Abstract
To explore the adoption of artificial intelligence (AI) technology in the field of teacher teaching evaluation, the machine learning algorithm is proposed to construct a teaching evaluation model, which is suitable for the current educational model, and can help colleges and universities to improve the existing problems in teaching. Firstly, the existing problems in the current teaching evaluation system are put forward and a novel teaching evaluation model is designed. Then, the relevant theories and techniques required to build the model are introduced. Finally, the experiment methods and process are carried out to find out the appropriate machine learning algorithm and optimize the obtained weighted naive Bayes (WNB) algorithm, which is compared with traditional naive Bayes (NB) algorithm and back propagation (BP) algorithm. The results reveal that compared with NB algorithm, the average classification accuracy of WNB algorithm is 0.817, while that of NB algorithm is 0.751. Compared with BP algorithm, WNB algorithm has a classification accuracy of 0.800, while that of BP algorithm is 0.680. Therefore, it is proved that WNB algorithm has favorable effect in teaching evaluation model.
Highlights
With the continuous update of emerging technologies such as artificial intelligence (AI) and the progression of educational information infrastructure, the integration of information technology and education is deepening
To build a teacher teaching evaluation system that adapts to the education environment in the new era, the machine learning algorithm under the background of AI is adopted to build the teaching evaluation system, and the role of machine learning algorithm in teacher teaching evaluation system is discussed
The results reveal that the evaluation system model designed in this work has a good performance in both accuracy and speed
Summary
With the continuous update of emerging technologies such as AI and the progression of educational information infrastructure, the integration of information technology and education is deepening. Many new technologies, such as online course, simulation teaching, and online education platform, have been widely adopted in college teaching. The popularization of these technologies has realized the integration and sharing of teaching resources and promoted the communication between teachers and students. The close connection of education and AI iJET ‒ Vol 16, No 05, 2021
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