IDENTIFICATION OF IMPORTANT ACTIVITIES FOR TEACHING PROGRAMMING LANGUAGES BY DECISION TREES

Juraj Obonya

Abstract


Data analysis of the outputs from information systems is the base of making the right managerial decisions. Nowadays e-learning is supported by information systems like LMS (Learning Management System). These systems are intended for students monitoring, because with them we can track the partial perform of activities during the semester. These systems are intended
for tracking of students, as we can monitor the rate of the fulfilment of the partially set activities during the education process. In our article we are focusing on data analysis from a specific LMS system, where we created a programming course for students, which was filled with submissions and testing activities, within which we extracted the dataset about the fulfilment and evaluation of each particular activity. These specific activities are part of the content of the programming course. By the decision trees we extracted a set of rules, with which we can classify specific activities, which have strong effort on the student’s final assessment.



Back to list of accepted papers