CN113554338A - Method for evaluating reading ability of user - Google Patents
Method for evaluating reading ability of user Download PDFInfo
- Publication number
- CN113554338A CN113554338A CN202110888010.3A CN202110888010A CN113554338A CN 113554338 A CN113554338 A CN 113554338A CN 202110888010 A CN202110888010 A CN 202110888010A CN 113554338 A CN113554338 A CN 113554338A
- Authority
- CN
- China
- Prior art keywords
- words
- user
- idioms
- paragraphs
- reading
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 13
- 238000011156 evaluation Methods 0.000 claims description 5
- 230000014509 gene expression Effects 0.000 claims description 3
- 238000013473 artificial intelligence Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 239000003086 colorant Substances 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/10—Text processing
- G06F40/103—Formatting, i.e. changing of presentation of documents
- G06F40/117—Tagging; Marking up; Designating a block; Setting of attributes
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/20—Education
- G06Q50/205—Education administration or guidance
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Human Resources & Organizations (AREA)
- Strategic Management (AREA)
- Educational Administration (AREA)
- Theoretical Computer Science (AREA)
- Economics (AREA)
- Tourism & Hospitality (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Educational Technology (AREA)
- Development Economics (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Entrepreneurship & Innovation (AREA)
- General Business, Economics & Management (AREA)
- Marketing (AREA)
- Artificial Intelligence (AREA)
- Primary Health Care (AREA)
- Audiology, Speech & Language Pathology (AREA)
- General Engineering & Computer Science (AREA)
- Computational Linguistics (AREA)
- Game Theory and Decision Science (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Document Processing Apparatus (AREA)
Abstract
The invention discloses a method for evaluating the reading ability of a user, which gives an objective score and can collect a data set formed by characters, words, idioms, sentence patterns and paragraphs which are wrongly marked by the user according to a marking rule. Accurate reference can be provided for training through the scoring and the data set.
Description
Technical Field
The invention belongs to the field of artificial intelligence, and particularly relates to a method for evaluating reading ability of a user.
Background
An important link of reading training is to evaluate the original reading ability of the user. The method aims to find the reading ability short board of a user through evaluation, and perform targeted supply and course training according to the short board. Therefore, the reading capability evaluation is an important basis for developing reading training and is also a core link, and the quality of the evaluation is directly related to the final effect of the training.
Disclosure of Invention
The invention aims to solve the technical problem that an evaluation method for the reading ability of a user gives an objective score and can collect a data set formed by characters, words, idioms, sentence patterns and paragraphs wrongly marked by the user according to the marking rule.
In order to solve the problems, the technical scheme of the invention is that,
a method for evaluating the reading ability of a user,
acquiring a data set for sending an article, wherein the data set is used for decomposing the article into words, expressions, idioms, sentence patterns and paragraphs;
setting a marking rule, and marking the characters, words, idioms, sentence patterns and paragraphs which accord with the marking rule;
sending the marking rule to a user, and acquiring characters, words, idioms, sentence patterns and paragraphs marked by the user according to the marking rule;
the words, terms, idioms, sentence patterns and paragraphs marked by the user according to the marking rules are marked and compared with the part of words, terms, idioms, sentence patterns and paragraphs marked previously;
if the coincidence degree of the characters, words, idioms, sentences and paragraphs marked by the user according to the marking rules and the previously marked partial characters, words, idioms, sentences and paragraphs is 85% -100%, the reading ability is scored as A;
if the coincidence degree of the characters, words, idioms, sentences and paragraphs marked according to the marking rules by the user and the previously marked partial characters, words, idioms, sentences and paragraphs is 70-84%, the reading ability is scored as B;
if the coincidence degree of the characters, words, idioms, sentences and paragraphs marked according to the marking rules by the user and the previously marked partial characters, words, idioms, sentences and paragraphs is 55-69%, the reading ability is scored as C;
if the coincidence degree of the characters, words, idioms, sentences and paragraphs marked according to the marking rules by the user and the previously marked partial characters, words, idioms, sentences and paragraphs is 54 percent, the reading ability is scored as D;
wherein A > B > C > D.
Further, also comprises
Presetting reading time for reading an article;
acquiring reading time of a user;
comparing the reading time of the user with the preset reading time;
if the reading time of the user is longer than the preset reading time, the reading ability score is subtracted;
and if the reading time of the user is less than the preset reading time, adding points to the reading ability scores.
Further, also comprises
And collecting characters, words, idioms, sentences and paragraphs wrongly marked by the user according to the marking rules.
The invention has the beneficial effects that: an objective score is given, and meanwhile, words, idioms, sentence patterns and paragraphs which are wrongly marked by the user according to the marking rule can be collected to form a data set.
