The ability to predict students' academic performance is critical for any educational institution that aims to improve their students' learning process and achievement. Although students' performance prediction problem is studied widely, it still represents a challenge and complex issue for educational institutions due to the different features that affect students learning process and achievement in courses. Moreover, the utilization of web-based learning systems in education provides opportunities to study how students learning and what learning behavior leading them to success. The main objective of this research was to investigate the impact of assessment grades and online activity data in the Learning Management System (LMS) on students' academic performance. Based on one of the commonly used data mining techniques for prediction, called classification. Five classification algorithms were applied that decision tree, random forest, sequential minimal optimization, multilayer perceptron, and logistic regression. Experimental results revealed that assessment grades are the most important features affecting students' academic performance. Moreover, prediction models that included assessment grades alone or in combination with activity data perform better than models based on activity data alone. Also, random forest algorithm performs well for predicting student a cademic performance, followed by decision tree.
In this paper, we discuss the concept and principles of successful the total quality management (TQM) implementation. The paper briefly explains the similarities between software development process and product development process. In addition, overview quality measures during the software development life cycle (SDLC). Finally, the paper describes the Deming's quality management method and his fourteen points to implement TQM. The paper discusses how to apply Deming's method in software development process and provides recommendations to ensuring success during TQM implementation.
Responding to disasters and crises is a crucial role for the government to ensure the public safety of society. Responding lies in the counter of crimes of civil or disorders, providing the urgent medical care to injured or sick people, and providing relief of natural and manmade disasters. Despite ongoing attempts to improve emergency response systems in Jeddah, Saudi Arabia, it still suffers from vulnerability. With the current development of the technology and internet of things (IoT), it became necessary to apply these techniques for improving emergency response systems in Jeddah. In this paper, we present Jeddah Smart Emergency Response System (JSERS) as a solution to improve the emergency response system in Jeddah using smart city technologiesز First, we discussed the problems related to the response to accidents and disasters and their history in the Kingdom of Saudi Arabia, especially Jeddah. Consequently, we described the proposed solution, followed by the architecture of the system. Following by the opportunities and the challenges of system implementation are discussed. Finally, a list of suggestions that supports this system implementation and deployment is reported.
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