Design of a Hybrid Classroom Teaching Quality Evaluation System Based on Information Technology

Abstract

With the rapid development of today’s information technology, it is an inevitable trend for the reform and development of education and teaching in colleges and universities to promote education modernization through education informatization. Information management has penetrated into the teaching and management of colleges and universities. Based on information technology, this paper studies the design of a data mining algorithm-based hybrid classroom teaching quality improvement evaluation system model, which fully reflects the quality of hybrid classroom teaching based on information technology in universities. In order to accurately grasp the current status of the current mixed classroom teaching quality, this experiment has been collected, sorted, and studied in recent years for analysis. A neural network algorithm is used to construct a model for it. This algorithm is combined with a questionnaire survey method to screen the mixed classroom teaching quality evaluation indicators of college information technology. Finally, a BP model is constructed through the classroom teaching quality and the model calculation samples are selected., The teaching quality can be obtained after calculation. Experimental research results show that with the advent of the information age, the development of blended teaching is divided into three stages. The first is based on technology, and the second is based on the interactive method of online and offline technology teaching. The third is to focus on the learning experience of learners. Blended teaching is a sublimation of traditional teaching mode and a return to traditional concepts. This brand-new teaching model will surely become the new normal of the education model in the future.