Detailed Description
In order to make those skilled in the art better understand the technical solution of the present invention, the technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It is noted that the terms first, second and the like in the description and in the claims of the present invention are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Example one
A method for evaluating the reading ability of a user,
acquiring a data set for sending an article, wherein the data set is used for decomposing the article into words, expressions, idioms, sentence patterns and paragraphs;
setting a marking rule, and marking the characters, words, idioms, sentence patterns and paragraphs which accord with the marking rule;
sending the marking rule to a user, and acquiring characters, words, idioms, sentence patterns and paragraphs marked by the user according to the marking rule;
the words, terms, idioms, sentence patterns and paragraphs marked by the user according to the marking rules are marked and compared with the part of words, terms, idioms, sentence patterns and paragraphs marked previously;
presetting reading time for reading an article;
acquiring reading time of a user;
comparing the reading time of the user with the preset reading time;
if the reading time of the user is longer than the preset reading time, the reading ability score is subtracted;
if the reading time of the user is less than the preset reading time, adding points to the reading ability scores;
if the coincidence degree of the characters, words, idioms, sentences and paragraphs marked by the user according to the marking rules and the previously marked partial characters, words, idioms, sentences and paragraphs is 85% -100%, the reading ability is scored as A;
if the reading time of the user is less than the preset reading time, the reading capability is scored as A +;
if the reading time of the user is longer than the preset reading time, the reading ability is scored as A-;
if the coincidence degree of the characters, words, idioms, sentences and paragraphs marked according to the marking rules by the user and the previously marked partial characters, words, idioms, sentences and paragraphs is 70-84%, the reading ability is scored as B;
if the reading time of the user is less than the preset reading time, the reading capability is scored as B +;
if the reading time of the user is longer than the preset reading time, the reading ability is scored as B-;
if the coincidence degree of the characters, words, idioms, sentences and paragraphs marked according to the marking rules by the user and the previously marked partial characters, words, idioms, sentences and paragraphs is 55-69%, the reading ability is scored as C;
if the reading time of the user is less than the preset reading time, the reading capability is scored as C +;
if the reading time of the user is longer than the preset reading time, the reading ability is scored as C-;
if the coincidence degree of the characters, words, idioms, sentences and paragraphs marked according to the marking rules by the user and the previously marked partial characters, words, idioms, sentences and paragraphs is 54 percent, the reading ability is scored as D;
if the reading time of the user is less than the preset reading time, scoring the reading ability as D +;
if the reading time of the user is longer than the preset reading time, the reading ability is scored as D-;
wherein A + > A- > B + > B > B- > C + > C > C- > D + > D-.
Further, the method also comprises the step of collecting words, terms, idioms, sentences and paragraphs which are wrongly marked by the user according to the marking rules.
If the difficulty is calculated in a mode that the reading record E of the user is R.C, the average reading speed is calculated, for example, a piece of article, the whole article totally has 385 characters, the recommended average reading time is about 2 minutes, and the time required by the user to read the 385 characters is 1.3 minutes according to the reading record of the user, the system presets the reading time of reading the article for 1.3 minutes through the past data of the user, obtains the real-time reading time of the user for 1.2 minutes and compares the real-time reading time with the preset reading time, and then scores the reading capability scores, and otherwise, subtracts the scores.
The difficulty of Chinese characters is generally related to two factors, namely stroke number and character frequency information. Low frequency words, often associated with reader familiarity, have a low frequency, generally meaning that the word is rare and therefore is exceptionally difficult to recognize, and in one article the word is marked with the pronunciation "lang" for the rare word "" and the user determines the correct marking with the pronunciation "lang" when reading, or determines the wrong or unmarked with some wrong pronunciation such as "yue".
The words play an important role in Chinese reading and are key factors influencing the difficulty of text reading. The marking rules of the words are that words are marked in advance according to the shapes of words, the parts of speech and the word senses, the characteristics of the shapes of words, the parts of speech and the word senses are pushed to a reading user, the user marks corresponding words through the characteristics of the shapes of words, the parts of speech and the word senses, such as words "green", "yellow" and the like with colors marked in advance, the marking rules are pushed to the user, the words which are marked by the user after reading are collected, and the words marked by the user are compared with the words with the preselected marks to judge whether the marks are correct or whether the marks are complete.
The marking rules of the sentences and paragraphs are the same as the words, such as the sentences marked in advance for describing the actions of the characters, namely the sentences which describe the actions of the characters are lifted by the user slowly, the words which describe the actions of the characters in the text are quickly blinked, and the like, the marking rules are pushed to the user, the words marked by the user after reading are collected, and the words marked by the user are compared with the words marked by the preselected marks to judge whether the marks are correct or complete.
It will be appreciated by those of ordinary skill in the art that the embodiments described herein are intended to assist the reader in understanding the principles of the invention and are to be construed as being without limitation to such specifically recited embodiments and examples. Those skilled in the art can make various other specific changes and combinations based on the teachings of the present invention without departing from the spirit of the invention, and these changes and combinations are within the scope of the invention.
