International Journal of Technology Enhancements and Emerging Engineering Research (ISSN 2347-4289)

IJTEEE >> Volume 2 - Issue 8, August 2014 Edition

International Journal of Technology Enhancements and Emerging Engineering Research  
International Journal of Technology Enhancements and Emerging Engineering Research

Website: http://www.ijteee.org

ISSN 2347-4289

Students Record Analysis And Examination Result Computation Algorithm (SRAERCA)

[Full Text]



Abel U. Osagie, Abu Mallam



Keywords: Algorithm, Student Data Analysis, Academic RecordAnalysis, Transcript,Fast, Resilient.



ABSTRACT: There are different computer programs in different tertiary institutionsforcomputingexamination results.However, beyond examination result computation, not many programs in use provide multi-level aggregated data of student population and academic progress at various stages of studentship. The need for data use to inform administrative decisions in tertiary institutions have been emphasized. Analysis of students' data and academic record can promote data-informed decisions for the purposes of better planning. The "Student Record Analysis andExamination Result Computation Algorithm"(SRAERCA) is a comprehensive solution for use in tertiary institutions. The algorithmincorporates the entire computational process related to a studentfrom admission to graduation and beyond. The algorithm is modified with the flexibility to accommodate future needs and eliminate delaysin examination result computation, preparation of examination result summaries and generation of academic transcripts. A test of resilience, accuracy and analytic capabilities of the algorithm produced expected results. The stages of computation are simple and fast. With a proper file naming system, the output files in all stages are arranged meticulously. The algorithm provides an array of output datasetthat satisfies the needs of the students themselves, the course instructor, the department, and the Faculty/College. The computational processes progressively catalogimportant statistics about student population and their academic performances to encourage data use and for future reference.Ultimately, the algorithm providesinformation and analysisfor data-informed decisions toward a more professional culture in tertiary institutions.



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