CN109584127B - Teaching resource management method and system for experiment teaching - Google Patents
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Abstract
The invention discloses a teaching resource management method and system for experimental teaching, relates to the technical field of experimental teaching resource management, and aims to solve the problem that the conventional scheme for arranging questions in the experimental teaching brings great inconvenience to the teaching of teachers. The key points of the technical scheme are as follows: managing course resources for experiment teaching; managing a course question bank for testing; extracting questions from the course question bank as test questions; wherein, extracting the questions from the course question bank comprises: establishing a candidate question bank for temporarily storing the question group; extracting at least one problem group in a course problem library; putting each extracted at least one question group into a candidate question bank; one question is extracted from each question group in the candidate question library as a test question. The scheme that a certain number of questions can be automatically extracted from the course question library to serve as the test questions is achieved, and great convenience is brought to the experimental teaching of teachers.
Description
Technical Field
The invention relates to the technical field of experimental teaching resource management, in particular to a teaching resource management method and system for experimental teaching.
Background
The experimental teaching resources comprise course related pictures, teaching videos, test questions and the like. After the experimental course is finished, the teacher generally arranges corresponding test questions/homework questions for the students in a classroom to help the students consolidate and understand the learned knowledge, and the method is an effective method capable of feeding back the learning conditions of the students. At the aspect of arranging test questions/homework questions for students, the existing question arrangement scheme includes the following steps: testing students in a paper test paper mode; sending Word/Excel containing the subject to the student; the students log in the examination system to answer questions.
For example, chinese patent publication No. CN108805767A discloses a laboratory management system, which includes: the system comprises a control center, and an experiment learning management module, an experiment teaching management module, an equipment management module, a reagent consumable management module, an authority management module and a communication module which are respectively connected with the control center, wherein the control center is communicated with a network server through the communication module; the experimental learning management module comprises: the laboratory management system realizes the comprehensive management of a laboratory through the Internet technology and the computer technology.
According to the technical scheme, the technical scheme for realizing the centralized management of each module in the laboratory through the Internet technology and the computer technology is mature. However, in the aspect of arranging test questions/homework questions for students, whether in the form of paper test paper or the online test/examination module, the questions need to be prepared and distributed to the students by the teacher. The adoption of the above method for arranging the test questions/the operation questions can bring great inconvenience to teachers for teaching, and the problem needs to be solved.
Disclosure of Invention
The invention aims to provide a teaching resource management method and system for experiment teaching.
The invention aims at: the teaching resource management method for the experimental teaching has the advantages that a certain number of questions can be automatically extracted from a course question bank to serve as test questions, the question extraction speed is high, the efficiency is high, and great convenience is brought to the experimental teaching of teachers;
the second purpose of the invention is that: the teaching resource management system for the experimental teaching has the advantages that the system can automatically extract a certain number of questions as test questions according to the requirements of customers, manual intervention is reduced, and the effect of the experimental teaching and the convenience of teacher teaching are effectively improved.
The above object of the present invention is achieved by the following technical solutions:
a teaching resource management method for experiment teaching comprises the following steps:
step 1-1: managing course resources for experiment teaching;
creating a course library for storing course resources of the current period;
adding course resources for experimental teaching in the course library, wherein the course resources comprise teaching pictures, teaching plans and teaching outlines;
step 1-2: managing a course question bank for testing;
establishing a course question bank for storing questions for the study test;
adding at least two test question groups in the course question library, wherein each test question group of the at least two test question groups comprises at least one question with the same question type, and the question types of any two test question groups are different from each other;
step 1-3: extracting questions from the course question bank as test questions;
establishing a candidate question bank for temporarily storing the question group;
extracting at least one problem group in the course problem library, and putting each problem group in the extracted at least one problem group into a candidate problem library;
and extracting a question from each question group in the candidate question library as a test question.
By adopting the technical scheme, a teacher can carry out classroom teaching through course resources in the course library, when test questions/operation questions are required to be issued, a certain number of questions can be automatically extracted from the course question library as required to serve as test questions, the question extraction speed is high, the efficiency is high, and great convenience is brought to the experimental teaching of the teacher.
