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Intelligent question composing method based on large data analysis
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A big data and intelligent technology, applied in data processing applications, electrical digital data processing, special data processing applications, etc., can solve problems such as inability to target different users, and achieve the effect of reducing resistance and improving learning effects.
Inactive Publication Date: 2017-09-26
杭州博世数据网络有限公司
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Many schools and educational institutions have designed online teaching and test question systems, but the traditional method of grouping questions relies entirely on random selection from the question bank, and cannot achieve objective and targeted grouping of questions for different users.
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Embodiment 1
[0047] Embodiment 1, a method for diagnosing knowledge points in online learning, comprising the following steps:
[0048] Step 1. Evaluate the probability that the user has mastered the knowledge point. The calculation formula is P(θ)=1 / (1+e^(b-θ)), where θ represents the ability parameter for evaluating the user, and b represents each topic The degree of difficulty, e is a constant 2.71828;
[0049] Among them, for this knowledge point, b adopts the standard difficulty coefficient, which refers to the unified difficulty coefficient standard determined through quantitative and qualitative research methods for all platform users.
[0050] According to the accumulated practice data of a large number of users on the whole platform, combined with the correct rate of each question (the correct rate of each question adopts the average correct rate of all parts of the country (counties) to reduce the impact of differences in teaching levels in various regions of the country, and then ...
Embodiment 2
[0065] The difference between embodiment 2 and embodiment 1 is that further, for each difficulty segment, samples are randomly selected, and the difficulty coefficient is finally determined through expert evaluation on the basis of statistical analysis results to ensure that the difficulty coefficient of the topic is objective and accurate . That is to say, experts first clarify the difficulty coefficient of the most difficult topic based on experience, and then test individual topics based on rich teaching experience.
Embodiment 3
[0066] Embodiment 3 differs from Embodiments 1 and 2 in that the expert assessment results and statistical analysis and assignment results are integrated to determine the final difficulty coefficient b=0.5*cumulative data analysis result+0.5*expert difficulty assignment for each topic.
[0067] After the diagnostic results of students' knowledge points are determined according to the above method, the system can carry out intelligent problem grouping.
[0068] Below in conjunction with specific implementation mode, the method for intelligent group questions is described as follows:
[0069] Step 1. Determine the knowledge points that need to be practiced. There are two methods, one is manual selection, and the other is automatic selection by the system. The teacher can determine the knowledge points that need to be practiced according to the number of people who have mastered each knowledge point in the class. Select knowledge points according to the priority of points, and se...
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Abstract
The invention discloses an intelligent question composing method based on large data analysis. Intelligent question composing is conducted according to student knowledge point diagnosis results, and the large data analysis is conducted on the student knowledge point diagnosis results based on an item response theory and a forgetting curve theory. The intelligent question composing method includes the steps of 1, determining the knowledge points which need to be practiced; 2, determining the total number N of questions done by students; 3, determining the number of questions of each knowledge point; 4, determining which questions are chosen in each knowledge point. The intelligent question composing method fully considers the students' intelligence factors and non-intelligence factors according to the students' personal knowledge point control situation, learning ability, learning willingness, answer speed and other indicators, scientifically controls the difficulty and number of questions aiming at different student individual, and chooses questions for the students by individualization, so that the students' resistance mood in the learning process is reduced, and the students' learning effect is enhanced.
Description
technical field [0001] The invention relates to a method for grouping questions for online learning. Background technique [0002] With the development of the network, the user's learning is closely linked with the network. Many schools and educational institutions have designed online teaching and test question systems, but the traditional method of grouping questions relies entirely on random selection from the question bank, and cannot achieve objective and targeted grouping of questions for different users. Contents of the invention [0003] The technical problem to be solved by the present invention is to provide an intelligent method for grouping questions based on big data analysis, which analyzes the user's online learning data and groups the questions in a targeted manner. [0004] In order to solve the above-mentioned technical problems, the present invention adopts the following technical solutions: an intelligent problem grouping method based on big data analy...
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