Design and implementation of quality analysis tools for teachers' intervention in online discussion

摘要

Online learning is an indispensable learning mode at present. The massive data generated by online discussion contains great educational value. However，the current analysis of online discussion mostly relies on human resources or simple feature extraction of partial information，which is not scientific and rigorous enough，thus greatly reducing the value of data. Based on this，this study integrated the application of natural language processing technology and data mining technology already mature in the field of artificial intelligence to the field of education，so that the data presented more value，so as to provide educators with a new tool to observe the data，but also make the online discussion quality analysis related research has a new application and development，has a certain research significance. Through literature analysis and integration of existing research and analysis framework on online discussion，this paper uses Python language to design and develop a semi-automatic online discussion quality analysis tool for teachers' intervention.