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Question recommendation system based on answer statistical characteristics

A statistical feature and recommendation system technology, applied in computing, computer components, special data processing applications, etc., can solve problems such as typical topics and similarities that cannot be recommended by users' needs

Active Publication Date: 2020-11-03
ZHEJIANG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0009] In order to solve the defect that a large number of topics in the current auxiliary teaching platform are similar in content and cannot recommend more typical topics according to user needs, this invention proposes a topic recommendation system based on the statistical characteristics of answers

Method used

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  • Question recommendation system based on answer statistical characteristics
  • Question recommendation system based on answer statistical characteristics
  • Question recommendation system based on answer statistical characteristics

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Experimental program
Comparison scheme
Effect test

Embodiment

[0072] Tables 1 and 2 show some output results of the above specific implementation process under the knowledge point of "binary tree and its traversal" in the background data set of the PTA platform:

[0073] There are a total of 262 questions for this knowledge point. The algorithm divides the questions into 9 categories, and some of the questions with high typical scores are as follows:

[0074] Table 1 Topics with higher scores

[0075]

[0076] Table 2 Topics with low scores

[0077]

[0078]

[0079] It can be seen that most of the typical questions are more intuitive, and the inspection of knowledge points in the questions is straightforward. On the other hand, the less typical topics have relatively little correlation with knowledge points, or the way of examining knowledge points is more obscure.

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Abstract

The invention discloses a question recommendation system based on answer statistical characteristics, which belongs to the field of computer aided teaching and the field of data mining. The method comprises a question acquisition module, a preprocessing module, a query characteristic configuration module, a user interface, a characteristic processing module, a clustering calculation module and a question recommendation module. According to the recommendation system, test questions capable of solving user requirements most specifically are efficiently screened out from a question set which is randomly given and obtained from a background of a teaching platform in a secondary clustering mode, a method of combining multiple evaluation modes is adopted, based on the answer statistical characteristics, the mastering condition of a user for each question in a certain time period can be strongly represented, and the numerical value of the characteristic value can be dynamically updated alongwith the improvement of the mastering degree and the improvement of the education quality. Intra-class information and inter-class information in clustering results are combined in recommendation, andit is guaranteed that recommended test questions have high representativeness. The defects that similar questions on an auxiliary teaching platform are too many and no typical question screening mechanism exists are overcome.

Description

technical field [0001] The invention relates to the fields of computer-aided teaching and data mining, in particular to a topic recommendation system based on statistical characteristics of answers. Background technique [0002] With the popularization and popularity of computer and Internet technology, the importance and necessity of online assisted teaching platform are becoming more and more obvious. Nowadays, there are many platforms, such as Homework Help, Puzzle A, Chinese University MOOC, etc., which are dedicated to the research of data-driven digital teaching personalized services, personalized intelligent guidance, etc., and generally provide fill-in-the-blank questions, multiple-choice questions, judgment questions, etc. Question type automatic judgment function. [0003] After long-term operation, some online auxiliary teaching platforms have a large number of original question banks and student practice records, and have accumulated a large amount of structured...

Claims

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Application Information

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IPC IPC(8): G06F16/2457G06F16/2458G06K9/62G06Q50/20
CPCG06F16/2457G06F16/2462G06Q50/205G06F18/23
Inventor 陈建海马万腾沈睿周瑞祺余林恩何钦铭
Owner ZHEJIANG UNIV
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