CN101488120A - Learning evaluation apparatus and method - Google Patents
Learning evaluation apparatus and method Download PDFInfo
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- CN101488120A CN101488120A CNA2008100035397A CN200810003539A CN101488120A CN 101488120 A CN101488120 A CN 101488120A CN A2008100035397 A CNA2008100035397 A CN A2008100035397A CN 200810003539 A CN200810003539 A CN 200810003539A CN 101488120 A CN101488120 A CN 101488120A
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Abstract
The invention provides a learning assessment device and a method thereof. The learning assessment device comprises a degree detecting module which is provided to a user for the degree detection and is used for judging the degree grade of the user; a curriculum planning module which is used for planning learning curriculum for the user to learn according to the degree grade that is judged by the degree detecting module; a curriculum assessment module which generates assessment subjects according to the learning curriculum. After the user finishes the learning curriculum, learning information is generated for assessing the learning state of the user.
Description
Technical field
The present invention relates to a kind of learning device and method, particularly a kind of learning evaluation apparatus and method.
Background technology
Science and technology is showing improvement or progress day by day, and constantly has new knowledge to produce, and therefore gives birth to the necessary continuous new knowledge of enriching for the modern.In order to cater to modern's busy life, many portable electronic devices with learning functionality appear on the market, and can allow the modern can utilize time in any leisure at any time, to carry out the study of knowledge.Illustrate, the language learn device of general popular the most normal contact, as: the computing machine dictionary.Computing machine dictionary has on the market also increased review function except inquiring about the individual character at present.By review function, can help the user behind a certain English of inquiry or Chinese individual character, can repeat to review this individual character in the time backward, so can increase the familiarity of user, and then this Chinese character memory is got up for this individual character.In addition, some installs except learning functionality, has also increased quiz function, allows the user be that oneself study is graded by testting after class.
Relevant patent as: TaiWan, China is applied for a patent " Portable language monosyllabic word learning device " No. 82207657.Language individual character (speech) learning device of this invention is to use repetitive mode to show individual character (speech) on display screen, to increase the chance of user's study and heat note individual character (speech).The individual character of being stored in the learning device of this invention (speech) is for specific, so do not need complicated input keyboard, use very simple, results of learning for the test user, still can enter test phase by simple key, and can adjust in next stage, the demonstration probability of individual character (speech) according to test result, make the individual character of having remembered reduce the probability of its appearance, and increase the chance of the individual character appearance of not memory.
And TaiWan, China is applied for a patent " system and method thereof that the auxiliary glossary screening of multimedia is reviewed " No. 92107412.This invention is applied to the computing machine dictionary, when the user when carrying out the glossary learning functionality, can be by learning evaluation result's weight proportion arrangement just, produce one and treat the handwriting practicing inventory, and when starting glossary screening review function, the computing machine dictionary can extract and show treats that one of them treats handwriting practicing and corresponding a kind of multi-medium data thereof in the handwriting practicing inventory, for example: multi-medium datas such as voice, picture, animation, this is treated the memory of handwriting practicing to deepen the user, and reach the purpose that the glossary screening is reviewed.
Yet conventional art and above-mentioned relevant patent have following problem:
On the conventional art, when the user carries out learning functionality, do not carry out user's degree analyzing at the beginning, be fit to that a kind of learned lesson with the present degree of understanding the user.
Finish the test that the back is carried out at learned lesson, the test result that obtains is very simple usually, can't allow the real learning rate of understanding present remember condition, study schedule, each problem (individual character) of user etc.
After test finishes after class, can't store, allow the user can be, and review again with the raising learning rate again with its adding when learning next time at some problem below the learning rate.
Therefore, how solving the problem of above-mentioned learning device, to increase user's learning efficiency, is a subject under discussion anxious to be solved.
Summary of the invention
In view of this present invention proposes a kind of learning evaluation apparatus and method.At the beginning of study, can judge user's degree earlier, and according to the selected learned lesson that is fit to of user's degree.And in learned lesson carries out or after finishing, the assessment that can learn to produce a detailed learning information, provides the clear understanding of user present learning state.
The present invention proposes a kind of learning evaluation apparatus, comprises: the degree detecting module provides the user to make degree detecting, in order to judge user's intensity grade; The course planning module, according to the intensity grade that the degree detecting module is judged, the planning learned lesson gives user's study; The course evaluation module produces the assessment exercise question according to learned lesson, and this user produces learning information after finishing the assessment exercise question, with assessment user's learning state.
