Student reading analysis evaluation method and device based on big data
A technology of analysis and evaluation and big data, applied in the field of education informatization
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Embodiment 1
[0050] Such as figure 2 As shown, a method for analyzing and evaluating student reading based on big data provided in this embodiment specifically includes the following sub-steps:
[0051] S101: Receive the student information sent by the smart terminal and the reading parameters corresponding to the student information; the reading parameters are reading ability parameters, which are obtained by reading evaluation articles, and the reading ability parameters include reading speed and reading comprehension Pass rate; the student reading analysis server collects two parameter values: the reading speed of students reading books on the terminal device and the pass rate of reading comprehension;
[0052] S102: Calculate the reading ability index according to the reading ability parameters; reading speed = total number of words in the reading evaluation article / time for reading the evaluation article;
[0053] Pass rate of reading comprehension = correct score of reading evaluat...
Embodiment 2
[0058] Such as image 3 As shown, a method for analyzing and evaluating student reading based on big data provided in this embodiment specifically includes the following sub-steps:
[0059] S201: Receive the student information sent by the smart terminal and the reading parameters corresponding to the student information; the reading parameters are reading interest parameters, and the reading interest indicators include the number of book types; the student reading analysis server collects the reading data selected by the students on the terminal device The number of types covered by books; the types are divided into popular science, literature, comprehensive humanities, general education, and artistic creativity; these classifications are divided according to major categories, mainly for students to have a more balanced development in several aspects of the intellectual formation stage And set the reference;
[0060] S202: Calculate and obtain the reading interest index acco...
Embodiment 3
[0063] Such as Figure 4 As shown, a method for analyzing and evaluating student reading based on big data provided in this embodiment specifically includes the following sub-steps:
[0064] S301: Receive the student information sent by the smart terminal and the reading parameters corresponding to the student information; the reading parameters are reading habit parameters, and the reading habit parameters include the number of days to complete the reading task and the number of book reviews published; The number of days to complete the reading task on the device and the number of book reviews published are two parameter values;
[0065] S302: Calculate according to the reading habit parameter to obtain the reading habit index; the number of days to complete the reading task=the average number of days for completing the reading task in the current statistics city (the total number of days of all students / total number of students), the number of book reviews published=the aver...
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Abstract
Description
Claims
Application Information
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