Automatic Course Difficulty Evaluator for Tesys E-learning Platform
Paul Stefan Popescu, Marian Cristian Mihescu, Mihai Mocanu, Dumitru Dan Burdescu Department of Computers and Information Technology University of Craiova Romania
Abstract: The interaction between students and professors represents an important issue for many online educational systems. This paper presents a system designed to ensure the adaptability of the professors to the students’ needs. The system is designed for both students and professors that are using Tesys e-Learning platforms to perform their activities. In this paper, we aim to model the interplay between course difficulty and students’ overall knowledge level in the educational process. In our approach, the system analyzes both courses and enrolled students and offers evaluations regarding the course difficulty level. Our system evaluates the overall difficulty level based on the students’ tests and exam results from past years. Evaluations
are offered to professors when there is a gap between course level and student’s knowledge level. The pool of educational assets consists of course chapters, tests, homework, link, and exam; they are hardy used within the evaluation process as raw data.
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