Online diagnosis learning provision method and apparatus

Abstract

The invention discloses an online diagnosis learning provision method and apparatus. The method comprises the steps of obtaining associated test questions of wrongly answered test questions according to a question answering state of a user and a "frequent 2-item set" algorithm; establishing a diagnosis learning library according to the wrongly answered test questions and the associated test questions; and when the user performs online question answering, if the questions are wrongly answered, pushing the associated test questions in the diagnosis learning library to the user for performing answering, wherein the diagnosis learning library is updated along with feedback of the user. The apparatus comprises a test question associative calculation module, a diagnosis learning library module, an online pushing module and a correction and updating module. According to the method and the apparatus, the user can be assisted to efficiently perform diagnosis learning, and the diagnosis learning library is corrected and updated through the feedback of the user, so that the accuracy of a pushing result is improved; and in addition, a specific implementation scheme is provided for constructing diagnosis learning modules of medium and small-sized online learning platforms.

Description

technical field [0001] The invention relates to the field of online learning platforms, in particular to a method and device for providing online diagnostic learning. Background technique [0002] With the development of Internet education, large and small online learning platforms continue to emerge. Since the establishment of these online learning platforms, a large amount of user data has been stored, of which the user's answer data accounts for the largest proportion, and how to efficiently and accurately find the information contained in the user answer data to help users carry out diagnostic learning is a key issue. It is necessary to use related technologies in the field of data mining. [0003] However, most of the current online learning platforms, after the user's answers are stored in the database, due to cost constraints or other reasons, the platform will no longer continue to dig and analyze these data in depth, and it will not reach the goal of diagnostic lea...

AI Technical Summary

Problems solved by technology

[0003] However, most of the current online learning platforms, after the user's answers are stored in the database, due to cost constraints or other reasons, the platform will no longer continue to dig and analyze these data in depth, and it will not reach the goal of diagnostic learning. Purpose

However, a small number of platforms based on big data can combine their own advantages, use accurate data mining algorithms and advanced data analysis methods to help users diagnose and learn, and expand the user scale. copy on learning platform

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