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

Abstract

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. Keywords: Academic achievement; Regression; Multiple regression.

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Document Details

Document Type
Technical Report
Publication Date
Mar 27, 1986
Accession Number
ADA168724

Entities

People

  • R. T. Sirmen

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • C4I
  • Human Systems

DTIC Thesaurus Topics

  • Analysis Of Variance
  • Computer Programs
  • Computers
  • Correlation Analysis
  • Data Science
  • Databases
  • Information Processing
  • Information Science
  • Instructors
  • Knowledge Management
  • Language
  • Models
  • Personality
  • Regression Analysis
  • Schools
  • Statistical Analysis
  • Students

Fields of Study

  • Education

Readers

  • Computational Modeling and Simulation
  • Military Leadership and Professional Education.