Research on Accurate Learning Evaluation for College Students Based on Big Data Technology

In this paper, we propose a novel strategy to accurately evaluate learning status and development potentiality for colleges students based on big data modeling and mining. Firstly, we propose an effective method to calculate students ability achievement based on the big data mining technology via three steps. In step 1, we construct the student ability achievement evaluation system, which reflects the “output-oriented concept”. In step 2, we model the educational big data, which embodies the “continuous improvement concept”. In step 3, we compute students ability achievement based on educational big data mining, which embodies the “student-centered concept”. Secondly, we discuss how to accurately evaluate college students learning status and development potentiality based on the ability achievements. Finally, we conduct a series of experiments to demonstrate the effectiveness of the proposed solution. Experimental results demonstrate that the proposed solution can effectively evaluate learning status and development potentiality, moreover, the proposed solution can recommend suitable courses and career plannings for college students.