Method for grading test text reading difficulty of children based on Ross model

Abstract

The invention discloses a method for grading test text reading difficulty of children based on a Ross model. The method comprises the following steps: finding text fragments involved in an answer of a reading understanding question in a text; calculating language variables of the text segments to serve as independent variables; converting the reading understanding score into a Logit value, and then converting the Logit value into a text difficulty value in a 200-1500 interval as a dependent variable; adopting a Pearson product difference correlation coefficient to screen out an independent variable with a high correlation coefficient with the dependent variable; and determining an optimal linguistic variable for predicting the dependent variable by adopting a least square method, and exporting an optimal matching function. According to the method, the Ross model and the score conversion method thereof are adopted to carry out difficulty level analysis on the text by using any number from 200 to 1500, the goodness of fit is high, and the method accords with the language characteristics of Chinese. Students can measure and calculate the difficulty level of reading the text by reading the text and completing 3-4 reading understanding questions corresponding to the text, the calculation is simple and rapid, and the method has good applicability and generalization performance.

Description

Technical field [0001] The present invention relates to the field of educational technology, and more particularly to a grading method for the difficulty of reading test text based on Rose model. Background technique [0002] Reading is to actively understand the written materials and the meaning of the thinking activities. It is the inheritance of the non-substance, and it is determined that the reading comprehension level should find an objective property. This type of referral is the language variable in the text. In English-speaking, classic technology to divide the text difficulty is to build readability formulas, technology mature, and its specific method is to read understanding of students, and read understanding of the language as a variable, will read the language in the test text. The variable is used as an argument, using Pearson integration correlation coefficient and minimum multiplier calculation and filtering the best language variables, reading test text difficul...

AI Technical Summary

Problems solved by technology

[0004] The object of the present invention is to provide a method for grading the difficulty of children's reading test texts based on the Ross model. The Ross model in mathematics will be used to refer to the difficulty of reading texts with any number in the 200-1500 interval, so as to solve the problem of reading at different levels among children of the same grade. The reference problem of comprehension ability, solve the problem of reading comprehension that affects children's perception of the difficulty of language variables in the text, thereby affecting the difficulty of the text, so as to solve the problems raised in the above background technology

Images