CN110111610A - Chinese language structure reading method in adaptive learning based on AI algorithm - Google Patents
Chinese language structure reading method in adaptive learning based on AI algorithm Download PDFInfo
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Abstract
The invention discloses Chinese language structure reading methods in the adaptive learning based on AI algorithm, it is whole that structure reading method of the invention can guide student to hold article, be conducive to student's promotion to the overall cognitive of article, apply to Adaptable System, pass through the learning process of " survey-- white silk ", it forms personalized pushing away and inscribes path, can effectively help student to be promoted and read ability and learning efficiency.The examination question for being best suitable for students' learning ability and knowledge point grasp level instantly is pushed in the process in each stage, is reached consolidation and is improved, the learning effect that leakage detection is filled a vacancy；From the point of view of examination level, structure reading method is applied into Adaptable System, after personalized study, is able to ascend the Grasping level that student acts on paragraph class and article purport (writing intention) class examination question.From study habit form level from the point of view of, structure reading method is suitable for a variety of styles including utility classes and literature, and the teaching of reading method benefits throughout one's life for student.
Description
Technical field
The present invention relates to adaptive learning technical fields, and Chinese language structure is read in the adaptive learning specially based on AI algorithm
Reading method.
Background technique
Read the key points and difficulties of always philology section examination.The score value of reading comprehension test accounts for the half of middle high examination paper
Rivers and mountains.On the one hand the quality height of reading level influences the Grasping level of examination question and corresponding knowledge point by student, another
Aspect is influenced by reading comprehension.The reading ability of examination level had both been embodied in understanding and further investigated to syntagma,
It is embodied in the assurance to the overall recognition and content, purport of article.
For Course Exercise field, existing Chinese language make-up lessons training course is mostly with knowledge point or examination point for design
Main line is placed on focal points the assurance degree promoted to examination question and knowledge point.This Course Exercise mode has drawback, first is that
To the undertrained comprehensive of reading ability, ignore training of students and form and improve to the overall recognition of article and in article
Hold, the assurance of purport.Second is that this Course Exercise thinking often has ignored the systematic training for reading method and technical ability.School
Chinese curriculum although take into account the overall cognitive and detail analysis of article, but because lessons are heavy, learning Content is many and diverse, often
Lack study comprehensive to reading method, system and training, the learning effect of fast lifting reading level cannot be reached.
For the implementation of the technology of course, with going deep into for Internet education, more and more Xian Shang educational institutions are released
Online verbal learning course.Wherein most of Online class is with teacher's living broadcast interactive or the formal expansion of course recorded broadcast,
The links of traditional curriculum have been dissolved into the Internet line in education, and fixed study and testing process are formd.However, studying carefully
Its essence, the Kane equations of course are still no different with Traditional Classroom, that is, are relied on and given lessons on internet platform line using true man.In technology
Cocurriculum content study aspect, without too big innovation.
In conclusion the case where reading method is implemented into teaching using technological means at this stage is very rare.Namely
It says, the case for implementing language teaching with independent research AI learning system is very rare；The shape in the AI system of independent research
At fixed teaching process, and the course for detecting and teaching reading method is even more rare.
Summary of the invention
The purpose of the present invention is to provide Chinese language structure reading methods in the adaptive learning based on AI algorithm, on solving
State the problem of proposing in background technique.