The invention is further configured to: the step of establishing a course question bank for storing questions for the study test specifically comprises the following steps: and establishing a question bank or copying an established question bank as a course question bank for storing questions for the study period test.
By adopting the technical scheme, the user can establish a required course question bank in a new or copied mode so as to facilitate new school period teaching or parallel class teaching.
The invention is further configured to: the method for extracting at least one problem group in the course problem library comprises the following steps:
step 2-1: acquiring quantity information of the topic groups to be extracted, wherein the quantity of the topic groups to be extracted is at least one;
step 2-2: acquiring the probability of historical extraction of all the question groups in the course question bank, and sequentially arranging all the question groups in the course question bank according to the sequence of historical extraction frequency from low to high;
step 2-3: and extracting the question groups with the number equal to that of the question groups needing to be extracted from all the question groups which are sequentially arranged from front to back.
Through adopting above-mentioned technical scheme, can guarantee that the probability that each topic group was drawed approaches to equaling to guarantee the test effect of every topic group to the student.
The invention is further configured to: the method for extracting a question from each question group in the candidate question library as a test question comprises the following steps:
step 3-1: establishing candidate data sets with the number equal to the number of the question groups in the candidate question bank, wherein the candidate data sets correspond to the question groups in the candidate question bank one by one;
step 3-2: putting all the questions in each question group in the candidate question library into a corresponding candidate data set, wherein the candidate data set comprises all the questions corresponding to the corresponding question group and each question in all the questions corresponding to the corresponding question group and is used as the priority of the test questions;
step 3-3: calculating a conditional probability model according to the candidate data set, wherein the conditional probability model comprises all questions corresponding to the corresponding question group and the frequency of each question history in all the questions corresponding to the corresponding question group being used as a test question;
step 3-4: and sequencing each topic in all the topics corresponding to the corresponding topic group in sequence according to the conditional probability model and the corresponding candidate data set, and taking the topic with the highest sequencing as a test topic.
By adopting the technical scheme, the method is beneficial to quickly taking out the optimal questions as the test questions, avoids the complex operation of selecting the questions by the teacher, and brings great convenience for the experimental teaching of the teacher.
The invention is further configured to: the method for extracting a question from each question group in the candidate question library as a test question further comprises the following steps:
step 3-5: selecting whether to issue the test question; if yes, entering a layout test state that the test questions cannot be modified; if the selection is no, entering a draft saving state capable of modifying the test questions.
By adopting the technical scheme, the teacher can conveniently check/modify the automatically selected test questions, and the test effect is ensured.
The second aim of the invention is realized by the following technical scheme:
a teaching resource management system for experimental teaching, comprising: the system comprises a course resource management unit for managing course resources for experimental teaching, a course question bank management unit for managing a course question bank for testing and a test question construction unit for extracting questions from the course question bank as test questions;
the course resource management unit includes:
the course library module is used for storing course resources of the current school period, and the course resources comprise teaching pictures, teaching plans and teaching outlines;
the course resource module is used for adding course resources for experimental teaching in the course library module;
the course question bank management unit comprises:
the course question bank module is used for establishing a course question bank which is used for storing questions for testing in the current period;
the system comprises a course question library, a question group adding module, a question group analyzing module and a question group analyzing module, wherein the course question library is used for storing a course question library, the course question library is used for storing a plurality of test question groups, each test question group of the at least two test question groups comprises at least one question with the same question type, and the question types of any two test question groups are different from each other;
the test question constructing unit includes:
the candidate question bank module is used for establishing a candidate question bank which is used for temporarily storing question groups;
the question group extraction module is used for extracting at least one question group in the course question bank and putting each extracted question group into the candidate question bank;
and the test question extraction module is used for extracting a question from each question group in the candidate question library as a test question.
By adopting the technical scheme, the course resource management is used for the teacher to manage the course resources and carry out the teaching of the experimental course, when the course is finished and the student is required to do the questions, the system can respond to the operation of the teacher and automatically extract a certain number of questions as the test questions according to the question demand number input by the client, so that the human intervention is reduced, and the effect of the experimental teaching and the convenience of the teacher teaching are effectively improved.
