Global attention to early childhood education (ECE) has led to an increased focus on ECE teacher training as a critical component of providing young children with access to high-quality ECE programs. In this paper, we ask how Tanzanian stakeholders at different levels of implementation experienced and responded to efforts to build capacity in pre-primary education (PPE) through the introduction of a new PPE diploma program. We examine how national and local stakeholders'responses to the policy were mediated by perceptions of early years teaching, economic realities, and the availability of human and material resources for PPE teacher training. We employ Weaver-Hightower's (2008) ecological approach to policy analysis to make sense of how these environments and structures intersected with the enactment of the PPE diploma program. Drawing on data from the first year of a longitudinal study that employs qualitative methodology to understand the experiences of PPE diploma students, we demonstrate how perceptions about PPE teaching, economic realities and the availability of human and material resources facilitate and constrain program implementation in ways that have implications for its success.

Fault analysis in communication networks and distributed systems is a difficult process that heavily depends on system administrator’s experience and supporting tools. This process usually requires analytic techniques and several types of event data including log events, debug messages, trace obtained from these systems to investigate the root cause of faults. This paper introduces an approach of exploiting context-aware data and classification technique for improving this process. This approach uses both event data and context-aware data including CPU load, memory, processes, temperature, status to train a decision tree, and then applies the tree to assess suspected events. We have implemented and experimented the approach on the OpenStack cloud computing system with the Hadoop computing service and MELA event collection system. The experimental results reveal that the accuracy score of the approach reaches 85% on average. The paper also includes detailed analysis for the results.