CN104867075A - Online learning evaluating system and online learning evaluating method - Google Patents
Online learning evaluating system and online learning evaluating method Download PDFInfo
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Abstract
The invention relates to an online learning evaluating system, which comprises an atlas unit, a test question unit, an evaluating unit and a result unit, wherein the atlas unit comprises one or a plurality of knowledge points and an association relationship of the one knowledge point or an association relationship among the plurality of knowledge points; the test question unit comprises one or a plurality of test questions to be tested; each test question to be tested is bound with one or the plurality of knowledge points in the knowledge points; the score of each of the test question to be tested is determined according to the association relationship between each of the test question to be tested and the knowledge point(s); the evaluating unit selects partial or all test questions to be tested from the test questions to be tested to be used as evaluating test questions according to the score, and submits the evaluating test questions to an evaluated person for evaluation; and the result unit is used for generating an evaluating result report according to the evaluating result of the evaluated person. Compared with the prior art, the online learning evaluating system has the advantages that the evaluated person can visually know the insufficiency of self knowledge point mastering; the evaluated knowledge points are mutually associated; and the source tracing on the learned knowledge points is really realized.
Description
Technical field
The present invention relates to online training field, particularly relate to a kind of online learning evaluating system and evaluating method.
Background technology
Online learning is along with the fast development of computer utility and Internet technology, and enter the life of people gradually as a kind of new mode of learning, wherein, Online Judge system is important component part in online learning process.By evaluation and test, evaluation and test person can understand self grasp situation to content fast.But current Online Judge system, is set a question separately based on a certain knowledge point, isolates each other between examination question, milli is uncorrelated; Simultaneously, the Grasping level of test result to tester's knowledge concepts is difficult to distinguish, what evaluation and test person obtained is the report of accessment and test that portion comprises that situation is grasped in a series of single knowledge point, the incidence relation between evaluation and test knowledge point cannot be found out from evaluation result by evaluation and test person, thus cannot do systematized analysis from root for the bad knowledge point of grasp, also cannot understand further and which knowledge point be needed strengthening further and study by evaluation and test person in.
Therefore, need a kind of comprehensively online learning evaluating system, the relation between the knowledge point of test is showed with the form of collection of illustrative plates, and demonstrates in report of accessment and test by grasp blind area, evaluation and test person knowledge point.
Summary of the invention
In order to solve the problem, the object of the present invention is to provide a kind of novel online learning evaluating system, solving at least one aspect in the problems referred to above.
According to an aspect of the present invention, the invention provides a kind of online learning evaluating system, comprising:
Tupu unit, comprises one or more knowledge point, and the incidence relation between described one or more knowledge point;
Examination question unit, comprises one or more examination question to be measured, the one or more bindings in examination question to be measured described in each and described knowledge point, and contacts according to examination question to be measured described in each and described knowledge point the score value determining examination question to be measured described in each;
Evaluation and test unit, selects part or all of examination question to be measured as evaluation and test examination question according to described score value, and transfers to be evaluated and tested by evaluation and test person from described examination question to be measured;
Result unit, generates an evaluation result according to the described evaluation result by evaluation and test person and reports.
In some embodiments, described Tupu unit comprises graphical module, shows the direct or indirect incidence relation in knowledge point described in each and other knowledge points.
In some embodiments, described examination question unit comprises binding module, one or more in examination question to be measured described in each and described knowledge point is bound in tag form.
In some embodiments, knowledge point described in each has a knowledge point score value; The score value of examination question to be measured described in each is the knowledge point score value sum of all knowledge points of binding with described examination question to be measured.
In some embodiments, described evaluation and test unit comprises: pretreatment module, selects the examination question all to be measured bound with described knowledge point to be measured based on a knowledge point to be measured, and by described score value to the examination question sequence to be measured after selection; Examination question generation module, based on the examination question to be measured after sequence, selects wherein randomly ordered partly or entirely as actual evaluation and test examination question; Execution module, to being provided described reality evaluation and test examination question by evaluation and test person.
