CN106708971B - Review test question generation method and system - Google Patents
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- CN106708971B CN106708971B CN201611100680.XA CN201611100680A CN106708971B CN 106708971 B CN106708971 B CN 106708971B CN 201611100680 A CN201611100680 A CN 201611100680A CN 106708971 B CN106708971 B CN 106708971B
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Abstract
The invention is suitable for the technical field of computers, and provides a review test question generation method and a review test question generation system, wherein the method comprises the following steps: classifying the answered test question sets according to the chapter knowledge points; calculating the error rate of the test questions corresponding to the chapter knowledge points, and storing the corresponding error questions according to the chapter knowledge points; acquiring adjacent chapter knowledge points and the corresponding test question error rate according to the current learning task in the learning schedule; and in the adjacent chapter knowledge points, taking the error questions with the test question error rate exceeding the preset error rate as review test questions. According to the invention, when the error rate of the test questions is calculated, the current learning progress of the user is referred, and the adjacent chapter knowledge points are reviewed according to the current learning task, so that the learning of the next stage can be better linked.
Description
Technical Field
The invention belongs to the technical field of computers, and particularly relates to a review test question generation method and system.
Background
In the existing learning systems such as online homework and online examination systems, in a review link, according to the error rate of previous questions made by a user, wrong test questions are selected as review test questions in a targeted manner, and the error rate is taken as the only reference standard during review, so that the user spends a large amount of time and continuously learns repeatedly at the knowledge points of the previous chapters, and the knowledge points of the later chapters are learned. The existing learning system cannot provide a systematic review environment for the user, and the experience degree of the user is reduced.
Disclosure of Invention
The invention aims to provide a review test question generation method and a review test question generation system, and aims to solve the problem of low user experience caused by the fact that a systematic review environment cannot be provided for a user in the prior art.
In one aspect, the invention provides a review test question generation method, which comprises the following steps:
classifying the answered test question sets according to the chapter knowledge points;
calculating the error rate of the test questions corresponding to the chapter knowledge points, and storing the corresponding error questions according to the chapter knowledge points;
acquiring adjacent chapter knowledge points and the corresponding test question error rate according to the current learning task in the learning schedule;
and in the adjacent chapter knowledge points, taking the error questions with the test question error rate exceeding the preset error rate as review test questions.
In another aspect, the present invention provides a review test question generating system, including:
the classification unit is used for classifying the answered test question sets according to the chapter knowledge points;
the error rate calculation unit is used for calculating the test question error rate corresponding to the chapter knowledge points and storing the corresponding error questions according to the chapter knowledge points;
the adjacent chapter knowledge point unit is used for acquiring adjacent chapter knowledge points and the corresponding test question error rate according to the current learning task in the learning schedule; and
and the review test question generating unit is used for taking the error questions with the test question error rate exceeding the preset error rate as review test questions in the adjacent chapter knowledge points.
According to the embodiment of the invention, the corresponding error rate is calculated according to the chapter knowledge points, the adjacent chapter knowledge points are selected by combining the current learning task, the error questions with the error rate reaching the preset error rate in the adjacent chapter knowledge points are taken as review test questions, the current learning progress of a user is referred while the error rate of the test questions is calculated, and the adjacent chapter knowledge points are reviewed according to the current learning task, so that the next stage of learning can be better linked.
Drawings
Fig. 1 is a flowchart illustrating an implementation of a review test question generation method according to an embodiment of the present invention;
fig. 2 is a flowchart illustrating an implementation of a review test question generation method according to a second embodiment of the present invention;
fig. 3 is a schematic structural diagram of a review test question generating system according to a third embodiment of the present invention; and
fig. 4 is a schematic structural diagram of a review test question generating system according to the fourth embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
The following detailed description of specific implementations of the present invention is provided in conjunction with specific embodiments:
the first embodiment is as follows:
fig. 1 shows a flowchart of an implementation of a review test question generation method according to a first embodiment of the present invention, and for convenience of description, only the parts related to the first embodiment of the present invention are shown, which are detailed as follows:
in step S101, the answered test question sets are classified according to chapter knowledge points.
