Research on the Construction of Classroom Teaching Evaluation System Based on Artificial Intelligence

Abstract

Human beings are accelerating into the era of artificial intelligence. In all areas of society, artificial intelligence is playing an irreplaceable and huge role. The development of artificial intelligence in the field of education is accelerating. The development of artificial intelligence in the field of education is accelerating. It promotes the development of teaching and makes classroom teaching more lively and interesting. Classroom teaching evaluation occupies a very important position in education and teaching, and it is a ruler to measure the quality of classroom teaching. Based on the study of traditional classroom teaching evaluation, this paper analyzes the problems in traditional teaching evaluation from three aspects: single teaching evaluation method, untimely feedback of evaluation results, and inability to achieve comprehensive evaluation. An artificial intelligence-based classroom teaching evaluation system is constructed from three aspects: system structure, procedural evaluation of students' listening to lectures, and procedural evaluation of teachers' teaching. On this basis, it analyzes the technical, ethical, and systematic problems of artificial intelligence in classroom teaching evaluation. In response to these problems, the development strategy of artificial intelligence in classroom teaching evaluation is proposed from several aspects, such as breaking through the technical bottleneck and establishing a teaching evaluation simulation system. Finally, the prospects for the development of artificial intelligence in teaching evaluation are prospected.