that provided background on the current practices and set the stage for the statistical analysis that followed. Part two included the statistical analysis, which focused on examining the relationships between parents’ TV and behavior rules, and child’s sedentary activity behaviors. Pearson correlation and Spearman’s rank were used to assess whether relationships existed between variables. Correlations between weekday and weekend activity and gender were not found to be significant. Also, relationships between rule enforcement and activity were not found to be significant. This study found a glaring gap in the literature that examines how parenting factors influence child sedentary behaviors in rural settings. Also, the statistical analysis revealed that parental rules have no associations with child sedentary activity, despite medium rates of enforcement.

Cloud computing has brought availability of services at unprecedented scales but data accessibility considerations become more complex due to involvement of multiple parties in providing the infrastructure. In this thesis, we discuss the problem of enabling cooperative data access in a multi-cloud environment where the data is owned and managed by multiple enterprises. We consider a multi-party collaboration scheme whereby a set of parties collectively decide accessibility to data from individual parties using different data models such as relational databases, and graph databases. In order to implement desired business services, parties need to share a selected portion of information with one another. We consider a model with a set of authorization rules over the joins of basic relations, and such rules are defined by these cooperating parties. The accessible information is constrained by these rules. Specifically, the following critical issues were examined: Combine rule enforcement and query planning and devise an algorithm which simultaneously checks for the enforceability of each rule and generation of minimum cost plan of its execution using a cost metric whenever the enforcement is possible; We also consider other forms of limiting the access to the shared data using safety properties and selection conditions. We proposed algorithms for both forms to remove any conflicts or violations between the limited accesses and model queries; Used graph databases with our authorization rules and query planning model to conduct similarity search between tuples, where we represent the relational database tuples as a graph with weighted edges, which enables queries involving "similarity" across the tuples. We proposed an algorithm to exploit the correlations between attributes to create virtual attributes that can be used to catch much of the data variance, and enhance the speed at which similarity search occurs; Proposed a framework for defining test functionalities their composition, and their access control. We discussed an algorithm to determine the realization of the given test via valid compositions of individual functionalities in a way to minimize the number of parties involved. The research significance resides in solving real-world issues that arise in using cloud services for enterprises After extensive evaluations, results revealed: collaborative data access model improves the security during cooperative data processes; systematic and efficient solving access rules conflict issues minimizes the possible data leakage; and, a systematic approach tackling control failure diagnosis helps reducing troubleshooting times and all that improve availability and resiliency. The study contributes to the knowledge, literature, and practice. This research opens up the space for further studies in various aspects of secure data cooperation in large-scale cyber and cyber-physical infrastructures. / Computer and Information Science

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