| Popis: |
For three participants of the educational process - employers hiring a young specialist - a university graduate, for the graduate himself, and for a higher educational institution, it is important to obtain the most reliable assessment of the young specialist. Such an assessment can be obtained from a more extended, comprehensive assessment of the student, and such an assessment should go far beyond the existing assessments, which consist of a limited number of information. The reason for this is that the existing graduate assessment consists of a list of grades by discipline (from the diploma supplement), a student’s portfolio, a testimonial or recommendation (if any), and a job interview. This does not give a full-fledged characterization of the graduate. The presented studies use a specially designed student assessment system. The data for such a system is taken in the classroom, especially in laboratory and practical lessons. It is taken into account whether the student is distracted during the lesson by extraneous matters, is he distracted by phone calls and social networks, is he systematically late and so on. A mathematical model was developed, embodied in an information system based on an artificial neural network. As a result of the assessment, the student’s ratings are how much the student corresponds to the grades: “professional student”, “student-scientist”, “student - social worker”, “bad student - good social activist”, “neat person”, “mature, reasonable, responsible person”. Technological base used: MS Excel, C++ language, Access DBMS. The system was tested over several academic semesters and proved to be operational #COMESYSO1120. |
