Menna Fateen

Kyushu University | Kyudai · Department of Advanced Information Technology

Student performance prediction continues to be a focus of research in educational data mining due to its many potential benefits. While teachers’ assessment reports are a crucial part of the educational process, they have not been commonly used in performance prediction. We propose a model that uses similarity learning as an embedding-enhancing tec...

Predicting students' performance is a highly discussed problem in educational data mining. A tool that can accurately give such predictions would serve as a valuable resource to teachers, students, and all educational stakeholders as it would provide essential insights. Students can be further guided and fostered to achieve their optimal learning g...

Studying for entrance examinations can be a distressing period for numerous students. Consequently, many students decide to attend cram schools to assist them in preparing for these exams. For such schools and for all educational institutes, it is necessary to obtain the best tools to provide the highest quality of learning and guidance. Performanc...