In some embodiments, described pretreatment module also chooses the knowledge point that is associated with described knowledge point to be measured as additional knowledge point, and selects the examination question all to be measured bind with described additional knowledge point, and sorts to the examination question to be measured after selecting by described score value.
In some embodiments, described knowledge point to be measured and the direct correlation of described additional knowledge point.
In some embodiments, described result unit comprises: pass judgment on module, mark to by the evaluation result of evaluation and test person; Analysis and processing module, marks all knowledge points evaluated and tested in described graphical module, and the evaluation and test situation of all knowledge points evaluated and tested.
In some embodiments, described mark comprises: mark different knowledge point with different graphic; Different evaluation and test situation is marked with different colours.
The invention also discloses a kind of online learning evaluating method, comprise the following steps:
S100: set up a knowledge mapping according to one or more knowledge point and incidence relation thereof;
S200: the examination question to be measured according to binding with knowledge point sets up test item bank, and determines the score value of each examination question to be measured;
S300: the examination question to be measured bound with described knowledge point based on a knowledge point screening;
S400: select part or all of examination question as evaluation and test examination question from examination question to be measured according to score value;
S500: perform evaluation and test to by evaluation and test person;
S600: treatment and analysis is carried out to the result of evaluation and test;
S700: generate an evaluation result according to the described evaluation result by evaluation and test person and report.
The present invention compared with prior art, not only can be recognized the deficiency that self to which knowledge point grasps intuitively by evaluation and test person; And the knowledge point of evaluation and test is interrelated, real realization tracing to its source to knowledge point.
Accompanying drawing explanation
Fig. 1 is online learning of the present invention evaluation and test schematic flow sheet.
Embodiment
Below in conjunction with accompanying drawing and specific embodiment, the invention will be further described.
The invention discloses a kind of online learning evaluating system, comprise Tupu unit, examination question unit, evaluation and test unit and result unit.
Wherein, one or more knowledge point is included in Tupu unit, owing to may there is certain relation between knowledge point, then in Tupu unit, also include the direct or indirect relation in each knowledge point and other knowledge points, then from Tupu unit, the relation between all knowledge points to be measured can be recognized clear, intuitively.The incidence relation of each knowledge point needs system formulates person manually adds appointment in system above, as determined in knowledge mapping, knowledge point A and knowledge point B is direct correlation, and connect the mark as direct correlation using two knowledge point straight lines, such as knowledge point A ' and knowledge point B ' are indirect association again, then connect the mark as indirect association using two knowledge point dotted lines.The interrelational form of above graphical module is only and illustrates, not knowledge mapping is set up to the restriction of mode.
Based on Tupu unit, examination question unit includes one or more examination question to be measured, each examination question to be measured is all bound with one or more knowledge point, such as, that investigate in examination question a to be measured is knowledge point A and knowledge point B, then knowledge point A and knowledge point B has all bound this examination question a to be measured, and the knowledge point of simultaneously binding according to each examination question to be measured, determines the score value of each examination question to be measured.As above-mentioned for embodiment in, examination question a to be measured and knowledge point A and knowledge point B bound, then according to the significance level of the knowledge point of binding, give examination question a mono-score value to be measured.In one preferred embodiment, give each knowledge point one score value respectively, then bind the score value sum having the score value of the examination question to be measured of knowledge point to be bound knowledge point.Thus, according to the concept of score value, can will contact the closest with a certain knowledge point, investigate test question the most closely and filter out, solve the problem cannot knowing relevance between examination question and knowledge point.
In above-described embodiment, the binding of examination question to be measured and knowledge point completes by a binding module.Particularly, binding module gives each evaluation and test examination question one or more label, and each label record has the knowledge point associated with this evaluation and test examination question.Then when needing the binding relationship set up between knowledge point and examination question, only need read the label comprised in examination question, just can know examination question and which Knowledge Relation.Meanwhile, also in knowledge mapping, all examination questions be associated with a certain knowledge point can be gone out by quick-searching.
