Analysis And Research Of College Students’ Self-Learning Ability

With the trend of the times, the importance of self-learning become more and more prominent. The development of scientific and technological progress requires self-learning and it is the basic skills that the innovative talents must have. Therefore, how to improve college students’ self-learning ability has become an important topic of theoretical and empirical research. At present, more work what research on college students’ self-learning ability lies in the theoretical aspects and not based on actual survey. Aiming at this problem, this paper selects the "Chinese College Student Survey" as a measurement tool, it can improve the accuracy of the study.Based on the theory of self-learning, this paper focus these factors what influence self-learning ability, such as awards, level of academic challenge, active and collaborative learning, student-faculty interaction, enriching educational experiences, supportive campus environment and deep learning. We identify the main factors, selected the eight key learning indicators and use them as variables in the logistic model, enriched the relevant researching theory over self-learning.In the process of logistic model establishing, besides those eight picked-up factors, this article introduces one qualitative indices--GPA. We have formed our college students’ self-learning ability logistic regression model what follows logistic theoretic model. This model can effectively judge out the change of college students’ self-learning ability. Then we choose another data as test samples to prove the logistic regression model. Verification result indicates that the model has a good predictive.