Method for estimating time required for completing test paper based on big data

Abstract

The invention discloses a method for estimating the time required for completing test paper based on big data, and the method comprises the following steps: determining sample test questions, the questions in the sample test questions being questions done by both a learner A and a learning group B, and the sample test questions comprising different question types and / or test questions in differentdifficulty ranges; calculating the time t for the learner A to complete the sample test questions, and calculating the average time T < sum > for the learning group B to complete the sample test questions; calculating a ratio P of the time for completing the sample test questions by the learner A to the average time for completing the sample test questions by the learning group B; estimating the time fi required by each question when the learner A does the actual test questions; and estimating the total time X required for the learner A to do the actual test questions. According to the invention, whether the question quantity, difficulty and the like of the test questions meet the requirements of the test time or not can be speculated, so that the proper training quantity is maintained, the body health of learners is ensured, and the training efficiency is improved.

Description

technical field [0001] The invention relates to the field of big data, in particular to a method for estimating the time required to complete an examination paper based on big data. Background technique [0002] When formulating test questions, the time required for learners to complete the test questions is usually estimated to ensure that learners can complete the test questions within the specified time. In the prior art, the estimated time required for learners to complete the test questions is generally estimated based on the experience of the proposition teacher and the total number of words in the test questions. The following problems: 1. Inaccurate estimation of the time to complete the exercises, resulting in too many exercises and too long practice time for the learners, which reduces the training efficiency of the learners and is not conducive to the health of the learners; 2. For the exam questions, if The estimated completion time is inaccurate, and learners c...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to overcome the deficiencies of the prior art and provide a method for estimating the time required to complete the test paper based on big data. In the prior art, it is impossible to accurately estimate the time required for the learner to complete the test questions, resulting in training Inappropriate amount, reducing training efficiency and learning enthusiasm of learners

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