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Development of a Prototype Computerized Advising System for Student Academic Performance Prediction in Elective Courses

机译：选修课学生学业成绩预测原型计算机化咨询系统的开发

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This thesis pertains to the area of academic performance prediction. Using multiple regression techniques with graduated students' biographical, and academic date; four predictors were successfully discovered, and the prediction model was developed. Especially course content indicated by prerequisite courses, exhibited a strong relationship to elective courses' achievement. The second important predictor was native language. The findings of the research were also implemented through a prototype computerized system, called CAS (Computerized Advising System). This product of the study may be used to assist students in the selection of elective courses.

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