The invention is further configured to: the course question bank module is specifically used for creating a question bank or copying an established question bank as a course question bank.
Through adopting above-mentioned technical scheme, the teacher can carry out quick duplication to the course topic storehouse, is convenient for carry out parallel class teaching and new school date teaching.
The invention is further configured to: the question group extracting module includes:
the quantity acquisition module is used for acquiring quantity information of the topic groups to be extracted, wherein the quantity of the topic groups to be extracted is at least one;
the probability acquisition module is used for acquiring the probability of extracting all the historical subject groups in the course subject database and sequentially arranging all the subject groups in the course subject database according to the sequence of the historical extraction frequency from low to high;
and the extraction submodule is used for extracting the question groups with the number equal to that of the question groups needing to be extracted from all the question groups which are sequentially arranged from front to back.
By adopting the technical scheme, the frequency of the used problem groups tends to be equal, the effect of each problem group is fully exerted, and the test effect is better.
The invention is further configured to: the test question extraction module includes:
the candidate data module is used for establishing candidate data sets with the number equal to that of the question groups in the candidate question bank, and the candidate data sets correspond to the question groups in the candidate question bank one by one;
a topic input module, configured to input all topics in each topic group in the candidate topic library into the corresponding candidate data set, where the candidate data set includes all topics corresponding to the corresponding topic group and each topic in all topics corresponding to the corresponding topic group is used as a priority of a test topic;
a conditional probability module, configured to calculate a conditional probability model according to the candidate data set, where the conditional probability model includes all topics corresponding to the corresponding topic group and a frequency with which each topic history in all topics corresponding to the corresponding topic group is used as a test topic;
and the sequencing submodule is used for sequencing each topic in all the topics corresponding to the corresponding topic group in sequence according to the conditional probability model and the corresponding candidate data set, and taking the topic with the highest sequencing as a test topic.
By adopting the technical scheme, the optimal test questions can be automatically screened out in response to the operation of the teacher, great convenience is provided for teaching of the teacher, and the questions of various question types can be extracted, so that the questions are more scientific.
The invention is further configured to: the test question extraction module also comprises a state selection module for a user to select whether to issue the test questions; if the user selects yes, the state selection module issues the test questions to students; if the user selects not, the state selection module saves the test questions as a modifiable draft state.
By adopting the technical scheme, before the test questions are issued, the teacher can also check and modify the test questions, so that the quality of the questions issued to the students is ensured, and the test effect is further ensured.
In conclusion, the beneficial technical effects of the invention are as follows:
1. a certain number of questions can be automatically extracted from the course question library as test questions according to the requirements of the teacher, the teacher does not need to spend great effort on selecting the questions or setting out the questions again, and great convenience is brought to the experimental teaching of the teacher;
2. the optimal questions can be automatically screened as the test questions according to the conditional probability model and the corresponding candidate data sets, so that the diversity and the scientificity of the questions are guaranteed, the function of each question is fully exerted, and each test can have a good test effect.
Drawings
Fig. 1 is a flowchart of a teaching resource management method for experiment teaching according to an embodiment of the present invention;
FIG. 2 is a flowchart of another teaching resource management method for experiment teaching according to an embodiment of the present invention;
FIG. 3 is a flowchart illustrating a method for extracting at least one question group from a course question bank in a teaching resource management method for experimental teaching according to an embodiment of the present invention;
fig. 4 is a flowchart illustrating step S70 of the teaching resource management method for experimental teaching according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of a teaching resource management system for experiment teaching according to a second embodiment of the present invention;
fig. 6 is a schematic structural diagram of another teaching resource management system for experiment teaching according to a second embodiment of the present invention.
In the figure, 10, a course resource management unit; 11. a course library module; 12. a course resource module; 20. a course question bank management unit; 21. a course question bank module; 22. a question group adding module; 30. a test question constructing unit; 31. a candidate question bank module; 32. a question group extraction module; 33. a test question extraction module; 41. a quantity acquisition module; 42. a probability acquisition module; 43. extracting a submodule; 51. a candidate data module; 52. a question input module; 53. a conditional probability module; 54. a sorting submodule; 55. and a state selection module.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings.