In the embodiment of the invention, each test question is marked with a section knowledge point to be investigated, each subject comprises a plurality of sections, each section comprises a plurality of section knowledge points, and after a user answers the test questions, an answered test question set is formed, wherein the answered test question set is a test question for which the user finishes answering within a preset time period. And classifying the answered test question sets according to chapter knowledge points.
Further, acquiring an answered test question set;
and classifying the answered test question sets according to the chapter knowledge points marked in the test questions.
Specifically, an answered test question set is obtained within a preset time period, and the answered test question set comprises: and classifying the answered test question set according to the chapter knowledge points marked by each test question to form the answered test questions which can be searched by taking the chapter knowledge points as indexes and corresponding chapter knowledge points.
In step S102, a test question error rate of the corresponding chapter knowledge point is calculated, and the corresponding error question is stored according to the chapter knowledge point.
In the embodiment of the invention, the test question error rate of the answered test questions contained in each chapter knowledge point is calculated, and the formula for calculating the test question error rate of the corresponding chapter knowledge points is as follows:
and storing corresponding error questions according to the chapter knowledge points.
In step S103, according to the current learning task in the learning schedule, the adjacent chapter knowledge points and the corresponding test question error rate are obtained.
In the embodiment of the invention, the current learning task is obtained according to a learning schedule, wherein the learning schedule is a table with a corresponding relation formed according to a course catalog and a course time schedule of a textbook. According to the current learning task, chapter knowledge points close to the current learning task are obtained, for example, the current learning task is the content of learning the third chapter, section 4, and according to the current learning task, the adjacent chapter knowledge points are the knowledge points contained in the third chapter, sections 2-3.
In step S104, the error questions whose error rate exceeds the preset error rate among the adjacent chapter knowledge points are regarded as review questions.
In the embodiment of the invention, after the adjacent chapter knowledge points are obtained, the corresponding test question error rate can be obtained according to the adjacent chapter knowledge points, whether the test question error rate exceeds the preset error rate is judged, and if the test question error rate exceeds the preset error rate, the error questions stored corresponding to the adjacent chapter knowledge points are used as review test questions.
Further, comparing the test question error rate corresponding to the adjacent chapter knowledge points with a preset error rate;
taking the error questions exceeding the preset error rate as review test questions.
In the embodiment of the invention, the corresponding error rate is calculated according to the chapter knowledge points, the adjacent chapter knowledge points are selected by combining the current learning task, the error questions with the error rate reaching the preset error rate in the adjacent chapter knowledge points are taken as review test questions, the current learning progress of a user is referred while the error rate of the test questions is calculated, and the adjacent chapter knowledge points are reviewed according to the current learning task, so that the next stage of learning can be better linked.
Example two:
fig. 2 shows an implementation flowchart of a review test question generation method provided by the second embodiment of the present invention, and for convenience of description, only the parts related to the second embodiment of the present invention are shown, which are detailed as follows:
in step S201, the answered test question sets are classified according to chapter knowledge points.
In step S202, the test question error rate of the corresponding chapter knowledge point is calculated, and the corresponding error question is stored according to the chapter knowledge point.
In step S203, according to the current learning task in the learning schedule, the adjacent chapter knowledge points and the corresponding test question error rate are obtained.
In step S204, the error questions with the test question error rate exceeding the preset error rate are regarded as review test questions in the adjacent chapter knowledge points.
In step S205, review questions are output according to a preset output mode.
In the embodiment of the invention, when the error rate is high, because the error quantity is large, the test questions with large difficulty value or the test questions with high error rate can be preferably output according to the preset output mode, so that the learning efficiency is improved, and the targeted review is performed.
It will be understood by those skilled in the art that all or part of the steps in the method for implementing the above embodiments may be implemented by relevant hardware instructed by a program, and the program may be stored in a computer-readable storage medium, such as ROM/RAM, magnetic disk, optical disk, etc.
Example three:
fig. 3 is a schematic structural diagram of a review test question generation system provided in the third embodiment of the present invention, and only the parts related to the third embodiment of the present invention are shown for convenience of description. In the embodiment of the present invention, the review test question generating system includes: a classification unit 31, an error rate calculation unit 32, an adjacent chapter knowledge point unit 33, and a review question generation unit 34, wherein:
and a classification unit 31 for classifying the answered test question sets according to the chapter knowledge points.
