e-learning system, LMS system, evaluation, expert system, ongoing activities

The article deals with an expert system for student evaluation based on ongoing activity in the LMS system. E-learning and LMS systems contain a large number of different options for continuous assessment of student activity (progress tests, assignments, tasks, etc.). These activities are typically evaluated with the appropriate number of points, and the summary of all activities and their results is then the basis for the final evaluation of the student. However, the e-learning teacher must also include in the evaluation other aspects: the student's ongoing activity outside the e-learning system, late submission of assignments or tests, etc. We propose an expert system that, based on various input parameters, will be used to propose a suitable evaluation of the student. Based on these parameters, the expert system proposes the final evaluation of the student, and the teacher can then, taking into account this recommendation, give the final evaluation to the student. The knowledge base of the expert system contains a set of IF-THEN rules. The expert system is created using a special inference method called Perception-based Logical Deduction (PbLD) and a defuzzification method called DEE (Defuzzification of Evaluative Expressions).