Example one
Referring to fig. 1, the teaching resource management method for experimental teaching disclosed by the invention comprises the following steps: step 1-1: managing course resources for experiment teaching; step 1-2: managing a course question bank for testing; step 1-3: and extracting the questions from the course question bank as test questions.
Referring to fig. 2, step 1-1 specifically includes the following steps:
step S10, creating a course library for storing the course resources of the current session.
And step S20, adding course resources for experiment teaching in the course library.
Specifically, the course resources include teaching pictures, teaching plans, teaching schemas, and the like. In this embodiment, both the teaching plan and the teaching outline can be browsed by the teacher on-line, and the browsing format is pdf.
The step 1-2 specifically comprises the following steps:
step S30, a course question bank for storing questions for the study test is established. Specifically, the established course problem library is a course problem library of all the grades of a certain experimental course in the current period or a course problem library of one/a plurality of grades aiming at a certain experimental course, and the mode of establishing the course problem library comprises establishing a new problem library as the course problem library of the current period/the current course or copying an established problem library (comprising the current period or the historical period) as the course problem library of the current period/the current course.
Step S40, adding at least two test question groups in the course question library. Each of the at least two test question groups comprises at least one question with the same question type, and the question types of any two test question groups are different from each other. Specifically, taking an example that a question group a and a question group B are added in the course question library, all the questions in the question group a are of the question type a, and all the questions in the question group B are of the question type B.
The steps 1-3 specifically comprise the following steps:
step S50, a candidate question bank for temporarily storing the question group is established.
Step S60, at least one subject group in the curriculum subject database is extracted, and each subject group in the extracted at least one subject group is put into the candidate subject database.
Step S70, extracting a question from each question group in the candidate question library as a test question.
Referring to fig. 2 and 3, the method for extracting at least one question group in the course question bank in step S60 includes the following steps:
step 2-1: the number information of the topic groups to be extracted is acquired, and in this embodiment, the number of the topic groups to be extracted is at least one. Specifically, the number of the question groups to be extracted is determined by the teacher, for example, if the teacher chooses to make three test questions for the students according to the needs, the number of the extracted question groups is three.
Step 2-2: and acquiring the probability of extracting the history of the subject groups in the course subject library, and sequentially arranging all the subject groups in the course subject library according to the sequence of the history extracting frequency from low to high. Specifically, the probability of extracting the question group history is the probability of being extracted in the current period and the history period in total, so that the probability of extracting each question group in the course question bank tends to be the same, the effect of each question group is fully exerted, and the detection effect on the learning condition of students is better.
Step 2-3: the question groups with the number equal to that of the question groups needing to be extracted are extracted from all the question groups which are sequentially arranged from front to back. Specifically, for example, the problem groups in the course problem library include a problem group a, a problem group B, a problem group C, and a problem group D, the four problem groups are arranged in sequence of problem group B → problem group D → problem group C → problem group a, and if two problem groups need to be extracted, problem group B and problem group D are extracted.
Referring to fig. 2 and 4, step S70 specifically includes the following steps:
step 3-1: and establishing candidate data sets with the number equal to that of the question groups in the candidate question base, wherein the established candidate data sets correspond to the question groups in the candidate question base one by one.
Step 3-2: and putting all the questions in each question group in the candidate question library into a corresponding candidate data set, wherein the candidate data set comprises all the questions corresponding to the corresponding question group and each question in all the questions corresponding to the corresponding question group, and the candidate data set is used as the priority of the test questions.
Step 3-3: a conditional probability model is computed from the candidate data set, the conditional probability model including all topics corresponding to the respective topic group and the frequency with which each topic history of all topics corresponding to the respective topic group is used as a test topic.
Step 3-4: and sequencing each topic in all the topics corresponding to the corresponding topic group in sequence according to the conditional probability model and the corresponding candidate data set, and taking the topic with the highest sequencing as a test topic.