In the embodiment of the invention, each test question is marked with a section knowledge point to be investigated, each subject comprises a plurality of sections, each section comprises a plurality of section knowledge points, and after a user answers the test questions, an answered test question set is formed, wherein the answered test question set is a test question for which the user finishes answering within a preset time period. And classifying the answered test question sets according to chapter knowledge points.
Further, the classification unit 31 includes:
a test question set acquiring unit 311, configured to acquire a answered test question set; and
the classifying subunit 312 is configured to classify the answered test question set according to the chapter knowledge points marked in the test questions.
Specifically, an answered test question set is obtained within a preset time period, and the answered test question set comprises: and classifying the answered test question set according to the chapter knowledge points marked by each test question to form the answered test questions which can be searched by taking the chapter knowledge points as indexes and corresponding chapter knowledge points.
And the error rate calculation unit 32 is used for calculating the test question error rate of the corresponding chapter knowledge points and storing the corresponding error questions according to the chapter knowledge points.
In the embodiment of the invention, the test question error rate of the answered test questions contained in each chapter knowledge point is calculated, and the formula for calculating the test question error rate of the corresponding chapter knowledge points is as follows:
and storing corresponding error questions according to the chapter knowledge points.
And an adjacent chapter knowledge point unit 33, configured to obtain adjacent chapter knowledge points and corresponding test question error rates according to the current learning task in the learning schedule.
In the embodiment of the invention, the current learning task is obtained according to a learning schedule, wherein the learning schedule is a table with a corresponding relation formed according to a course catalog and a course time schedule of a textbook. According to the current learning task, chapter knowledge points close to the current learning task are obtained, for example, the current learning task is the content of learning the third chapter, section 4, and according to the current learning task, the adjacent chapter knowledge points are the knowledge points contained in the third chapter, sections 2-3.
The review test question generating unit 34 is configured to use the error questions with the test question error rate exceeding the preset error rate as review test questions in the adjacent chapter knowledge points.
In the embodiment of the invention, after the adjacent chapter knowledge points are obtained, the corresponding test question error rate can be obtained according to the adjacent chapter knowledge points, whether the test question error rate exceeds the preset error rate is judged, and if the test question error rate exceeds the preset error rate, the error questions stored corresponding to the adjacent chapter knowledge points are used as review test questions.
Further, the review test question generating unit 34 includes:
a comparing unit 341, configured to compare the test question error rate corresponding to the adjacent chapter knowledge point with a preset error rate; and
the generating subunit 342 is configured to use the error questions exceeding the preset error rate as review test questions.
In the embodiment of the invention, the corresponding error rate is calculated according to the chapter knowledge points, the adjacent chapter knowledge points are selected by combining the current learning task, the error questions with the error rate reaching the preset error rate in the adjacent chapter knowledge points are taken as review test questions, the current learning progress of a user is referred while the error rate of the test questions is calculated, and the adjacent chapter knowledge points are reviewed according to the current learning task, so that the next stage of learning can be better linked.
Example four:
fig. 4 is a schematic structural diagram of a review test question generation system according to a fourth embodiment of the present invention, and only the relevant parts according to the fourth embodiment of the present invention are shown for convenience of description. In the embodiment of the present invention, the review test question generating system includes: a classification unit 41, an error rate calculation unit 42, an adjacent chapter knowledge point unit 43, a review question generation unit 44, and an output unit 45, wherein:
a classification unit 41 configured to classify the answered test question sets according to the chapter knowledge points;
the error rate calculation unit 42 is configured to calculate a test question error rate of the corresponding chapter knowledge points, and store the corresponding error questions according to the chapter knowledge points;
an adjacent chapter knowledge point unit 43, configured to obtain adjacent chapter knowledge points and corresponding test question error rates according to the current learning task in the learning schedule;
a review test question generating unit 44, configured to use, as a review test question, a wrong question with a test question error rate exceeding a preset error rate in adjacent chapter knowledge points; and
and the output unit 45 is used for outputting review questions according to a preset output mode.
In the embodiment of the invention, when the error rate is high, because the error quantity is large, the test questions with large difficulty value or the test questions with high error rate can be preferably output according to the preset output mode, so that the learning efficiency is improved, and the targeted review is performed.