Evaluation and test unit will select part or all of examination question as evaluation and test examination question according to score value subsequently from examination question to be measured, thus transfer to be evaluated and tested by evaluation and test person.Particularly, evaluation and test unit includes a pretreatment module, and pretreatment module, according to the knowledge point to be measured selected by evaluation and test person, picks out the examination question all to be measured that knowledge point to be measured with this is bound, and according to aforesaid score value to the test question sequence after selection.As previously described in a prior embodiment, the score value of each examination question to be measured is the score value sum that binding has all knowledge points, then can carry out examination question sequence according to the score value calculated after score value sum.Those of skill in the art would appreciate that carrying out sequence according to score value sum described in the present embodiment is a preferred mode, also can only sort based on the score value including a certain knowledge point, can need to change adjustment according to test.After having sorted, evaluation and test unit also includes examination question generation module, selects part or all of examination question according to test duration and test request in the examination question after sequence, as reality evaluation and test examination question, subsequently reality evaluation and test examination question is upset at random, to be formed finally towards by the examination question of evaluation and test person.Then, reality is evaluated and tested examination question and is presented to by evaluation and test person by the execution module that evaluation and test unit comprises.
In one preferred embodiment, when needing when being investigated the grasp what state of other knowledge points be associated with a certain knowledge point by evaluation and test person, pretreatment module is after sorting to test examination question, also using according to the knowledge point be associated with knowledge point to be measured of recording in knowledge mapping unit as additional knowledge point, then, repeat the above-mentioned mode of operation selecting examination question according to knowledge point, select all test questions bound with additional knowledge point, and again according to score value, the test examination question after selection is sorted.Known is, according to time and the volume of test, can select with the knowledge point of knowledge point to be measured direct correlation as additional knowledge point, also or select and the knowledge point of knowledge point to be measured indirect association as additional knowledge point, or aforementioned both all elect, optimal test mode can be selected according to by the test request of evaluation and test person.
After being tested evaluation and test examination question by evaluation and test person, the result unit of online learning evaluating system generates a report by according to the answer evaluated and tested and result.Particularly, result unit comprises a judge module, corrects, and mark according to correct option to by the evaluation and test of evaluation and test person; Also include an analysis and processing module, by all knowledge points on mark in the graphical module of Tupu unit involved by this evaluation and test of evaluation and test person, and the scoring event of each knowledge point evaluated and tested.The benefit of this mark is, after establishing graphical module, no longer take a simple mark by evaluation and test person, but obtain higher from error rate on which knowledge point according to the wrong part of evaluation and test, on which knowledge point, the good situation of Grasping level, really achieves tracing to its source to knowledge point.
In one preferred embodiment, above-mentioned mark specifically includes: adopt different graphic to represent the different knowledge points of investigation, as adopted the circular topmost knowledge point that this evaluation and test will be investigated that represents, adopt square to represent and the main knowledge point direct correlation of circle markings or the additional knowledge point of indirect association, then from this mask method, can be found out that this investigates the proportion and emphasis distribution situation occupied in whole knowledge mapping by evaluation and test person.For by the grasp situation of evaluation and test person to knowledge point, classification annotation can be carried out, such as, according to the height of score at the scoring event of each evaluation and test knowledge point according to by evaluation and test person, higher to score, grasp good knowledge point and adopt green mark, medium to score, grasp general knowledge point and adopt yellow mark, lower to score, grasp poor knowledge point and adopt red mark, then, in knowledge mapping, the grasp situation on all knowledge points can be clear that.Finally in conjunction with knowledge point mark and evaluation and test situation mark, in knowledge mapping after mark, show by evaluation and test person to whole evaluation and test knowledge point intuitively, the investigation situation of qualitative, quantitative, at comprehensive system to being tested relief by evaluation and test person and to be recognized by evaluation and test person self deficiency.