Specifically, taking an example in which three titles (title 1, title 2, title 3) are included in a title group, the three titles are ranked from high to low in order of title 1 → title 2 → title 3, and if the frequency with which the three title histories are used as test titles is ranked from low to high of title 2 → title 3 → title 1, title 2 is used as a test title. Wherein, if the frequency of using the histories of the topics 2 and 3 as the test topics is the same, and the frequency of using the history of the topic 1 as the test topics is higher than the frequency of using the histories of the topics 2 and 3, the topics 2 are used as the test topics in the priority ranking of the topics 2 and 3.
Step 3-5: selecting whether to issue test questions; if yes, entering a layout test state that the test questions cannot be modified, and enabling students to answer specified test questions within specified time and specified times; if not, entering a draft saving state capable of modifying the test questions, and after the teacher modifies/confirms the test questions, optionally entering a layout test state.
Example two
Referring to fig. 5, the teaching resource management system for experiment teaching disclosed in the present invention includes a course resource management unit 10, a course question bank management unit 20 and a test question construction unit 30. The course resource management unit 10 is used for a teacher to manage course resources for experimental teaching, the course question bank management unit 20 is used for the teacher to manage a course question bank for testing, and the test question construction unit 30 is used for automatically extracting questions from the course question bank as test questions in response to the operation of the teacher.
Referring to fig. 5, the lesson resource management unit 10 includes a lesson library module 11 and a lesson resource module 12. The course library module 11 is used for storing course resources of the current period; the course resource module 12 is used for the teacher to add course resources for experiment teaching in the course library module 11. Specifically, the course resources include teaching pictures, teaching plans, teaching schemas, and the like. In this embodiment, both the teaching plan and the teaching outline can be browsed by the teacher on-line, and the browsing format is pdf.
Referring to fig. 5, the course question bank managing unit 20 includes a course question bank module 21 and a question group adding module 22. The course question bank module 21 is used for the teacher to establish a course question bank, and the course question bank is used for storing the questions for the test in the current period. Specifically, the established course problem library is a course problem library of all the grades of a certain experimental course in the current period or a course problem library of one/a plurality of grades aiming at a certain experimental course, and the mode of establishing the course problem library comprises establishing a new problem library as the course problem library of the current period/the current course or copying an established problem library (comprising the current period or the historical period) as the course problem library of the current period/the current course. The question group adding module 22 is used for the teacher to add at least two question groups for student testing in the course question library, wherein each of the at least two test question groups comprises at least one question with the same question type, and the question types of any two test question groups are different from each other. Specifically, taking an example that a question group a and a question group B are added in the course question library, all the questions in the question group a are of the question type a, and all the questions in the question group B are of the question type B.
Referring to fig. 5, the test question constructing unit 30 includes a candidate question bank module 31, a question group extracting module 32, and a test question extracting module 33. The candidate question bank module 31 is used to establish a candidate question bank, and the candidate question bank is used to temporarily store the question group. The question group extracting module 32 is configured to extract at least one question group in the course question bank in response to the teacher's operation, and put each of the extracted at least one question group into the candidate question bank. The test question extracting module 33 is configured to extract a question from each of the at least one extracted question group as a test question after the question group extracting module 32 puts each of the at least one extracted question group into the candidate question library.
Referring to fig. 6, the topic group extraction module 32 includes a number acquisition module 41, a probability acquisition module 42, and an extraction sub-module 43. The number obtaining module 41 is configured to obtain number information of the topic groups that need to be extracted, where it should be noted that the number of the topic groups that need to be extracted is at least one. Specifically, the number of the question groups to be extracted is determined by the teacher, for example, if the teacher chooses to make three test questions for the students, the number of the question groups extracted by the system is three.
The probability obtaining module 42 is configured to obtain probabilities of history extraction of all the question groups in the course question bank, and arrange all the question groups in the course question bank in sequence according to a low history extraction frequency to a high history extraction frequency. Specifically, the probability of extracting the question group history is the probability of being extracted in the current period and the history period in total, so that the probability of extracting each question group in the course question bank tends to be the same, the effect of each question group is fully exerted, and the detection effect on the learning condition of students is better.
And an extraction sub-module 43 for extracting, from all the question groups arranged in sequence, the question groups whose number is equal to the number of the question groups to be extracted in the order from front to back. Specifically, for example, the problem groups in the course problem library include a problem group a, a problem group B, a problem group C, and a problem group D, the four problem groups are arranged in sequence of problem group B → problem group D → problem group C → problem group a, and if two problem groups need to be extracted, problem group B and problem group D are extracted.
