Advances in Science and Technology Vol. 105

Abstract: Based on the ARCS Motivation Model proposed by John M. Keller, the instructional design of blended learning is carried out, and the "Python Programming" course is taken as an example for empirical research. Pearson correlation analysis and Apriori algorithm are used to analyse the data of students' learning behavior. The results show that the pre-class preview learning behaviour has a significant impact on students' learning process. Through the association analysis of learning process, it is found that the difference between pre-class preview and self-test learning behavior has a significant impact on the learning outcomes. The empirical conclusion of this paper has important reference value for optimizing blended learning methods and data mining analysis based on learning behavior, so as to support teachers to carry out personalized guidance and feedback for students.

Abstract: Applied national law talents are a kind of specialized talents who are familiar with the legal phenomena of ethnic relations, can skillfully apply legal knowledge and ethnological knowledge to solve ethnic and legal problems, and have strong practical ability. This kind of personnel training cannot be separated from a reasonable teaching system. The author puts forward the path of constructing the teaching system of applied national law talents, and designs three teaching modes: Reading Teaching and Mark Teaching; Simulated Trial Teaching and Virtual Simulation Teaching; New Practice Mode of "Off-line plus On-line" . Meanwhile, the author also presents some opinions on the organization and arrangement of the teaching content, the design and innovation of the teaching mode, and the application of modern teaching techniques. It is emphasized that modern technology should be combined with the training of legal talents. Through the combination of modern multimedia teaching and network technology, case teaching and experimental teaching system modeling technology, virtual simulation experiment teaching and other educational means, accelerate the construction and technological innovation of applied ethnic legal talents teaching system, and design a teaching system that meets the needs of modern society.

Abstract: At present, the research on automatic evaluation of computer online examination system has become a hot issue. Natural language processing technology based on text mining has unique advantages in text similarity calculation. This paper designs the TR-BFS-WE-WMD integrated algorithm for automatic review of Chinese subjective questions based on text mining, uses the word database to integrate the BFS algorithm, realizes the calculation of the text full sentence similarity and keyword matching, and solves the problem of text semantic similarity. Experimental results prove that this algorithm has good accuracy and effectiveness. The TR-BFS-WE-WMD algorithm provides a useful attempt for the intelligent research of the computer automatic review system and has good practical value.