Claims (2)
1. A reading ability evaluation method is characterized by comprising the following steps:
acquiring a data set for sending an article, wherein the data set is used for decomposing the article into words, expressions, idioms, sentence patterns and paragraphs;
setting a marking rule, and marking the characters, words, idioms, sentence patterns and paragraphs which accord with the marking rule;
sending the marking rule to a user, and acquiring characters, words, idioms, sentence patterns and paragraphs marked by the user according to the marking rule;
the words, terms, idioms, sentence patterns and paragraphs marked by the user according to the marking rules are marked and compared with the part of words, terms, idioms, sentence patterns and paragraphs marked previously;
if the coincidence degree of the characters, words, idioms, sentences and paragraphs marked by the user according to the marking rules and the previously marked partial characters, words, idioms, sentences and paragraphs is 85% -100%, the reading ability is scored as A;
if the coincidence degree of the characters, words, idioms, sentences and paragraphs marked according to the marking rules by the user and the previously marked partial characters, words, idioms, sentences and paragraphs is 70-84%, the reading ability is scored as B;
if the coincidence degree of the characters, words, idioms, sentences and paragraphs marked according to the marking rules by the user and the previously marked partial characters, words, idioms, sentences and paragraphs is 55-69%, the reading ability is scored as C;
if the coincidence degree of the characters, words, idioms, sentences and paragraphs marked according to the marking rules by the user and the previously marked partial characters, words, idioms, sentences and paragraphs is 54 percent, the reading ability is scored as D;
wherein A > B > C > D.
2. The method for evaluating reading performance according to claim 1, wherein: also comprises
Presetting reading time for reading an article;
acquiring reading time of a user;
comparing the reading time of the user with the preset reading time;
if the reading time of the user is longer than the preset reading time, the reading ability score is subtracted;
and if the reading time of the user is less than the preset reading time, adding points to the reading ability scores.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110888010.3A CN113554338A (en) | 2021-08-03 | 2021-08-03 | Method for evaluating reading ability of user |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110888010.3A CN113554338A (en) | 2021-08-03 | 2021-08-03 | Method for evaluating reading ability of user |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113554338A true CN113554338A (en) | 2021-10-26 |
Family
ID=78105224
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110888010.3A Pending CN113554338A (en) | 2021-08-03 | 2021-08-03 | Method for evaluating reading ability of user |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113554338A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113986018A (en) * | 2021-12-30 | 2022-01-28 | 江西影创信息产业有限公司 | Visually impaired assisted reading learning method, system and storage medium based on smart glasses |
-
2021
- 2021-08-03 CN CN202110888010.3A patent/CN113554338A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113986018A (en) * | 2021-12-30 | 2022-01-28 | 江西影创信息产业有限公司 | Visually impaired assisted reading learning method, system and storage medium based on smart glasses |
| CN113986018B (en) * | 2021-12-30 | 2022-08-09 | 江西影创信息产业有限公司 | Vision impairment auxiliary reading and learning method and system based on intelligent glasses and storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108932508B (en) | Method and system for intelligently identifying and correcting subjects | |
| CN110096570A (en) | A kind of intension recognizing method and device applied to intelligent customer service robot | |
| CN109271585B (en) | Information pushing method and family education equipment | |
| CN104156447B (en) | A kind of intelligent social platform advertisement early warning and processing method | |
| CN113554338A (en) | Method for evaluating reading ability of user | |
| KR20010054622A (en) | Method increasing recognition rate in voice recognition system | |
| CN106847260A (en) | A kind of Oral English Practice automatic scoring method of feature based fusion | |
| DE2918533A1 (en) | VOICE RECOGNITION SYSTEM | |
| CN104809103A (en) | Man-machine interactive semantic analysis method and system | |
| Locklear et al. | Continuous authentication with cognition-centric text production and revision features | |
| CN101692316A (en) | Method for automatically grading no-paper exam by C/C++language program design | |
| CN115034218A (en) | Chinese grammar error diagnosis method based on multi-stage training and editing level voting | |
| CN116665213A (en) | Automatic correction method for literature answering questions | |
| US4115932A (en) | Phonetics system and method of teaching phonetics | |
| CN115953175B (en) | Multiple anti-counterfeiting method, system, equipment and storage medium based on surface layer identification | |
| CN111291591A (en) | Intelligent test paper reading and printing method and device | |
| CN112989784A (en) | Text automatic scoring method and device based on twin neural network and electronic equipment | |
| US3675339A (en) | Keyboard teaching machine | |
| Palfreyman | Colour terms in Indonesian sign language varieties: A preliminary study | |
| CN111274801A (en) | Word segmentation method and device | |
| CN116152828A (en) | Job correcting method, system, terminal and storage medium | |
| CN117011419A (en) | Answer sheet making and test question association system and method | |
| Fogarty et al. | Mining a database of reading mistakes: For what should an automated Reading Tutor listen | |
| CN110675293A (en) | Student activity data acquisition and analysis system | |
| Bunch | Retroactive inhibition or facilitation from interpolated learning as a function of time. |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |