05-10-2016, 09:45 AM
1457774953-STUDENTMARKANALYSISSYSTEMab.docx (Size: 12.69 KB / Downloads: 5)
Abstract:
The project “ Student Mark Analysis System” processes the student university marks. The system will acquire details of student from the faculties and analyzes the obtained data then generates the reports like rankwise report, arrear report, gpa and cgpa calculation, student individual mark analysis.
The benefaction of this system goes to faculties than clients ,because the staff doesn’t require any validations, processing on marks of the student they just upload the marks of the candidates all other task is taken care by the system and also the candidates doesn’t need to go anywhere to know their results.
Educators often monitor students' performance in class to make students aware of their weaknesses.Analysis on the relationship between educational settings and student performance can be useful in predicting student performance in a class. In addition, this analysis is able to help identifying the key indicators that may affect the students' final grade. In this paper, we present the initial work on the development of a predictive model that can predict student performance in a class to assist lecturers in improving student's learning process. We identified the predictor variables that can be used in our predictive model. The predictor variables of this model are based on attributes from different educational settings such as coursework marks, psychosocial factors and Course Management System (CMS) log data. These variables are collected from an advanced programming course in an institute of higher learning in Malaysia. This study provides a theoretical model that shows how data from different educational settings can contribute in the prediction of student's final grade. The results indicate that coursework marks has the most significant positive relationship with the student's final grade followed by total number of materials downloaded from CMS.