<span>Nowadays, educational data have been increased rapidly because of the online services provided for both students and staff. University of Kufa (UoK) generates a massive amount of data annually due to the use of e-learning web-based systems, network servers, Windows applications, and Students Information System (SIS).  This data is wasted as traditional management software are not capable to analysis it. As a result, the Big Educational Data concept rises to help education sectors by providing new e-learning methods, allowing to meet individual demands and reach the learners' goals, and supporting the students and teacher’s interaction. This paper focuses on designing Big Data analysis architecture, based on the Hadoop in the UoK and the same case for other Iraqi universities. The impact of this work, help the students learn, emphasizing the need of academic researchers and data science specialist for learning and practicing Big Data analytics and support the analysis of the e-learning management system and set the first step toward developing data repository and data policy in UoK.</span>

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The Iraqi education sector has faced obstacles for decades due to the multiple past crises, and recently social tensions and political demonstrations that led to students' reluctance to join the university in late 2019. These problems are applying even more pressure on the fragile education system and affecting education access. Therefore, the urgent need for electronic learning (Elearning) has emerged, putting the situation of the current education system and telecommunication infrastructure in a real challenge. In this research, the internet signal of the University of Kufa (UoK) was monitored for five months during the quarantine to study the effect of the productivity and availability of the Internet on e-learning at the university. However, this paper focused on and studied three main dimensions: Students and Faculty, Educational Platforms, and Information Technology Services, to identify and evaluate the primary factors that directly affect e-learning. The study also presented the current status and penetration rate of the Internet in Iraq and presented an analysis of a questionnaire targeting the level of technology acceptance and lecture specifications for the e-learning experience at UoK.

In most printing factories, the stitching machine is considered as a significant tool in accomplishing the printing process cycle, such as in the Printing House of the University of Kufa (PHUK), complete their jobs using a cheap manual machine, and thus this leads to an increase in the number of employees and work hours. That is because the automated stitching machine of production is very costly. A decent printing house design maximizes production with a minimum investment in new equipment parts. However, a decent PHUK layout alone cannot reach the intended aims unless firmly linked with a developed production line of an automated stitching machine for the purpose of reducing cost, time, and efforts. This article focused on designing and developing automatic saddle stitching machines for folded paper sheet products such as newspapers, magazines, catalogs, exam sheets, etc. using accommodate devices such as Arduino and infrared sensors. Furthermore, the proposed design is applied in PHUK successfully and it showed that the cost of the stitching machine and the manpower is reduced by 60 percent, also the time is reduced by 70 percent. Finally, one of the significant implications of this work is using IT in management of resources.