In online learning, the teacher-student interaction mainly takes place in the form of themed discussion anytime, anywhere, and the posting and commenting on the theme. It is of great practical significance to select a proper behavior analysis method that effectively analyzes the mass data on teacher-student interaction. Taking online English courses as an example, this paper explores the teacher-student interaction during online learning. Firstly, the ant colony algorithm was adopted for cluster analysis of teacher-student interaction, and the analysis procedure was detailed. Next, the features of teacher-student interaction were illustrated from three aspects, namely, overall interaction on online learning platform, progress of themed discussion, and teacher-student interaction, in order to examine the teacher-student interaction model. Finally, the features were obtained for teacher-student interaction in themed discussion of online English courses.

Background: Based on the ASIC1a/NLRP3 signaling pathway, we explored the specific molecular mechanism of the pyroptosis of rheumatoid arthritis (RA) chondrocytes by the method of nourishing qi, nourishing yin, and dredging collaterals to provide new ideas for the treatment of this disease.Methods: A total of 50 rats were divided into a normal group, model group, methotrexate group, Yiqi Yangyin Tongluo group, and combined group. Except for the normal control group, the other groups used Freund's complete adjuvant (FCA) to make RA rat model. The arthritis index and ankle joint swelling of rats in each group were recorded. HE staining and ELISA were used to assess the pathology of the ankle joint of each group of rats and the content of IL-1β and IL-18 in rat serum. Furthermore, immunofluorescence and qPCR methods were used to detect the protein and mRNA expression levels of NLRP3, caspase 1, ACS, and ASIC1a in the cartilage tissue of each group of rats.Results: Compared with the normal group, the right hind foot joint of the model group was significantly swollen, the levels of IL-18 and IL-1β in the serum of rats increased significantly, and the mRNA and protein levels of NLRP3, caspase 1, ACS, and ASIC1a in the chondrocytes also increased significantly. Compared with the model group, the degree of ankle joint swelling and IL-18 and IL-1β content in rat serum in each medication group was significantly reduced, and the combined group showed the greatest reduction compared with the other groups. After 8 weeks of treatment, compared with the model group, the mRNA and protein levels of NLRP3, caspase 1, ACS, and ASIC1a in the chondrocytes of each medication group were down-regulated. HE staining found that there were large numbers of infiltrating inflammatory cells and pannus in the joint tissue of the model group, while only a small amount of inflammatory cell infiltration and pannus was seen in the joint tissue of the rats in each treatment group. Conclusions:The method of Yiqi Yangyin Tongluo can attenuate the pyroptosis of RA chondrocytes through the ASIC1a/NLRP3 signaling pathway.

To measure the achievements and progress of college students in online learning, online learning platforms and teachers must pay attention to the formative evaluation of the learning process. The relevant data should be fully utilized to analyze the online English learning behavior of college students, such that online learning platforms and teachers can make formative evaluation of the students’ online learning. However, the existing studies on formative evaluation are mostly theoretical. To solve the problem, this paper explores the formative evaluation of college students’ online English learning based on learning behavior analysis. Firstly, the density-based spatial clustering of applications with noise (DBSCAN) was adopted to analyze the data samples of college students’ online English learning behavior, the evaluation indices were selected for the formative evaluation of the said behavior, and the index weighting method was explained in details. Next, the school precaution function of online English learning was realized through the graph structure data prediction of students’ online learning behavior. Based on the proposed graph neural network, the clustering Euclidean distance weight was introduced to measure the similarity between two nodes. In addition, the weight update process was illustrated for the distance weight-based attention mechanism. The proposed formative evaluation approach was proved effective through experiments.

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.