Education software data processing method based on big data

Abstract

The invention discloses an education software data processing method based on big data. The method comprises the steps: carrying out the classification marking of all courses on education software, and screening each historical learning record in a preset time period according to the login account of a student user in the education software; analyzing the preference course category, the preference learning duration and the preference course teacher of the student user so as to screen the courses meeting the preference of the student user for recommendation, meanwhile, associating the learning and testing conditions of the student user together; and according to the test scores corresponding to the historical learning records in the screened preset time period, analyzing skilled course category and the weak course category of the student users; therefore,ethe learning data of the student user on the education software are analyzed and processed comprehensively, the defects that existing student network education software is single in function and low in intelligent level are overcome, the function of the network education software is perfected, and the intelligent use requirements of users are satisfied.

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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