Referring to fig. 6, the test question extraction module 33 includes a candidate data module 51, a question input module 52, a conditional probability module 53, a ranking sub-module 54, and a status selection module 55. The candidate data module 51 is configured to establish candidate data sets with the number equal to the number of question groups in the candidate question base, where the candidate data sets correspond to the question groups in the candidate question base one to one. The topic input module 52 is configured to input all the topics in each topic group in the candidate topic library into a corresponding candidate data set, where the candidate data set includes all the topics corresponding to the corresponding topic group and each topic in all the topics corresponding to the corresponding topic group is used as a priority of the test topic. The conditional probability module 53 is configured to calculate a conditional probability model from the candidate data set, where the conditional probability model includes all topics corresponding to the corresponding topic group and a frequency with which each topic history of all topics corresponding to the corresponding topic group is used as a test topic.
The sorting submodule 54 is configured to sequentially sort each topic in all the topics corresponding to the corresponding topic group according to the conditional probability model and the corresponding candidate data set, and use the topic with the top sorting as a test topic. Specifically, taking an example in which three titles (title 1, title 2, title 3) are included in a title group, the three titles are ranked from high to low in order of title 1 → title 2 → title 3, and if the frequency with which the three title histories are used as test titles is ranked from low to high of title 2 → title 3 → title 1, title 2 is used as a test title. Wherein, if the frequency of using the histories of the topics 2 and 3 as the test topics is the same, and the frequency of using the history of the topic 1 as the test topics is higher than the frequency of using the histories of the topics 2 and 3, the topics 2 are used as the test topics in the priority ranking of the topics 2 and 3.
The status selection module 55 is used for the teacher to select whether to issue the test questions selected by the ranking sub-module 54. If the teacher selects yes, the status selection module 55 issues the test questions to the students, and at this time, the students can answer the specified test questions within the specified time and the specified times. If the teacher chooses no, the status selection module 55 saves the test questions as a modifiable draft status, and after the teacher has modified/confirmed the test questions, the teacher may also choose to issue the modified/confirmed test questions to the students.
The embodiments of the present invention are preferred embodiments of the present invention, and the scope of the present invention is not limited by these embodiments, so: all equivalent changes made according to the structure, shape and principle of the invention are covered by the protection scope of the invention.
Claims (6)
1. A teaching resource management method for experiment teaching is characterized by comprising the following steps:
step 1-1: managing course resources for experiment teaching;
creating a course library for storing course resources of the current period;
adding course resources for experimental teaching in the course library, wherein the course resources comprise teaching pictures, teaching plans and teaching outlines;
step 1-2: managing a course question bank for testing;
establishing a course question bank for storing questions for the study test;
adding at least two test question groups in the course question library, wherein each test question group of the at least two test question groups comprises at least one question with the same question type, and the question types of any two test question groups are different from each other;
step 1-3: extracting questions from the course question bank as test questions;
establishing a candidate question bank for temporarily storing the question group;
extracting at least one problem group in the course problem library, and putting each problem group in the extracted at least one problem group into a candidate problem library;
extracting a question from each question group in the candidate question library as a test question;
the method for extracting at least one problem group in the course problem library comprises the following steps:
step 2-1: acquiring quantity information of the topic groups to be extracted, wherein the quantity of the topic groups to be extracted is at least one;
step 2-2: acquiring the probability of historical extraction of all the question groups in the course question bank, and sequentially arranging all the question groups in the course question bank according to the sequence of historical extraction frequency from low to high;
step 2-3: extracting the question groups with the number equal to that of the question groups needing to be extracted from all the question groups which are sequentially arranged from front to back;
the method for extracting a question from each question group in the candidate question library as a test question comprises the following steps:
step 3-1: establishing candidate data sets with the number equal to the number of the question groups in the candidate question bank, wherein the candidate data sets correspond to the question groups in the candidate question bank one by one;
step 3-2: putting all the questions in each question group in the candidate question library into a corresponding candidate data set, wherein the candidate data set comprises all the questions corresponding to the corresponding question group and each question in all the questions corresponding to the corresponding question group and is used as the priority of the test questions;
step 3-3: calculating a conditional probability model according to the candidate data set, wherein the conditional probability model comprises all questions corresponding to the corresponding question group and the frequency of each question history in all the questions corresponding to the corresponding question group being used as a test question;
step 3-4: and sequencing each topic in all the topics corresponding to the corresponding topic group in sequence according to the conditional probability model and the corresponding candidate data set, and taking the topic with the highest sequencing as a test topic.
