Data processing method of educational software based on big data

Abstract

The invention discloses a data processing method for educational software based on big data. By classifying and marking all the courses on the educational software, and screening each historical learning record within a preset time period according to the login account of the student user in the educational software, and then Analyze the student user's preferred course category, preferred learning time and preferred course teacher, so as to filter and recommend courses that meet the student user's preference, and at the same time connect the student user's learning and test conditions, according to the preset time of screening The test scores corresponding to each historical learning record in the section, analyze the student user's proficient course category and weak course category, and comprehensively analyze and process the student user's learning data on the educational software to make up for the current student network. The disadvantages of relatively single functions of educational software and low level of intelligence improve the functions of online educational software and meet the needs of users for intelligent use.

Description

technical field [0001] The invention belongs to the technical field of data processing, and relates to educational software data processing technology, in particular to a big data-based educational software data processing method. Background technique [0002] With the wide application of computer technology in the field of education, online education came into being, and many online education software emerged, such as student online education software, adult online education software, game online education software, etc., which broke through the traditional Due to the time and space constraints of classroom teaching, its flexible, quick and interactive features are favored by educators and learners. However, most of the current online education software has single functions and low level of intelligence. Taking student online education software as an example, on the one hand, the learning function and evaluation function provided by the current student online education sof...

AI Technical Summary

Problems solved by technology

However, most of the current online education software has single functions and low level of intelligence.

Taking the student online education software as an example, on the one hand, the learning function and evaluation function provided by the current student online education software are separated, and there is no in-depth mining based on the evaluation data of the students' learning courses, so as to obtain the courses that the students are good at and weak categories; on the other hand, the current online education software for students only recommends the courses that students like when they recommend courses, and does not take into account the courses that students like and the length of courses that teachers and students can accept, making the recommended courses too one-sided , the degree of matching with the students' preferences is low, and the recommendation effect is poor, resulting in students needing to spend a lot of time searching and filtering by themselves, which reduces the students' sense of experience

Therefore, the current online education software for students cannot meet the intelligent use needs of users.

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