The invention also discloses the evaluating method of this evaluating system, include following steps:
S100: set up a knowledge mapping according to the knowledge point of required test and the relation between each knowledge point and other knowledge points, this knowledge mapping includes the arrangement of all knowledge points, and the explanation of correlation degree between knowledge point, as straight line represents direct correlation, dotted line represents indirect association etc.;
S200: the knowledge point will investigated according to examination question to be measured, binds each knowledge point and test examination question, thus sets up test item bank, simultaneously, give each knowledge point one score value, the score value of the knowledge point of being bound by each test question is added, and the score value sum obtained is the score value of test question;
S300: determine knowledge point to be measured, thus the examination question to be measured that screening and knowledge point are bound;
S400: after screening, selects to evaluate and test examination question with part or all of examination question as reality based on a knowledge point to be investigated from the selection result;
S500: according to reality evaluation and test examination question, selectively upset examination question, and perform evaluation and test to by evaluation and test person;
S600: after being completed examination question by evaluation and test person, marks to the result of evaluation and test, and carries out analyzing and processing to by evaluation and test person at scoring event that is a certain or some knowledge point;
S700: after above-mentioned analyzing and processing, generates an evaluation result report, shows by evaluation and test person in grasp situation that is a certain or some knowledge point, and the scoring event of the knowledge point first associated with this knowledge point and grasp situation.
After adopting above-mentioned evaluating method, the knowledge point of all evaluation and tests and examination question are all interrelated, can systematically be understood inadequate from what grasp on which knowledge point by evaluation and test person.
These are only some embodiments of the present invention, to those skilled in the art, without departing from the concept of the premise of the invention, also can carry out some distortion and improvement, these all belong to scope.
Claims (10)
1. an online learning evaluating system, is characterized in that, comprising:
Tupu unit, comprises one or more knowledge point, and the incidence relation between described one or more knowledge point;
Examination question unit, comprises one or more examination question to be measured, the one or more bindings in examination question to be measured described in each and described knowledge point, and contacts according to examination question to be measured described in each and described knowledge point the score value determining examination question to be measured described in each;
Evaluation and test unit, selects part or all of examination question to be measured as evaluation and test examination question according to described score value, and transfers to be evaluated and tested by evaluation and test person from described examination question to be measured;
Result unit, generates an evaluation result according to the described evaluation result by evaluation and test person and reports.
2. a kind of online learning evaluating system according to claim 1, it is characterized in that, described Tupu unit comprises graphical module, shows the direct or indirect incidence relation in knowledge point described in each and other knowledge points.
3. a kind of online learning evaluating system according to claim 1, it is characterized in that, described examination question unit comprises binding module, one or more in examination question to be measured described in each and described knowledge point is bound in tag form.
4. a kind of online learning evaluating system according to claim 1, it is characterized in that, knowledge point described in each has a knowledge point score value; The score value of examination question to be measured described in each is the knowledge point score value sum of all knowledge points of binding with described examination question to be measured.
5. a kind of online learning evaluating system according to claim 1, it is characterized in that, described evaluation and test unit comprises: pretreatment module, selects the examination question all to be measured bound with described knowledge point to be measured based on a knowledge point to be measured, and by described score value to the examination question sequence to be measured after selection; Examination question generation module, based on the examination question to be measured after sequence, selects wherein randomly ordered partly or entirely as actual evaluation and test examination question; Execution module, to being provided described reality evaluation and test examination question by evaluation and test person.
6. a kind of online learning evaluating system according to claim 5, it is characterized in that, described pretreatment module also chooses the knowledge point that is associated with described knowledge point to be measured as additional knowledge point, and the examination question all to be measured that selection and described additional knowledge point are bound, and by described score value to the examination question sequence to be measured after selection.
7. a kind of online learning evaluating system according to claim 5, is characterized in that, described knowledge point to be measured and the direct correlation of described additional knowledge point.
8. a kind of online learning evaluating system according to claim 1, it is characterized in that, described result unit comprises: pass judgment on module, mark to by the evaluation result of evaluation and test person; Analysis and processing module, marks all knowledge points evaluated and tested in described graphical module, and the evaluation and test situation of all knowledge points evaluated and tested.
9. a kind of online learning evaluating system according to claim 8, it is characterized in that, described mark comprises: mark different knowledge point with different graphic; Different evaluation and test situation is marked with different colours.
