Applying artificial intelligence to the educational data: an example of syllabus quality analysis

Developing new courses and updating existing ones are routine activities for an educator. The quality of a new or updated course depends on the course structure as well as its individual elements. The syllabus defines the structure and the details of the course, thus contributing to the overall quality of the course. This research proposes a new AI based framework to manage the quality of the syllabus. We apply AI methods to automatically evaluate a syllabus on the basis of such characteristics as validity, usability, and efficiency. We provide user trials to show the advantages of the developed approach against the traditional human-based process of syllabi verification and evaluation.