Research on the Changes of College Students' Cognitive Level under the Broadcast Teaching Mode during the COVID-19 Pandemic Period.

A variety of smart education evaluation methods have emerged in the era of information technology. This study proposes an improved Bayesian Cognitive Tracing Model (BKT-IRT) based on the working environment of classroom response system. The college physics classroom response data set is analyzed to compare the cognitive level under broadcast teaching mode during the COVID-19 epidemic period and traditional classroom teaching mode. The results show the student cognitive level under broadcast teaching mode is lower compared with that of the traditional mode. The BKT-IRT method can show the differences in cognitive level more clearly compared with IRT method and questionnaire survey method.