An Intelligent Approach for Learning Satisfaction

The feedback of students' satisfaction of learning is one of the important contents of the evaluation and management of higher education. The application of satisfaction originated from the Western business field, and later was used in education and educational activities. Students' learning satisfaction can directly reflect students' satisfaction to colleges and universities. After college education, students can evaluate their feelings by subjective cognition, which is of great reference value to college administrators and teachers. As learning satisfaction is affected by multiple factors such as individual students and school, the analysis of learning satisfaction data is also a part of judging the quality of college curriculum. In this study, the questionnaire of learning satisfaction is distributed to students through the network and then collected. The dataset is analyzed through decision tree. Furthermore, the parameters for above approach are adjusted by artificial bee colony. The proposed intelligent approach has the best accuracy among compared approaches.