Occupation recommendation based on student achievement mining in vocational skill training

Vocational skill training aims to teach students more knowledge and skills from professional knowledge, general knowledge, practice skill, and behavioral capacity, and plays an important role for the students to obtain employment. In this paper, we propose a practical and effective approach, in which we first analyze the correlation between students´ achievement with their employment situation (i.e. whether they have obtained an employment) according history data. For the data of students obtained employment, we further discover association rules from students´ achievement and concrete occupations by data mining. Moreover, for a new or not obtained employment student, we recommend appropriate occupation for him (her) based on above association rules. Experimental results from a real dataset show the feasibility and effectiveness of our approach.