Educational Data Mining-Based Decision Support System
Keywords:
Educational Data, Mining-Based, Decision Support SystemAbstract
Higher Education Institutions (HEIs) are overwhelmed with huge amounts of information with regard to student’s enrolment, number of completed courses, course achievement, performance indicators, and other data. This has led to an increasingly complex analysis process of the growing volume of data and to the incapability to take decisions regarding the curricula reform and reconstructing. To address the problems above the study developed a decision-support system, a workable system that could be manipulated to produce designed data. This study utilized developmental research design sign it involved software development. This designed is suited to the research at hand because it developed an educational data mining-based decision support system based on the educational data requirements as to curriculum programs, subject offered in the curriculum, faculty handling the subjects, academic program schedule, and schedule. It was followed by analyses, development of the system and evaluation of the system. The educational data requirements for the developed decision-support system as to curriculum programs are the students’ list per course or subject, students’ grade, top 10 class standing, class program, teacher’s program and schedules. For the subjects offered in the curriculum, the data required are the units, teachers, and numbers of students. The data available in Higher Education Institutions helped in a decision making especially if these data are utilized. The developed Educational Data Mining-Based Decision Support System are capable of providing decisions to teachers and administrators especially on the students’ performance. This study recommends to validate the system to other schools. The data input is one of the contributory elements that affects the equality attribute of the Educational Data Mining-Based Decision-Making Support System, thus it is a necessary requirement that should be complied in the future.
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