International Journal of Education and Social Science (IJESS)

At most American universities students complete an evaluation of instruction instrument at the end of each academic period. Although debate on validity and appropriateness of using students to evaluate professors and been intense and voluminous on both sides of the argument, the almost universal adoption of the instrument confirms its accepted value at most institutions. The rating instrument is administered by a central administration department and professors receive a static report of the results. Recent developments graph databases and open source R statistical programming language open opportunities for enhanced analysis of rating of results by end-users. This paper presents a methodology for transforming static reports that professors receive from a central administration department, into a graph database and from graph database to a dashboard that enables interactive analysis for scaled items and text mining for the open-ended questions.