CN112037595A - Method for assisting training and answering by computer in K12 teaching - Google Patents
Method for assisting training and answering by computer in K12 teaching Download PDFInfo
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- CN112037595A CN112037595A CN202010966432.3A CN202010966432A CN112037595A CN 112037595 A CN112037595 A CN 112037595A CN 202010966432 A CN202010966432 A CN 202010966432A CN 112037595 A CN112037595 A CN 112037595A
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- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
- G09B7/00—Electrically-operated teaching apparatus or devices working with questions and answers
Abstract
The invention discloses a method for assisting in training and answering questions by a computer in K12 teaching, which is realized by the following steps: s10 when the student uses for the first time, the system generates a knowledge point scoring matrix, each knowledge point which the student needs to master corresponds to a score and a master grade; s20 pushing the question according to the appointed knowledge point; s30, after the student submits the answer, the system fuzzifies the answer process, and simultaneously checks the final answer of the answer; s40, adding or subtracting the scores of the knowledge points related to the student answers according to the student answer results; if the score is higher than the set ascending and descending threshold value, ascending and descending the mastery level of the student at the knowledge point; s50, pushing the difficulty question corresponding to the knowledge point mastering level according to the knowledge point mastering level appointed by the student, and repeatedly training the knowledge point until the learning level of the knowledge point reaches a preset target. According to the invention, through the AI auxiliary function, a teacher saves the work of repeatedly reviewing the test paper, so that the time is saved, and better teaching is realized.
Description
Technical Field
The invention relates to application of answering questions in the K12 education field, in particular to a method for assisting training answering questions in a computer in K12 teaching.
Background
At present, in a K12 teaching mode: the teacher corrects the student's examination paper in batches with huge workload, high work repeatability and little benefit to the teaching result. In the existing intelligent teaching platform, automatic correction of objective questions (selection questions, blank filling questions and the like) is already realized. But for the solution questions which account for the middle school teaching, no automatic batch improvement solution is provided. Therefore, only the automatic correction of objective questions can not solve the fundamental problems of repetitive work and small benefit of teachers in teaching, and the automatic correction of answer questions is solved, which is a difficult problem to be solved at present.
The main difficulty of the automatic correction of the answer questions is that the answer steps of each student for the answer questions may be different, so that the computer is difficult to carry out automatic correction through the set rules.
Disclosure of Invention
In order to solve the technical problems in practice, the invention provides a method for assisting in training solution questions in a computer in K12 teaching, which achieves the purpose of verifying whether students master solution questions containing knowledge points by checking final answers and repeatedly pushing questions with the same knowledge points on the basis of the step of fuzzification processing solution questions. The method effectively reduces the burden of teachers in teaching and better improves the teaching and research quality of teachers.
The technical scheme adopted by the invention for solving the technical problems is as follows:
a method for assisting training of answering questions in K12 teaching by a computer is mainly realized by the following steps:
s10 when the student uses for the first time, the system generates a knowledge point scoring matrix, each knowledge point which the student needs to master corresponds to a score and a master grade;
s20 pushing the question according to the appointed knowledge point;
s30, after the student submits the answer, the system fuzzifies the answer process, and simultaneously checks the final answer of the answer;
s40, adding or subtracting the scores of the knowledge points related to the student answers according to the student answer results; if the score is higher than the set ascending and descending threshold value, ascending and descending the mastery level of the student at the knowledge point;
s50, pushing the difficulty question corresponding to the knowledge point mastering level according to the knowledge point mastering level appointed by the student, and repeatedly training the knowledge point until the learning level of the knowledge point reaches a preset target.
In a preferred embodiment of the present invention, in step S40, the knowledge point score is added or subtracted based on the student answer result.
As a preferred technical scheme of the invention, in step S50, the difficulty learning questions corresponding to the weak knowledge points of the students are pushed for multiple times until the learning level of the knowledge points reaches a preset target, so as to achieve the purpose of assisting the students in solving the problems and training.
The invention has the beneficial effects that:
the invention can lead teachers to better teach and study in a relaxed environment, thereby improving the teaching quality; through AI auxiliary function, the teacher saves the work of repeated reviewing paper, can directly look over the result feedback after the AI reviewing, saves time and can audio-visually know every student's the study condition, and then realizes better teaching.
Drawings
FIG. 1 is a flow chart of the present invention.
Detailed Description
A method for assisting training of answering questions in K12 teaching by computer mainly includes judging the mastering situation of knowledge points according to the answers submitted by students and repeatedly pushing the questions with the same knowledge points to assist the students in mastering the knowledge points.
