CN105844996B - A kind of reading evaluation method and system based on big data - Google Patents
A kind of reading evaluation method and system based on big data Download PDFInfo
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- CN105844996B CN105844996B CN201610209106.1A CN201610209106A CN105844996B CN 105844996 B CN105844996 B CN 105844996B CN 201610209106 A CN201610209106 A CN 201610209106A CN 105844996 B CN105844996 B CN 105844996B
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Abstract
The present invention provides a kind of reading evaluation method based on big data, establishes the personal information of student, and establishes books detection exam pool；Student inputs personal information and logs in；After logining successfully, student selects exam pool to test；After the completion of test, test result is saved to database；A test result is provided according to the test result, and total and every books name for having read completion of the test result, students ' reading books is saved to database, teacher provides scoring to students ' reading level by data in database；The reading evaluation system based on big data that the present invention also provides a kind of, it is more reasonable to score to students ' reading, helps teacher and understands students ' reading level.
Description
Technical field
The present invention relates to a kind of reading evaluation method and system based on big data.
Background technique
There are mainly two types of existing reading level evaluation methods: one is withdrawn deposit to read water according to the how much amounts for reading quantity
Flat, another kind is a variety of dimension overall merits；But both all cannot be considerable obtain an evaluation result, wherein readding
Reading amount is can not to embody the quality of reading, and it is serious inclined with reality that the appraisement system for the quantity that covets will lead to evaluation result
From；The classification of dimensional information in the overall merit of a variety of dimensions is theoretically unsound at present, carries out to the dimension of various books
Classification is also without specific guidance method, therefore this appraisement system is excessively subjective, is not easy to promote.
Summary of the invention
The technical problem to be solved in the present invention is to provide a kind of reading evaluation method and system based on big data,
Rationally, easy appraisement system, can more scientifically evaluate reading level.
One of present invention is achieved in that a kind of reading evaluation method based on big data, includes the following steps:
Step 1, the personal information for establishing student, and establish books detection exam pool；
Step 2, student input personal information and log in；
Step 3, after logining successfully, student select exam pool test；
After the completion of step 4, test, test result is saved to database；A test result is provided according to the test result,
And total and every books name for having read completion of the test result, students ' reading books is saved to database；
Step 5, teacher provide scoring to students ' reading level by data in database.
Further, the step 5 is further specifically: teacher sets a read books total quantity according to students ' age
SMAX；Evaluation weight D is arranged in read books quantity SR, each book nationalityi；Setting total score is BA；Reading quality is arranged to weigh
Weight is F1, and the weight for reading quantity is F2, wherein F1+F2=1；The achievement BG that every book is tested after readingi, then every book is read
Evaluation of estimate M1 afterwardsi=BGi×Di；Then reading quality overall merit pointWherein read the scoring of quantityThen
The reading evaluation score of the student is (M × F1+N × f2) × 1000, and wherein i is positive integer.
The two of the present invention are achieved in that a kind of reading evaluation system based on big data, including following module:
Exam pool module, establishes the personal information of student, and establishes books detection exam pool；
Login module, student input personal information and log in；
Test module, after logining successfully, student selects exam pool to test；
After the completion of test, test result is saved to database for memory module；According to the test result provide a test at
Achievement, and total and every books name for having read completion of the test result, students ' reading books is saved to database；
Evaluation module, teacher provide scoring to students ' reading level by data in database.
Further, the evaluation module is further specifically: teacher sets a read books quantity according to students ' age
Maximum value SMAX；Evaluation weight D is arranged in each book nationalityi；Setting total score is BA；Setting reading quality weight is F1, is read
The weight of quantity is F2, wherein F1+F2=1；The achievement BG that every book is tested after readingi, then evaluation of estimate after every book is read
M1i=BGi×Di；Then reading quality overall merit pointIts
The middle scoring for reading quantityThen the reading evaluation score of the student is (M × F1+N × f2) × 1000, wherein i
For positive integer.
The present invention has the advantage that a kind of reading evaluation method and system based on big data of the present invention, reasonable, letter
Just appraisement system can more scientifically evaluate reading level.
Detailed description of the invention
The present invention is further illustrated in conjunction with the embodiments with reference to the accompanying drawings.
Fig. 1 is the method for the present invention execution flow chart.
Fig. 2 is the functional block diagram of present system.
Specific embodiment
As shown in Figure 1, including the following steps: the present invention is based on the reading evaluation method of big data
Step 1, the personal information for establishing student, and establish books detection exam pool；
Step 2, student input personal information and log in；
Step 3, after logining successfully, student select exam pool test；
After the completion of step 4, test, test result is saved to database；A test result is provided according to the test result,
And total and every books name for having read completion of the test result, students ' reading books is saved to database；
Step 5, teacher set a read books total quantity SMAX according to students ' age；Read books quantity SR, it is each
Evaluation weight D is arranged in this booksi；Setting total score is BA；Setting reading quality weight is F1, and the weight for reading quantity is F2,
Wherein F1+F2=1；The achievement BG that every book is tested after readingi, then evaluation of estimate M1 after every book is readi=BGi×Di；Then read
Read quality overall merit pointWherein read the scoring of quantityThen the reading evaluation score of the student is (M × F1+N × f2) × 1000, and wherein i is positive integer.
