Using Natural Language Processing for Quality Assurance Purposes in Higher Education

Nowadays, quality is the most important attribute that creates value. It is considered as the competitive advantage of private and public organizations by which they differentiate their products or services. Quality assurance in higher education is concerned more than ever before. This paper presents a system intended to facilitate some aspects of the quality assurance process in the universities by helping both the quality assurance officers as well as lecturers. The system accepts as an input the learning outcomes of syllabuses and program curricula and based on some specific rules performs consistency checks between them, assuring that program delivers to students what it actually promises.