The present invention proposes a kind of learning evaluation method again, comprises the following step: provide the user to make degree detecting, in order to judge user's intensity grade; According to intensity grade, the planning learned lesson gives user's study; Produce the assessment exercise question according to learned lesson, the user produces learning information after finishing the assessment exercise question, with assessment user's learning state.
Relevant the preferred embodiments of the present invention and effect thereof, existing conjunction with figs. explanation as after.
Description of drawings
Fig. 1 is the first embodiment synoptic diagram of learning evaluation apparatus;
Fig. 2 is the second embodiment synoptic diagram of learning evaluation apparatus;
Fig. 3 is learning rate synoptic diagram (one);
Fig. 4 is learning rate synoptic diagram (two);
Fig. 5 is the learning curve synoptic diagram;
Fig. 6 is the learning evaluation method flow diagram.
Wherein, description of reference numerals is as follows:
10: the degree detecting module
12: the degree exam pool
14: analytic unit
20: the course planning module
30: the course evaluation module
32: memory module
Embodiment
Please refer to Fig. 1, this figure is depicted as the first embodiment synoptic diagram of learning evaluation apparatus.Learning evaluation apparatus of the present invention comprises: degree detecting module 10, course planning module 20 and course evaluation module 30.
Learning evaluation apparatus of the present invention by the answer assessment exercise question relevant with this learned lesson, and allows the user understand present learning state after the user receives a learned lesson.Before each user's learned lesson is provided, can utilize degree detecting module 10 to provide the user to make degree detecting earlier, in order to judge user's intensity grade.So, can provide the learned lesson that is fit to each user's individual level grade, can make the follow-up learning evaluation result who works it out, more can represent the learning state of user's reality.
Please refer to Fig. 2, it is the second embodiment synoptic diagram of learning evaluation apparatus.Wherein, degree detecting module 10 comprises: degree exam pool 12 and analytic unit 14.
In order to detect user's intensity grade, therefore storage and each intensity grade a plurality of degree exercise questions in correspondence with each other in degree exam pool 12.Illustrate, in the present invention with intensity grade by 3 grades～university of primary school 4 grades, be one-level with each grade, intensity grade is divided into 14 grades, but not as limit.
Analytic unit 14 extracts corresponding degree exercise question by degree exam pool 12, in order to the test user according to initial degree.Wherein, initial degree is except can also being ordered certainly by the user by the systemic presupposition.The present invention proposes a kind of method of the user's of detection intensity grade, when analytic unit 14 extracts with the corresponding degree exercise question of initial degree, if the user answers questions this degree exercise question, just can increase by a ranking score number, and extract and to be higher than the degree exercise question of present intensity grade, and test the user once more.On the other hand, if the user answers wrong degree exercise question, just can reduce rating fraction, and extract and to be lower than the degree exercise question of present intensity grade, and test the user once more.So repeat above-mentioned step, till rating fraction arrives threshold score.When the user by continuous answer degree exercise question, and when the accumulation of the integration of rating fraction arrived threshold score, can confirm the intensity grade that the user is present.In addition, detect in the method for user's intensity grade, if the user at the degree exercise question answer not can the time, can set the action that rating fraction does not have increase and decrease, just remain unchanged, and extract the degree exercise question that is lower than present intensity grade, continue the test user.
Learn user's intensity grade by degree detecting module 10 after, the intensity grade that course planning module 20 just can be judged according to degree detecting module 10, the planning learned lesson gives user's study.Wherein, learned lesson can be multiple different type, to satisfy each user's learning demand, for example: multiple learned lessons such as multi-lingual, multinational history, multinational geography, mathematics.
The learned lesson that course evaluation module 30 is cooked up according to course planning module 20 produces the assessment exercise question, that is to say that the assessment exercise question can change to some extent along with the difference of learned lesson.In addition, the assessment exercise question that course evaluation module 30 is produced can be by the downloaded of outside, though and according to identical learned lesson, can be by the different assessment exercise question of downloaded.Thereby, can, but can practise and do different tests by downloaded to different assessment exercise questions though accomplish the user with identical learned lesson download evaluation exercise question.Perhaps, also can be according to same learned lesson, and do test simultaneously, similar general examination situation by the different assessment exercise question of downloaded by many people.
The user can be in course carries out or any time behind the End-of-Course, carries out this assessment exercise question at any time, and after the user finishes this assessment exercise question, can produce a learning information, can be in order to assess this user's learning state.Therefore, on conventional art, the user can't understand present learning state in course carries out, and can be improved in the present invention, that is to say that the user can understand the learning state of oneself at any time in learned lesson carries out.