The following describes the implementation of the present invention in detail with reference to fig. 1:
for the students using the system for the first time, the system generates a knowledge point scoring matrix for the students, and each knowledge point corresponds to a score and a grasp level. The addition score S of each knowledge point is preset to be zero, the deduction score N is carried out, and the preset zero grasping level L is set to be zero. And presetting a knowledge point score upgrading threshold P and a knowledge point score downgrading threshold D. The grade-raising threshold value P is used for raising the grade L of the student knowledge point when the score S of the student knowledge point is larger than P, and similarly, the grade-lowering threshold value D is used for lowering the judgment of the grade L of the student knowledge point, and when the score N of the student knowledge point is larger than D, the grade L of the student knowledge point is lowered. The P value and the D value of each knowledge point are different, and the values of the P value and the D value depend on factors such as difficulty, importance degree and the like of the knowledge point, as follows:
the teacher designates the knowledge points to be investigated, and the system pushes corresponding answers according to the knowledge points and the mastery level of the students at the knowledge points.
In the system, the answer to be submitted is divided into two parts, including an answer step and a final answer, wherein the answer step is a subjective answer process of students, and the final answer is unique.
The system fuzzifies the problem solving steps submitted by the students, only judges whether the steps contain key numbers or characters, and compares the final answers. When the final answer is correct, the answer is judged to be correct. When the answer is wrong, if the step includes the keywords and the ratio of the included keywords to all the keywords exceeds 50%, judging that the answer of part of the question is correct, otherwise, judging that the answer of the question is wrong.
And performing plus-minus division on the knowledge point scores related to the solution questions according to the comparison result. The answer is correct and the answer is correct,
the score S is increased by ten; partial answers are correct, and the score S is increased by five times; the answer is wrong, and the deduction of the knowledge points is increased by ten. The specific bonus point value of the title can be set according to the actual situation.
And when the knowledge point score S is larger than the lifting level threshold value P at the moment, adding one to the knowledge point mastering level L. And when the knowledge point subtraction score N is larger than the reduction level threshold value D, reducing the knowledge point mastering level L by one, and if the knowledge point is at the lowest level zero, not performing degradation processing. When the mastery level of the knowledge point changes, the current knowledge point plus score S and the knowledge point minus score N of the knowledge point are reset to zero at the same time.
And judging whether the current mastery level L of the student at the knowledge point reaches an expected mastery level.
If the student does not reach the expectation in the mastery level of the knowledge point, pushing the difficulty questions corresponding to the current mastery level of the knowledge point, and continuing training until the mastery level L of the knowledge point reaches the expectation.
Although a method for implementing the present invention has been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (3)
1. A method for assisting training answering questions in K12 teaching by a computer is characterized by mainly comprising the following steps:
s10 when the student uses for the first time, the system generates a knowledge point scoring matrix, each knowledge point which the student needs to master corresponds to a score and a master grade;
s20 pushing the question according to the appointed knowledge point;
s30, after the student submits the answer, the system fuzzifies the answer process, and simultaneously checks the final answer of the answer;
s40, adding or subtracting the scores of the knowledge points related to the student answers according to the student answer results; if the score is higher than the set ascending and descending threshold value, ascending and descending the mastery level of the student at the knowledge point;
s50, pushing the difficulty question corresponding to the knowledge point mastering level according to the knowledge point mastering level appointed by the student, and repeatedly training the knowledge point until the learning level of the knowledge point reaches a preset target.
2. The method for computer aided training of answering questions in K12 teaching of claim 1, wherein: in step S40, the knowledge point score is added or subtracted based on the student answer result.
3. The method for computer aided training of answering questions in K12 teaching of claim 1, wherein: in step S50, the difficulty learning items corresponding to the weak knowledge points of the students are pushed for multiple times until the learning level of the knowledge points reaches a preset target, so as to assist the students in solving the problem training.
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Cited By (3)
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| CN113066358A (en) * | 2021-04-14 | 2021-07-02 | 吴光银 | Science teaching auxiliary system |
| CN114120734A (en) * | 2021-11-30 | 2022-03-01 | 江苏恒尚信息系统集成服务有限公司 | Online skill training method |
| WO2023071505A1 (en) * | 2021-10-27 | 2023-05-04 | 北京有竹居网络技术有限公司 | Question recommendation method and apparatus, and computer device and storage medium |
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