Teaching Method of Japanese Professional Writing Course Based on Big Data Fusion

Abstract

In recent years, the number of Japanese learners has increased year by year. When Japanese is learned as a language, knowledge of the language itself is indispensable. This article aims to explore the teaching methods of Japanese professional writing courses based on the integration of big data. This article first introduces big data fusion and introduces the definition and model of data fusion. Generally, there are two types of data fusion models: distributed and centralized. Then, I analyzed the artificial neural network algorithm, which is a computational model that imitates the animal brain, and then researched the context-based teaching of Japanese professional courses and analyzed the context-based teaching of Japanese professional writing. The results of the context-based Japanese course teaching research show that the average Japanese writing score of the experimental class is 72.7833, the control class score is 66.3333, and the composition fluency scores are 156.27 and 119.73. It can be concluded that the composition performance and composition fluency of students in the experimental class are higher than those in the control class, so educators should let students strengthen vocabulary spelling and memory skills in situational teaching.

Research on Big Data Professional Curriculum Construction Based on OBE Education Concept——Take Hadoop System Application as an example

“…Neither theory alone nor explanation of the operation process should be allowed, so that students can know more about it. Due to the late opening of big data courses, there are not many mature supporting resources, so it is necessary to collect a large amount of data, build and sort out characteristic digital teaching resources, such as teaching courseware, pre class guidance micro tasks, knowledge point micro videos, operation demonstration videos, cases, exercise banks, discussion topics, questionnaires, expansion resources and other diversified digital resources [16]. Big data is closely linked with current events, providing more expansion papers, current events videos, news links, improving students' interest in learning, and letting students know how to apply what they have learned.…”