SELECTING SUITABLE STUDENTS FOR JOB BASED ON THEIR CAPACITY

Nowadays, digital transformation in education is an important and urgent task in most of universities. This process brings many benefits to both teacher and student, particularly job for a graduate. Consequently, how to help a last-year student has a suitable job becomes a crucial problem. To advise learner to select a suitable job, we need an insightful analysis of learner’s capacity. Thus, in this paper, we propose a method which uses student’s knowledge and skills data to choose the best suitable students for a job requirement. Firstly, learner’s capacity is evaluated by subject marks and activities in school, therefore, both subject and activity are described as the structure of obtainable skills and knowledge. Then, we also describe a job requirement as a set of skills and knowledge. In the next step, we calculate the real capacity of the student. Finally, we find students who have the real capacity meet the job requirement by applying decision making model.