When the user finishes the assessment exercise question, the learning information that course evaluation module 30 is produced can comprise multiple related data, so that allow the user understand present learning state by this learning information.For example, learning information can comprise test result, after the test through the assessment exercise question, produce a test result, allow the user understand own present learning state easily, just as participating in any examination, when receiving school report, can find out for this section's purpose learning state by school report.
Please refer to Fig. 3, it is learning rate synoptic diagram (one).Learning information also can comprise a plurality of learning rates, adds up the assessment exercise question that the user finished, and each assessment exercise question is dispensed to corresponding learning rate.By finding out among Fig. 3, learning rate is divided into 10 grades (0～10%, 11～20%...91～100%), but not as limit.When the user finishes the assessment exercise question,, and each assessment exercise question is dispensed to corresponding learning rate at the answer state of each assessment exercise question according to the user.Therefore, the bar chart among the figure is each interval learning rate, and bar chart is added up the quantity of the assessment exercise question that each learning rate comprises.The assessment exercise question that learning rate is high more represents the user good more for the memory degree of these assessment exercise questions.Relative, the assessment exercise question that learning rate is low more represents the user poor more for the memory degree of these assessment exercise questions.
Please continue with reference to Fig. 2, at the assessment exercise question below a certain specific learning rate, the present invention has also comprised memory module 32.When the user finishes the assessment exercise question and after learning learning rate, because the lower assessment exercise question of learning rate represents the user relatively poor for the memory degree of these assessment exercise questions, represents need add more exercise to increase the memory degree.So, can utilize the following assessment exercise question of the memory module a certain specific learning rate of 32 storages, can practise once more so that the user to be provided by extracting these assessment exercise questions in the memory module 32 afterwards, allow the user with the more unfamiliar assessment exercise question of script, by repeatedly practising improving its learning rate.Wherein, a certain specific learning rate can be ordered certainly by systemic presupposition or by the user.
Please refer to Fig. 4, it is learning rate synoptic diagram (two).When the user selects some learning rates, the assessment exercise question that can watch this learning rate to comprise.Fig. 4 is that example explains with English-word study, when the user clicks some bar charts in the learning rate, just can show the relevant single word information that is comprised in this learning rate, for example: Chinese and English individual character contrast, individual character attribute etc.Therefore, the user is by clicking learning rate, and the assessment exercise question that just can watch each learning rate to comprise respectively can be understood learning state more.
Please refer to Fig. 5, it is the learning curve synoptic diagram.Learning information also can comprise learning curve and at least one ideal curve, by the relative position of learning curve and ideal curve, can understand user's study condition.With Fig. 5 is that example explains, but not as limit, comprises 3 desirable curves among the figure, is respectively excellent, first-class and the second grade.Along with increasing progressively of transverse axis course number among the figure, user's learning curve also can change, finish the assessment exercise question of each learned lesson after, can recomputate mark at learning curve.Therefore, after finishing the corresponding assessment exercise question of each learned lesson, the user can know and know present study schedule by the relative position of learning curve and ideal curve.
Please refer to Fig. 6, this figure is depicted as the learning evaluation method flow diagram, comprises the following step.
Step S10: provide the user to make degree detecting, in order to judge user's intensity grade.Wherein, the step of degree detecting can comprise: storage is corresponding to a plurality of degree exercise questions of each intensity grade; According to initial degree, extract corresponding degree exercise question, in order to the test user.Initial degree herein can be by the user from ordering.
When the user answers questions the degree exercise question, can increase by a ranking score number, and extract and to be higher than the degree exercise question of present intensity grade, and test this user once more.Relative, if the user answers wrong degree exercise question, just can reduce this ranking score number, and extract and be lower than the degree exercise question of present intensity grade, and test this user once more.Repeat above-mentioned step, up to this ranking score count to reach threshold score till, just can learn user's intensity grade this moment.
Step S20: according to intensity grade, the planning learned lesson gives user's study.Wherein, learned lesson can comprise the course of number of different types, to satisfy different users's demand.
Step S30: produce the assessment exercise question according to learned lesson.Assessment exercise question herein can be by the downloaded of outside, though and according to identical learned lesson, can be by the different assessment exercise question of downloaded.The user produces learning information after finishing the assessment exercise question, with assessment user's learning state.Wherein, learning information can comprise test result, learning rate or learning curve etc.