As shown in Fig. 2, the present invention is based on the reading evaluation system of big data, including following module:
Exam pool module, establishes the personal information of student, and establishes books detection exam pool；
Login module, student input personal information and log in；
Test module, after logining successfully, student selects exam pool to test；
After the completion of test, test result is saved to database for memory module；According to the test result provide a test at
Achievement, and total and every books name for having read completion of the test result, students ' reading books is saved to database；
Evaluation module, teacher set a read books quantity maximum value SMAX according to students ' age；The setting of each book nationality
Evaluation weight Di；Setting total score is BA；Setting reading quality weight is F1, and the weight for reading quantity is F2, wherein F1+F2=
1；The achievement BG that every book is tested after readingi, then evaluation of estimate M1 after every book is readi=BGi×Di；Then reading quality general comment
Valence pointWherein read the scoring of quantityThen the reading evaluation score of the student is (M × F1+N × f2) × 1000, and wherein i is positive integer.
Although specific embodiments of the present invention have been described above, those familiar with the art should be managed
Solution, we are merely exemplary described specific embodiment, rather than for the restriction to the scope of the present invention, it is familiar with this
The technical staff in field should be covered of the invention according to modification and variation equivalent made by spirit of the invention
In scope of the claimed protection.
Claims (2)
1. a kind of reading evaluation method based on big data, characterized by the following steps:
Step 1, the personal information for establishing student, and establish books detection exam pool；
Step 2, student input personal information and log in；
Step 3, after logining successfully, student select exam pool test；
After the completion of step 4, test, test result is saved to database；A test result is provided according to the test result, and will
The test result, students ' reading books total and every books name for having read completion save to database；
Step 5, teacher set a read books total quantity SMAX according to students ' age；Read books quantity SR, each book
Evaluation weight D is arranged in nationalityi；Setting total score is BA；Setting reading quality weight is F1, and the weight for reading quantity is F2, wherein
F1+F2=1；The achievement BG that every book is tested after readingi, then evaluation of estimate M1 after every book is readi=BGi×Di；Then read matter
Measure overall merit pointWherein read the scoring of quantityThen the reading evaluation score of the student is (M × F1+N × F2) × 1000, and wherein i is positive integer.
2. a kind of reading evaluation system based on big data, it is characterised in that: including following module:
Exam pool module, establishes the personal information of student, and establishes books detection exam pool；
Login module, student input personal information and log in；
Test module, after logining successfully, student selects exam pool to test；
After the completion of test, test result is saved to database for memory module；A test result is provided according to the test result,
And total and every books name for having read completion of the test result, students ' reading books is saved to database；
Evaluation module, teacher set a read books total quantity SMAX according to students ' age；Read books quantity SR, Mei Yiben
Evaluation weight D is arranged in booksi；Setting total score is BA；Setting reading quality weight is F1, and the weight for reading quantity is F2,
Middle F1+F2=1；The achievement BG that every book is tested after readingi, then evaluation of estimate M1 after every book is readi=BGi×Di；Then read
Quality overall merit pointWherein read the scoring of quantityThen the reading evaluation score of the student is (M × F1+N × F2) × 1000, and wherein i is positive integer.
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Families Citing this family (5)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN108197797A (en) * | 2017-12-28 | 2018-06-22 | 广州星耀悦教育科技有限公司 | A kind of students ' reading assay method and device based on big data |
| CN110020377B (en) * | 2018-01-02 | 2021-02-09 | 北大方正集团有限公司 | Network reading activity interaction method, device, server, terminal and storage medium |
| CN110033664A (en) * | 2019-04-22 | 2019-07-19 | 重庆多创电子技术有限公司 | A kind of wisdom reads points-scoring system and method |
| CN110716917A (en) * | 2019-09-12 | 2020-01-21 | 北京智联起点信息技术有限公司 | Reading evaluation method and system based on integral system |
| CN113298685A (en) * | 2021-07-01 | 2021-08-24 | 厦门悦讯信息科技股份有限公司 | Method and system for comprehensively evaluating reading level |
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| TW201015367A (en) * | 2008-10-09 | 2010-04-16 | cheng-fu Tang | Listening, speaking, reading and writing online test, tutoring and scoring system |
| CN104867075A (en) * | 2015-06-04 | 2015-08-26 | 武汉美联智酷教育科技有限公司 | Online learning evaluating system and online learning evaluating method |
| CN105184709A (en) * | 2015-08-20 | 2015-12-23 | 浙江通关教育科技有限公司 | Subject evaluation system and method based on knowledge point system |
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| KR100383062B1 (en) * | 2000-01-06 | 2003-05-09 | 이상현 | Educating method using internet |
| US9501945B2 (en) * | 2014-05-30 | 2016-11-22 | Verizon Patent And Licensing Inc. | System and method for tracking developmental training |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| TW201015367A (en) * | 2008-10-09 | 2010-04-16 | cheng-fu Tang | Listening, speaking, reading and writing online test, tutoring and scoring system |
| CN104867075A (en) * | 2015-06-04 | 2015-08-26 | 武汉美联智酷教育科技有限公司 | Online learning evaluating system and online learning evaluating method |
| CN105184709A (en) * | 2015-08-20 | 2015-12-23 | 浙江通关教育科技有限公司 | Subject evaluation system and method based on knowledge point system |
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