Abstract
Tertiary institutions (e.g., Universities, Polytechnics and Colleges of Education) are expected to manage and preserve data of both present and past students. These data include general information about students as well as examination results at any or all stages of studentship. Analysis of student data can be used to inform solutions to a wide variety of educational challenges like exploring group differences, gender representation, ethnic representation, and growth over time. However, data management and examination result computation of large population of students can be rigorous time-consuming and prone to errors. Information management technology offers a comprehensive portfolio of students’ academic record to be available in real-time to students and professionals. That a comprehensive solution for use in many tertiary institutions is not yet common presents a unique opportunity for researchers to help shape the future of this technology. We introduce a Fortran algorithm for Data Analysis and Result Computation (DARC). The algorithm analyzes student data as well as computes examination results of all students in a department at once. DARC reads particular spreadsheet formats of students’ information data, semester scores and previous academic records, after which it outputs, among others, analysis of students information, comprehensive result format for students showing grade point averages(GPA) and updated cumulative grade point averages (CGPA), summary of academic records including log of carry over courses, log of carry over courses that have been cleared, log of outstanding courses and log of outstanding courses that have been cleared. Using synthetic record of some students, we validate the reliability of the algorithm by conducting accuracy tests. The algorithm is flexible and can be suitably modified to manage and preserve academic and general records of both present and past students in any tertiary institution.
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