Add up the assessment exercise question that the user finished, and each assessment exercise question is dispensed to corresponding learning rate.And by selecting learning rate, the assessment exercise question that can watch each learning rate to comprise respectively.At the lower assessment exercise question of learning rate, because the expression remember condition is not good, therefore can be by the following assessment exercise question of a certain specific learning rate of storage, when next course or user need, provide it to the user again and review again, to strengthen remembering and then promoting the learning rate of this assessment exercise question.
At the part of learning curve, also comprise at least one ideal curve, and the relative position by learning curve and ideal curve, understand user's study condition.For example, suppose that ideal curve is respectively excellent, first-class and 3 curves of the second grade,, promptly represent user's learning state outstanding when learning curve is positioned at excellent desirable zone of learning more than the line; Be positioned at zone first-class and that excellent ideal curve comprised, represent user's learning state good; Be positioned at zone first-class and that the second grade ideal curve is comprised, represent user's learning state common; Be positioned at the following zone of the second grade ideal curve, represent learning state not good.Therefore, can allow the user understand present study condition by learning curve.
Though technology contents of the present invention discloses as above with preferred embodiment; yet it is not in order to limit the present invention; any technician who is familiar with this technology; do not breaking away from some changes and retouching that spirit of the present invention is done; all should be covered by in the claim category of the present invention, so protection scope of the present invention should be as the criterion with accompanying claims.
Claims (13)
1. learning evaluation apparatus comprises:
One degree detecting module provides a user to make degree detecting, in order to judge this user's a intensity grade;
One course planning module according to this intensity grade that this degree detecting module is judged, plans that a learned lesson gives this user's study; And
One course evaluation module produces an assessment exercise question according to this learned lesson, and this user produces a learning information after finishing this assessment exercise question, to assess this user's learning state.
2. learning evaluation apparatus as claimed in claim 1, wherein this degree detecting module comprises:
One degree exam pool, storage is corresponding to a plurality of degree exercise questions of each this intensity grade; And
One analytic unit according to an initial degree, extracts corresponding this degree exercise question by this degree exam pool, in order to test this user.
3. learning evaluation apparatus as claimed in claim 2, this analytic unit wherein, answer questions this degree exercise question in this user, increase by a ranking score number, and extract this degree exercise question that is higher than present this intensity grade, answer wrong this degree exercise question in this user, reduce this ranking score number, and extract and to be lower than this degree exercise question of this intensity grade at present, and test this user once more, up to this ranking score count to reach a threshold score till.
4. learning evaluation apparatus as claimed in claim 1, wherein this assessment exercise question of being produced of this course evaluation module is by a downloaded, though and can be by this different assessment exercise question of this downloaded according to this identical learned lesson.
5. learning evaluation apparatus as claimed in claim 1, wherein this learning information comprises a test result.
6. learning evaluation apparatus as claimed in claim 1, wherein this learning information comprises:
A plurality of learning rates are added up this assessment exercise question that this user finishes, and each this assessment exercise question is dispensed to corresponding this learning rate.
7. learning evaluation apparatus as claimed in claim 6, wherein this user is by selecting this learning rate, this assessment exercise question that can watch each this learning rate to comprise respectively.
8. learning evaluation apparatus as claimed in claim 6 also comprises:
One memory module is stored the following assessment exercise question of a certain this learning rate.
9. learning evaluation apparatus as claimed in claim 1, wherein this learning information comprises:
One learning curve; And
At least one ideal curve by the relative position of this learning curve and this ideal curve, is understood this user's study condition.
10. learning evaluation method comprises the following step:
Provide a user to make degree detecting, in order to judge this user's a intensity grade;
According to this intensity grade, plan that a learned lesson gives this user's study; And
Produce an assessment exercise question according to this learned lesson, this user produces a learning information after finishing this assessment exercise question, to assess this user's learning state.
11. learning evaluation method as claimed in claim 10, wherein the step of degree detecting comprises:
Storage is corresponding to a plurality of degree exercise questions of each this intensity grade;
According to an initial degree, extract corresponding this degree exercise question, in order to test this user;
When this user answers questions this degree exercise question, increase by a ranking score number, and extract this degree exercise question that is higher than present this intensity grade;
When this user answers wrong this degree exercise question, reduce this ranking score number, and extract this degree exercise question that is lower than present this intensity grade; And
Test this user once more, up to this ranking score count to reach a threshold score till.
12. learning evaluation method as claimed in claim 10, wherein this learning information comprises:
A plurality of learning rates are added up this assessment exercise question that this user finishes, and each this assessment exercise question is dispensed to corresponding this learning rate.
