Public construction projects in countries with economic difficulties are funded by donor organizations. These types of projects in low-income countries have been negatively influenced by the communication gap between the among, consultant and the construction contractor, which emerges because of unclear definitions of responsibilities and problems in exchange of information. All stakeholders face significant problems as a result of this gap. The main objective of this paper is to identify and map the processes of donor-funded construction projects to facilitate clear definition of tasks and roles, and support sustainable communication in donor-funded projects. Following a literature review, the paper provides an analysis of the current processes in donor-funded projects and presents a process map for donor funded projects which is developed based on expert interviews and five case studies. Finally, the process map is validated by a set of semi-structured interviews.

Interpretation of the behaviors of students in elearning platforms with machine learning models has become an emerging need in recent years. Increase in the number of registered students on e-learning platforms is one of the reasons for choosing machine learning models. Tracking, modeling and understanding student activities gets more complex when the number of students is increased. This study is focusing modeling student activities on e-learning platforms with Complex Event Processing (CEP), Association Rule Mining (ARM) and Clustering methods based on distributed software architecture. Within the scope of this study, different modules that work real-time have been developed. An admin panel has been also developed in order to control all modules and track the student actions. Performance results of modules also obtained and evaluated on distributed system architecture.

İstatistik araçları sosyal bilimler araştırmalarında, araş-tırma kapsamında toplanılan verilerin analiz edilebilmesi için sıklıkla kullanılmaktır. Doğru ve geçerli bir analizin yapılabilmesi için araştırmacıların, istatistik yöntemlerine, bu yöntemlerin uygulanışına ve istatistiksel varsayımlara hâkim olmaları gerekmektedir. Bu çalışmada Sosyal bilimler araştırmacılarının, uygulamalı istatistikte hangi zorluklarla karşılaştıklarının ve istatistik yazılımlarında ne gibi eklentilere ihtiyaç duyduklarının tespit edilmesi hedeflenmektedir. Bu hedef doğrultusunda belirlenen kriterlere uygun katılımcılar ile betimsel bir çalışma yürütülmüş sonucunda da Teknoloji Algı Ölçeği ile katılımcıların istatistik paket programlarına karşı tutumları değerlendirilmiştir.

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