School's Performance Evaluation Based on Data Mining

Educational sector is significant in any society as it plays a crucial role for developing the nation. Educational evaluation determines the effectiveness of the learning process and it interests all educational stakeholders. Currently, one of the challenges that the Ministry of Education in Oman is facing is to evaluate the performance of the school; this problem can be addressed through the use of modern technologies, such as the use of data mining. This study proposes to employee data mining to link between the different performance indicators with a goal of getting complete and effective evaluation for any school. Several classification techniques were exploited to analyze school performance. The results demonstrate a high accuracy level

Predicting Academic Performance: A Systematic Literature Review

The ability to predict student performance in a course or program creates opportunities to improve educational outcomes. With effective performance prediction approaches, instructors can allocate resources and instruction more accurately. Research in this area seeks to identify features that can be used to make predictions, to identify algorithms that can improve predictions, and to quantify aspects of student performance. Moreover, research in predicting student performance seeks to determine interrelated features and to identify the underlying reasons why certain features work better than others. This working group report presents a systematic literature review of work in the area of predicting student performance. Our analysis shows a clearly increasing amount of research in this area, as well as an increasing variety of techniques used. At the same time, the review uncovered a number of issues with research quality that drives a need for the community to provide more detailed reporting of methods and results and to increase efforts to validate and replicate work.Peer reviewe