Selecting Suitable Students for Jobs Based on Their Capacity

Abstract

Nowadays, digital transformation in education is an important and urgent task in most universities. This process brings many benefits to both teacher and student, particularly jobs for graduates. Consequently, how to help a last-year student find a suitable job has become a crucial problem. To advise learner to select a suitable job, we need an insightful analysis of learner capacity. Thus, in this paper, the authors propose a method that uses student knowledge and skills data to choose the best suitable students for a job requirement. Firstly, learner 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, the authors also describe a job requirement as a set of skills and knowledge. In the next step, they calculate the real capacity of the student. Finally, they find students who have the real capacity to meet the job requirement by applying the decision-making model.