13. learning evaluation method as claimed in claim 10, wherein this learning information comprises:
One learning curve; And
At least one ideal curve by the relative position of this learning curve and this ideal curve, is understood this user's study condition.
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Cited By (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103578310A (en) * | 2012-08-08 | 2014-02-12 | 袁正华 | Cloud learning system for strengthening according to degrees or abilities |
| CN104978630A (en) * | 2015-06-19 | 2015-10-14 | 百度在线网络技术（北京）有限公司 | Intelligent test method and apparatus |
| CN105070130A (en) * | 2015-08-04 | 2015-11-18 | 北京优宇通教育科技有限公司 | Level assessment method and level assessment system |
| CN106097815A (en) * | 2016-06-01 | 2016-11-09 | 北京快乐智慧科技有限责任公司 | Grading approach and device |
| CN106409024A (en) * | 2016-08-31 | 2017-02-15 | 北京哥大诺博教育科技股份有限公司 | Children' adaptive ability improvement system and method |
| CN106469428A (en) * | 2016-08-31 | 2017-03-01 | 北京哥大诺博教育科技股份有限公司 | The system and method for the lifting infant mathematics ability based on number axis |
| CN107977909A (en) * | 2016-10-25 | 2018-05-01 | 财团法人资讯工业策进会 | Learning planning method and learning planning system with automatic generation mechanism of personalized learning path |
| CN108932246A (en) * | 2017-05-24 | 2018-12-04 | 肖方良 | User's on-line study capability evaluation and topic recommended method and system |
| CN110136498A (en) * | 2018-02-08 | 2019-08-16 | 上海趣烁科技有限公司 | A kind of break-through formula interaction curriculum system based on study plan |
| CN111081097A (en) * | 2019-12-30 | 2020-04-28 | 郑州工程技术学院 | Political propaganda and ideological education platform system |
| CN112015783A (en) * | 2020-08-30 | 2020-12-01 | 上海松鼠课堂人工智能科技有限公司 | Interactive learning process generation method and system |
| CN112435515A (en) * | 2020-11-26 | 2021-03-02 | 江西台德智慧科技有限公司 | Artificial intelligence education robot |
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2008
- 2008-01-18 CN CNA2008100035397A patent/CN101488120A/en active Pending
Cited By (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103578310A (en) * | 2012-08-08 | 2014-02-12 | 袁正华 | Cloud learning system for strengthening according to degrees or abilities |
| CN104978630A (en) * | 2015-06-19 | 2015-10-14 | 百度在线网络技术（北京）有限公司 | Intelligent test method and apparatus |
| CN105070130A (en) * | 2015-08-04 | 2015-11-18 | 北京优宇通教育科技有限公司 | Level assessment method and level assessment system |
| CN106097815A (en) * | 2016-06-01 | 2016-11-09 | 北京快乐智慧科技有限责任公司 | Grading approach and device |
| CN106409024A (en) * | 2016-08-31 | 2017-02-15 | 北京哥大诺博教育科技股份有限公司 | Children' adaptive ability improvement system and method |
| CN106469428A (en) * | 2016-08-31 | 2017-03-01 | 北京哥大诺博教育科技股份有限公司 | The system and method for the lifting infant mathematics ability based on number axis |
| CN107977909A (en) * | 2016-10-25 | 2018-05-01 | 财团法人资讯工业策进会 | Learning planning method and learning planning system with automatic generation mechanism of personalized learning path |
| CN108932246A (en) * | 2017-05-24 | 2018-12-04 | 肖方良 | User's on-line study capability evaluation and topic recommended method and system |
| CN110136498A (en) * | 2018-02-08 | 2019-08-16 | 上海趣烁科技有限公司 | A kind of break-through formula interaction curriculum system based on study plan |
| CN111081097A (en) * | 2019-12-30 | 2020-04-28 | 郑州工程技术学院 | Political propaganda and ideological education platform system |
| CN112015783A (en) * | 2020-08-30 | 2020-12-01 | 上海松鼠课堂人工智能科技有限公司 | Interactive learning process generation method and system |
| CN112015783B (en) * | 2020-08-30 | 2021-07-16 | 上海松鼠课堂人工智能科技有限公司 | Interactive learning process generation method and system |
| CN112435515A (en) * | 2020-11-26 | 2021-03-02 | 江西台德智慧科技有限公司 | Artificial intelligence education robot |
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Open date: 20090722 |