2. The method as claimed in claim 1, wherein the step of creating a course question bank for storing questions for the current period test comprises: and establishing a question bank or copying an established question bank as a course question bank for storing questions for the study period test.
3. The teaching resource management method for experimental teaching according to claim 1, wherein the method of extracting a question from each question group in said candidate question library as a test question further comprises the steps of:
step 3-5: selecting whether to issue the test question; if yes, entering a layout test state that the test questions cannot be modified; if the selection is no, entering a draft saving state capable of modifying the test questions.
4. A teaching resource management system for experiment teaching, comprising: the system comprises a course resource management unit (10) for managing course resources for experimental teaching, a course question bank management unit (20) for managing a course question bank for testing and a test question construction unit (30) for extracting questions from the course question bank as test questions;
the course resource management unit (10) includes:
the course library module (11) is used for storing course resources of the current school period, and the course resources comprise teaching pictures, teaching plans and teaching outlines;
the course resource module (12) is used for adding course resources for experiment teaching in the course library module (11);
the course question bank management unit (20) includes:
the course question bank module (21) is used for establishing a course question bank which is used for storing questions for testing in the current period;
the question group adding module (22) is used for adding at least two test question groups in the course question library, each test question group of the at least two test question groups comprises at least one question with the same question type, and the question types of any two test question groups are different from each other;
the test question constructing unit (30) includes:
the candidate question bank module (31) is used for establishing a candidate question bank which is used for temporarily storing the question group;
a question group extraction module (32) for extracting at least one question group in the course question bank and putting each of the extracted at least one question group into the candidate question bank;
the test question extraction module (33) is used for extracting a question from each question group in the candidate question library as a test question;
wherein the topic group extraction module (32) comprises:
the quantity acquisition module (41) is used for acquiring quantity information of the topic groups needing to be extracted, and the quantity of the topic groups needing to be extracted is at least one;
the probability acquisition module (42) is used for acquiring the probability of extracting all the historical subject groups in the course subject library and sequentially arranging all the subject groups in the course subject library according to the sequence of the historical extraction frequency from low to high;
an extraction submodule (43) for extracting, from all the question groups arranged in sequence, question groups of which the number is equal to that of the question groups to be extracted in the order from front to back;
the test question extraction module (33) includes:
a candidate data module (51) for establishing candidate data sets with the number equal to the number of question groups in the candidate question bank, wherein the candidate data sets correspond to the question groups in the candidate question bank one by one;
a topic input module (52) for inputting all topics in each topic group in the candidate topic library into the corresponding candidate data set, wherein the candidate data set comprises all topics corresponding to the corresponding topic group and each topic in all topics corresponding to the corresponding topic group is used as a priority for testing;
a conditional probability module (53) for calculating a conditional probability model from the candidate data set, the conditional probability model including all topics corresponding to the respective topic group and a frequency with which each topic history of all topics corresponding to the respective topic group is used as a test topic;
and the sequencing submodule (54) is used for sequencing each topic in all the topics corresponding to the corresponding topic group in sequence according to the conditional probability model and the corresponding candidate data set, and taking the topic with the highest sequencing as a test topic.
5. The teaching resource management system of claim 4, wherein the course question bank module (21) is specifically configured to create a question bank or copy an already created question bank as a course question bank.
6. The teaching resource management system for experiment teaching according to claim 4, wherein said test question extracting module (33) further comprises a status selecting module (55) for a user to select whether to issue said test question; if the user selects yes, the state selection module (55) issues the test questions to students; if the user selects no, the state selection module (55) saves the test question as a modifiable draft state.
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