Abstract
The existing research on teaching development of teachers fails to effectively quantify the teaching development trend. This paper deeply mines the evaluation data on the teaching quality of college teachers, before analyzing and predicting the trend features for teaching development of college teachers based on knowledge discovery. Firstly, the knowledge features of the teaching development trend of college teachers were examined. Next, the fluctuation features of the time series on the teaching quality development of college teachers were described based on chaotic time series. In addition, a prediction model for teaching development of college teachers was established for weighted first-order chaotic time series, and used to simulate the nonlinear features of the time series on the teaching quality development of college teachers. The prediction model was proved effective through experiments.
Highlights
To improve the quality of higher education, the first step is to better the teaching quality of college teachers [1-3]
Starting with the big data on education, this paper deeply mines the evaluation data on the teaching quality of college teacher, and analyzes and predicts the trend features for teaching development of college teachers based on knowledge discovery
To predict the teaching development of college teachers, this paper proposes a prediction model for weighted first-order chaotic time series
Summary
To improve the quality of higher education, the first step is to better the teaching quality of college teachers [1-3]. In 2011, the education departments at central and local levels circulated their opinions on the teaching reform of higher education, highlighting the importance of enhancing the teaching ability of young college teachers. This kicked off in-depth and extensive domestic research into teaching development of college teachers [10-13]. Starting with the big data on education, this paper deeply mines the evaluation data on the teaching quality of college teacher, and analyzes and predicts the trend features for teaching development of college teachers based on knowledge discovery. The prediction results of our model were obtained through experiments, revealing that our model is highly effective
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