To achieve the above object, reading method is applied to Adaptable System by the present invention, detects rapidly by AI algorithm
The raw grasp situation to text structure and content, and learn and consolidate knowledge by way of learning and personalization pushes away topic practice
Point promotes learning efficiency.The invention provides the following technical scheme: Chinese language structure reading side in the adaptive learning based on AI algorithm
Method, the specific steps of which are as follows:
The first step establishes system flow, and the system successively includes that leading test-test question grade and report page-are known
Know point study video-practice link 1- practice link 2- course and reports page；
Second step is tested in advance, prepares 5 examination questions in the system altogether, respectively entitled " easy " (1 grade of label one
Topic), every 4 points of topic；Two entitled " in " (2 grades of topics), every 9 points of topic；Three entitled " hardly possiblies " (3 grades of topics), every 13 points of topic, examination question is for comprehensive
Student is detected to the grasp situation of the knowledge point, is related to all five content modules or multiple modules；
Third step, select test question grade and report page, answer grade is obtained according to student's answer situation after test, divide A,
B, C, D, E, totally five grades；
4th step, play knowledge point learn video, video use recorded broadcast form, explain the concept of knowledge point, thinking of solving a problem,
Related topic type etc. has the function of knowledge point study；
Evaluation and test practice link 1: 5th step prepares the practice of 10 correlations, respectively entitled " easy " (1 grade of label two altogether in system
Topic), three entitled " in " (2 grades of topics), five entitled " hardly possible " (3 grades of topics), every to inscribe 10 points, each problem relates generally to an interior molar
Block, the setting of this link for the related topic type of practical operation and practice knowledge point, while also having inspection after the study of knowledge point
Knowledge point answer level is surveyed, adjustment pushes away the function of topic scheme；
6th step, evaluation and test practice link 2, the examination question total amount and curriculum offering of this link are the same as practice link 1, the setting of this link
After practicing link 1, the grasp for continuing to strengthen knowledge point is horizontal, and leakage detection is filled a vacancy；
7th step, course report page: after finishing " survey-- white silk " link, push report page.
Compared with prior art, the beneficial effects of the present invention are:
1. structure reading method of the invention can guide student to hold article entirety, is conducive to student and is promoted to the whole of article
Realization is known；
2. structure reading method is applied to Adaptable System by the present invention, by the learning process of " survey-- white silk ", formed a
Property push away topic path, can effectively help student promoted read ability and learning efficiency.It is pushed in the process in each stage
Instantly it is best suitable for the examination question of students' learning ability and knowledge point grasp level, reaches consolidation and improves, the learning effect that leakage detection is filled a vacancy；
3. structure reading method is applied to Adaptable System from the point of view of examination level by the present invention, pass through personalized study
Afterwards, it is able to ascend the Grasping level that student acts on paragraph class and article purport (writing intention) class examination question.
4. the present invention from study habit form level from the point of view of, structure reading method is suitable for including utility classes and literature
A variety of styles, the teaching of reading method benefit throughout one's life for student.
Detailed description of the invention
Fig. 1 is overall structure of the present invention；
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
Referring to Fig. 1, Chinese language structure reading method in the adaptive learning based on AI algorithm, the specific steps of which are as follows:
(1) system flow: leading test-test question grade and report page-knowledge point study video-practice link 1- practice
Link 2- course reports page；
1. test in advance: preparing 5 examination questions in system altogether, label one is entitled " easy " (1 grade of topic) respectively, every 4 points of topic；Two topics
For " in " (2 grades of topics), every 9 points of topic；Three entitled " hardly possiblies " (3 grades of topics), every 13 points of topic.For complete detection student to the knowledge point
Situation is grasped, all five content modules or multiple modules are related to.
2. test question grade and report page: answer grade is obtained according to student's answer situation after test, divides A, B, C, D, E,
Totally five grades.It is as shown below that horizontal and ratio is grasped in the corresponding knowledge point of this five grades:
| Grade A | Grade B | Grade C | Grade D | Grade E | |
| Grasp ratio (%) in knowledge point | 85-100 | 75-84 | 65-74 | 55-64 | 0-54 |
| Overall evaluation | It is high | It is higher | It is medium | It is lower | It is low |
3. knowledge point learns video: video uses recorded broadcast form, explains the concept of knowledge point, thinking of solving a problem, related topic type
Deng, have the function of knowledge point study.
4. practice link 1: preparing the practice of 10 correlations in system altogether, label two is entitled " easy " (1 grade of topic) respectively, and three is entitled
" in " (2 grades of topics), five entitled " hardly possiblies " (3 grades of topics).Every 10 points of topic.Each problem relates generally to a content module.This link is set
It sets after the study of knowledge point, the related topic type for practical operation and practice knowledge point.Simultaneously also there is detection knowledge point to answer
Topic is horizontal, and adjustment pushes away the function of topic scheme.
