A Visual Analytics Approach Applying for Discovering Knowledge from Multivariate Datasets of Stakeholders Feedback in the University

Abstract

In accrediting training quality, assessing the educational quality of a university is an extremely important task to affirm the prestige of the university to the society. Areas of assessment include training program, teaching and learning activities, capacity of graduate student, and the reputation of the university in society. This research studies the characteristics of the survey dataset structures to form data variables and analyzes the relations between data variables to build non-spatial and temporal multidimensional model (nSTM), applies the establishment of visual graphs according to the data variables representing the datasets with vertical bars indicating the values of the data variables being visually represented. This research conducts experiments on the dataset structures surveying the areas of a university. With this scientific approach, it will help university administrators to build policies to improve in all aspects and especially improve the quality of university education.

Keywords

• Educational data mining
• educational quality assessment
• dataset structures
• quality of university education
• non-spatial and temporal multidimensional model
• nSTM