Portrait-Based Academic Performance Evaluation of College Students from the Perspective of Big Data

With the advent of big data era, significant changes have taken place in every aspect education. To effectively evaluate academic performance college students, this paper firstly establishes a scientific evaluation index system for student portrait. Taking course Object-Oriented Programming as an example, authors collected various on students. The were normalized, and weight each was determined through analytic hierarchy process (AHP). Next, fuzzy model constructed based data, used to assess dimension students’ performance. reveals problems students learning practice, helps generate portrait student. research results promote realization personalized