5. practicing link 2: the examination question total amount and curriculum offering of this link are the same as practice link 1.The setting of this link is in practice ring
After section 1, the grasp for continuing to strengthen knowledge point is horizontal, and leakage detection is filled a vacancy.
6. course reports page: after finishing " survey-- white silk " link, push report page.
(2) topic link, quantity and rule are pushed away
1. test in advance: it is as follows to push away topic path according to the answer correctness of student for 3 problems of push:
As shown above, the unified push label difficulty of the first topic tested in advance be " in " examination question (2 grades of topics).If this
Topic answers mistake, then pushes " easy " topic (1 grade of topic).If this topic is answered questions, " problem " (3 grades of topics) is pushed.Equally, what third was inscribed pushes away topic
According to the answer situation of the second topic, topic than the second topic more high or low grade is pushed.The answer situation not shadow of third topic
It rings and pushes away topic path, but answer situation and result are included in the ranking tested in advance.
2. practicing link 1: 3 problems of push select the examination question of appropriate module and difficulty to push according to the score value tested in advance
To user.It pushes away topic foundation and path is as shown below, the examination question type and score value tested in advance are seen above.
| Score | Push away topic combination |
| 21-35 | It is difficult difficult |
| 19-22 | In difficult |
| 14-18 | In in difficulty |
| 10-13 | In in |
| 5-9 | Yi Zhongzhong |
| 0-4 | Yi Yizhong |
3. practicing link 2: 3 problems of push, the knowledge point master rate according to practice link 1 select appropriate module and difficulty
Examination question is pushed to user.Wherein, knowledge point master rate=practice A score/practice A total score.Push away topic foundation and path such as following figure institute
Show.
It although an embodiment of the present invention has been shown and described, for the ordinary skill in the art, can be with
A variety of variations, modification, replacement can be carried out to these embodiments without departing from the principles and spirit of the present invention by understanding
And modification, the scope of the present invention is defined by the appended.
Claims (1)
1. Chinese language structure reading method in the adaptive learning based on AI algorithm, which is characterized in that the specific steps of which are as follows:
The first step establishes system flow, and the system successively includes leading test-test question grade and report page-knowledge point
Learn video-practice link 1- practice link 2- course and reports page；
Second step is tested in advance, prepares 5 examination questions in the system altogether, and label one is entitled " easy " respectively, is inscribed for 1 grade,
Every 4 points of topic；Two entitled " in ", for 2 grades of topics, every 9 points of topic；Three entitled " hardly possiblies ", for 3 grades of topics, every 13 points of topic, examination question is for examining comprehensively
Student is surveyed to the grasp situation of the knowledge point, is related to all five content modules or multiple modules；
Third step, select test question grade and report page, answer grade is obtained according to student's answer situation after test, divide A, B, C,
D, E, totally five grades；
4th step plays knowledge point and learns video, and video uses recorded broadcast form, explains the concept of knowledge point, thinking of solving a problem, correlation
Topic type etc. has the function of knowledge point study；
5th step, evaluation and test practice link 1: preparing the practice of 10 correlations altogether in system, label two is entitled " easy " respectively, inscribes for 1 grade,
Three entitled " in ", for 2 grades of topics, five entitled " hardly possible ", for 3 grades of topics, every to inscribe 10 points, each problem relates generally to a content module,