10. an online learning evaluating method, is characterized in that, comprises the following steps:
S100: set up a knowledge mapping according to one or more knowledge point and incidence relation thereof;
S200: the examination question to be measured according to binding with knowledge point sets up test item bank, and determines the score value of each examination question to be measured;
S300: the examination question to be measured bound with described knowledge point based on a knowledge point screening;
S400: select part or all of examination question as evaluation and test examination question from examination question to be measured according to score value;
S500: perform evaluation and test to by evaluation and test person;
S600: treatment and analysis is carried out to the result of evaluation and test;
S700: generate an evaluation result according to the described evaluation result by evaluation and test person and report.
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| CN105574210A (en) * | 2016-02-02 | 2016-05-11 | 广东小天才科技有限公司 | Method and system for pushing and reviewing knowledge blocks |
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| CN105913352A (en) * | 2016-04-06 | 2016-08-31 | 福建海博文化产业发展有限公司 | Campus reading test evaluation method and system |
| CN106156335A (en) * | 2016-07-07 | 2016-11-23 | 苏州大学 | A kind of discovery and arrangement method and system of teaching material knowledge point |
| CN106448310A (en) * | 2016-09-27 | 2017-02-22 | 武汉圣达信教育科技有限公司 | Internet-based online evaluation system |
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| CN106611530A (en) * | 2015-10-23 | 2017-05-03 | 北大方正集团有限公司 | An information processing method and system |
| CN105574210A (en) * | 2016-02-02 | 2016-05-11 | 广东小天才科技有限公司 | Method and system for pushing and reviewing knowledge blocks |
| CN105844996B (en) * | 2016-04-06 | 2019-03-29 | 福建书香联萌教育科技有限公司 | A kind of reading evaluation method and system based on big data |
| CN105844996A (en) * | 2016-04-06 | 2016-08-10 | 福建海博文化产业发展有限公司 | Reading evaluation method based on big data and system |
| CN105913352A (en) * | 2016-04-06 | 2016-08-31 | 福建海博文化产业发展有限公司 | Campus reading test evaluation method and system |
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| CN106156335A (en) * | 2016-07-07 | 2016-11-23 | 苏州大学 | A kind of discovery and arrangement method and system of teaching material knowledge point |
| CN107665472B (en) * | 2016-07-27 | 2021-06-25 | 科大讯飞股份有限公司 | Learning path planning method and device |
| CN107665472A (en) * | 2016-07-27 | 2018-02-06 | 科大讯飞股份有限公司 | Learning path planning method and device |
| CN106448310A (en) * | 2016-09-27 | 2017-02-22 | 武汉圣达信教育科技有限公司 | Internet-based online evaluation system |
| CN109255031A (en) * | 2018-09-20 | 2019-01-22 | 苏州友教习亦教育科技有限公司 | The data processing method of knowledge based map |
| CN109255031B (en) * | 2018-09-20 | 2022-02-11 | 苏州友教习亦教育科技有限公司 | Data processing method based on knowledge graph |
| CN109859553A (en) * | 2018-12-04 | 2019-06-07 | 广东宜教通教育有限公司 | A kind of ability evaluating method doing topic situation based on student |
| CN109859553B (en) * | 2018-12-04 | 2022-02-08 | 广东宜教通教育有限公司 | Student question making situation-based ability evaluation method |
| CN110009957A (en) * | 2019-04-10 | 2019-07-12 | 上海乂学教育科技有限公司 | The big knowledge mapping test macro of mathematics and method in adaptive learning |
| CN110147428A (en) * | 2019-04-11 | 2019-08-20 | 北京任学教育科技有限公司 | Update method, device, equipment and the storage medium of knowledge point master degree |
| CN110147428B (en) * | 2019-04-11 | 2021-08-27 | 北京任学教育科技有限公司 | Method, device, equipment and storage medium for updating knowledge point mastery degree |
| CN110473598A (en) * | 2019-08-12 | 2019-11-19 | 中国科学院心理研究所 | A kind of psychological test plateform system of knowledge based map |
| CN110598112A (en) * | 2019-09-17 | 2019-12-20 | 广东小天才科技有限公司 | Topic recommendation method and device, terminal equipment and storage medium |
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