In the embodiment of the present invention, each unit of the review test question generating system may be implemented by a corresponding hardware or software unit, and each unit may be an independent software or hardware unit, or may be integrated into a software or hardware unit, which is not limited herein. For the implementation of each unit of the system, reference may be made to the description of the first embodiment, which is not repeated herein.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents and improvements made within the spirit and principle of the present invention are intended to be included within the scope of the present invention.
Claims (10)
1. A review test question generation method is characterized by comprising the following steps:
classifying the answered test question sets according to the chapter knowledge points to form answered test questions with the chapter knowledge points as indexes for searching corresponding chapter knowledge points;
calculating the test question error rate corresponding to the chapter knowledge points, and storing corresponding test questions according to the chapter knowledge points, wherein the test question error rate is the test question error rate of a single user;
acquiring adjacent chapter knowledge points and the corresponding test question error rate according to the current learning task in the learning schedule;
and in the adjacent chapter knowledge points, taking the error questions with the test question error rate exceeding the preset error rate as review test questions.
2. The method of claim 1, wherein the step of classifying the answered test sets by chapter knowledge point comprises:
acquiring an answered test question set;
and classifying the answered test question sets according to the chapter knowledge points marked in the test questions.
3. The method of claim 1, wherein the formula for calculating the error rate of the test questions corresponding to the chapter knowledge points is:
4. the method as claimed in claim 1, wherein the step of regarding the error questions whose error rate exceeds a preset error rate among the adjacent chapter knowledge points as review questions comprises:
comparing the test question error rate corresponding to the adjacent chapter knowledge points with a preset error rate;
taking the error questions exceeding the preset error rate as review test questions.
5. The method of claim 1, wherein the method further comprises:
and outputting the review test questions according to a preset output mode.
6. A review test question generating system, the system comprising:
the classification unit is used for classifying the answered test question set according to the chapter knowledge points to form an index with the chapter knowledge points for searching answered test questions corresponding to the chapter knowledge points;
the error rate calculation unit is used for calculating the test question error rate corresponding to the chapter knowledge points and storing the corresponding test questions according to the chapter knowledge points, wherein the test question error rate is the test question error rate of a single user;
the adjacent chapter knowledge point unit is used for acquiring adjacent chapter knowledge points and the corresponding test question error rate according to the current learning task in the learning schedule; and
and the review test question generating unit is used for taking the error questions with the test question error rate exceeding the preset error rate as review test questions in the adjacent chapter knowledge points.
7. The system of claim 6, wherein the classification unit comprises:
the test question set acquisition unit is used for acquiring the answered test question set; and
and the classification subunit is used for classifying the answered test question set according to the chapter knowledge points marked in the test questions.
8. The system of claim 6, wherein the formula for calculating the error rate of the test questions corresponding to the chapter knowledge points is:
9. the system of claim 6, wherein the review question generation unit comprises:
the comparison unit is used for comparing the test question error rate corresponding to the adjacent chapter knowledge point with a preset error rate; and
and the generation subunit is used for taking the error questions exceeding the preset error rate as review test questions.
10. The system of claim 6, wherein the system further comprises:
and the output unit is used for outputting the review test questions according to a preset output mode.
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| CN109684365A (en) * | 2018-11-05 | 2019-04-26 | 广东共升教育科技有限公司 | A kind of method, apparatus, equipment and storage medium automatically generating review topic |
| CN109767663A (en) * | 2019-03-22 | 2019-05-17 | 河南城建学院 | A kind of linear algebra test question question-setting system |
| CN111753616A (en) * | 2019-11-26 | 2020-10-09 | 广东小天才科技有限公司 | Wrong question collection method and learning equipment |
| CN111125342B (en) * | 2019-12-17 | 2023-06-27 | 深圳市鹰硕技术有限公司 | Problem test data generation method and device |
| CN113282765A (en) * | 2021-06-17 | 2021-08-20 | 东莞市亚太未来软件有限公司 | Dynamic review test question generation method and system |
| CN113674571B (en) * | 2021-08-24 | 2023-03-31 | 科学出版社成都有限责任公司 | Exercise method, exercise system and storage medium |
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