The setting of this link for the related topic type of practical operation and practice knowledge point, while also having detection after the study of knowledge point
Knowledge point answer is horizontal, and adjustment pushes away the function of topic scheme；
6th step, evaluation and test practice link 2, with practice link 1, this link is arranged in white silk the examination question total amount and curriculum offering of this link
After practising link 1, the grasp for continuing to strengthen knowledge point is horizontal, and leakage detection is filled a vacancy；
7th step, course report page: after finishing " survey-- white silk " link, push report page.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111507872A (en) * | 2020-04-09 | 2020-08-07 | 圆梦共享教育科技(深圳)有限公司 | Artificial intelligence-based accurate test difficulty classification method |
| CN111860121A (en) * | 2020-06-04 | 2020-10-30 | 上海翎腾智能科技有限公司 | Reading ability auxiliary evaluation method and system based on AI vision |
| CN115100911A (en) * | 2022-08-03 | 2022-09-23 | 上海步步为营教育科技有限公司 | Visual auxiliary learning method and device |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101872557A (en) * | 2010-01-13 | 2010-10-27 | 南京凌越教育科技服务有限公司 | Progressive learning management method and progressive learning system |
| US20150125845A1 (en) * | 2013-11-01 | 2015-05-07 | Teracle, Inc. | Server and method for providing learner-customized learning service |
| CN105989555A (en) * | 2015-03-05 | 2016-10-05 | 上海汉声信息技术有限公司 | Language competence test method and system |
| US20170178531A1 (en) * | 2015-12-18 | 2017-06-22 | Eugene David SWANK | Method and apparatus for adaptive learning |
| CN107197038A (en) * | 2017-06-27 | 2017-09-22 | 青岛中科灵云科技有限公司 | A kind of examination question method for pushing based on smart electronicses interactive device |
| CN108831229A (en) * | 2018-03-30 | 2018-11-16 | 上海乂学教育科技有限公司 | A kind of Chinese automatic grading method |
| CN108847076A (en) * | 2018-07-11 | 2018-11-20 | 北京美高森教育科技有限公司 | The assessment method of language learner |
| CN109409742A (en) * | 2018-10-26 | 2019-03-01 | 成佳颖 | A kind of students'autonomous study analysis system and its application method |
-
2019
- 2019-05-13 CN CN201910393464.6A patent/CN110111610A/en not_active Withdrawn
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101872557A (en) * | 2010-01-13 | 2010-10-27 | 南京凌越教育科技服务有限公司 | Progressive learning management method and progressive learning system |
| US20150125845A1 (en) * | 2013-11-01 | 2015-05-07 | Teracle, Inc. | Server and method for providing learner-customized learning service |
| CN105989555A (en) * | 2015-03-05 | 2016-10-05 | 上海汉声信息技术有限公司 | Language competence test method and system |
| US20170178531A1 (en) * | 2015-12-18 | 2017-06-22 | Eugene David SWANK | Method and apparatus for adaptive learning |
| CN107197038A (en) * | 2017-06-27 | 2017-09-22 | 青岛中科灵云科技有限公司 | A kind of examination question method for pushing based on smart electronicses interactive device |
| CN108831229A (en) * | 2018-03-30 | 2018-11-16 | 上海乂学教育科技有限公司 | A kind of Chinese automatic grading method |
| CN108847076A (en) * | 2018-07-11 | 2018-11-20 | 北京美高森教育科技有限公司 | The assessment method of language learner |
| CN109409742A (en) * | 2018-10-26 | 2019-03-01 | 成佳颖 | A kind of students'autonomous study analysis system and its application method |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111507872A (en) * | 2020-04-09 | 2020-08-07 | 圆梦共享教育科技(深圳)有限公司 | Artificial intelligence-based accurate test difficulty classification method |
| CN111507872B (en) * | 2020-04-09 | 2023-04-07 | 圆梦共享教育科技(深圳)有限公司 | Artificial intelligence-based accurate test difficulty classification method |
| CN111860121A (en) * | 2020-06-04 | 2020-10-30 | 上海翎腾智能科技有限公司 | Reading ability auxiliary evaluation method and system based on AI vision |
| CN111860121B (en) * | 2020-06-04 | 2023-10-24 | 上海翎腾智能科技有限公司 | Reading ability auxiliary evaluation method and system based on AI vision |
| CN115100911A (en) * | 2022-08-03 | 2022-09-23 | 上海步步为营教育科技有限公司 | Visual auxiliary learning method and device |
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