CN116386404A - Course interaction method based on artificial intelligence - Google Patents

Abstract

This application discloses an artificial intelligence-based course interaction method, which includes logging in to the teacher-side device through a teacher account, and logging in to the student-side device through a student account; The device controls the student-end equipment, and transmits the teaching lesson plans to the student-end equipment for display; marks the teaching lesson plans through the student-end equipment, and determines the teaching difficulties according to the marks, and transmits them to the teacher-end equipment; based on the teaching difficulties, Make statistics on the knowledge points corresponding to the teaching difficulties to obtain the knowledge point statistics; modify and improve the teaching plan based on the knowledge point statistics data, and arrange targeted tasks for the students' teaching plan, and output the teaching plan; based on the teaching plan The performance of the students is tested, and the implementation effect of the teaching plan is judged according to the test results. This application has the effect of improving the interaction effect in the course.

Description

An Artificial Intelligence-Based Course Interaction Method

technical field

This application relates to the field of teaching equipment, in particular to an artificial intelligence-based course interaction method.

Background technique

With the development of science and technology, more diverse teaching methods have emerged regarding the learning methods of students and the teaching methods of teachers, such as online teaching and new teaching interaction methods based on new teaching equipment. Compared with traditional classroom teaching, novel teaching methods can attract students' attention more, and at the same time provide convenience for teaching methods, so that teachers' teaching scope is no longer limited to textbooks.

In related technologies, the lecturer supervision module monitors the facial information and body information of students in the classroom, and then analyzes and judges the monitored data through artificial intelligence to obtain the concentration of students in the classroom teaching process. The questions are integrated and scored to determine the students' knowledge mastery, and feedback to the teacher's end, which is convenient for the teacher to master and supervise the students' learning.

Regarding the related technologies mentioned above, due to the limited energy and time of the teacher in the classroom teaching process, the teacher's teaching focus should be mostly on the teaching of knowledge points, so that the teacher cannot focus on the monitoring of students' small movements. It is impossible to take care of everyone, so when monitoring each student, the monitored data loses its original meaning. At the same time, due to the different problems of students with different learning progress, it is impossible to target students with different learning progress. Teaching interaction, so that the effect of course interaction is reduced, and there is room for improvement.

Contents of the invention

In order to improve the interaction effect in the course, the application provides an artificial intelligence-based course interaction method.

In the first aspect, the application provides an artificial intelligence-based course interaction method, which adopts the following technical solution:

An artificial intelligence-based course interaction method, including:

Log in to the teacher's device through the teacher's account, and log in to the student's device through the student's account;

Connect the teacher-side device with the student-side device, and control the student-side device through the teacher-side device, and transmit the teaching lesson plans to the student-side device for display;

Mark the teaching lesson plans through the student-end equipment, and determine the teaching difficulties according to the marking, and transmit them to the teacher-end equipment;

Based on the teaching difficulties, the knowledge points corresponding to the teaching difficulties are counted to obtain the statistical data of the knowledge points;

Modify and improve the teaching plan based on the statistical data of knowledge points, and assign targeted tasks to the students' teaching plan, and output the teaching plan;

Based on the teaching plan, the performance of the students is tested, and the implementation effect of the teaching plan is judged according to the test results.

Preferably, during the teaching process, the student terminal device displays the teacher's teaching lesson plan and teaching progress in real time;

Set the operation priority of the teacher-side device and the student-side device; the operation priority of the student-side device is higher than that of the teacher-side device;

The teacher-side device outputs a synchronization signal to the student-side device, and the student-side device receives the synchronization signal and displays it synchronously;

Students use the student-end equipment to mark the teaching difficulties that they do not understand in real time, and generate a marking signal to output to the teacher-end equipment.

Preferably, when the students need to mark the teaching difficulties that they do not understand, and the teaching difficulties to be marked are not in the current display content, the student terminal device performs page turning operation on the teaching copy that is being displayed synchronously, so that the student terminal device displays to The location of the teaching difficulties to be marked and marked;

After marking is completed, the student-end device receives the synchronization signal sent by the teacher-end device, and displays the teacher's teaching content synchronously again.

Preferably, the teacher-end device receives the teaching difficulty data and converts the teaching difficulty into corresponding knowledge points, and at the same time counts the knowledge points to obtain knowledge point statistics;

Sort the statistical data of knowledge points according to the number of times to obtain the knowledge point arrangement data;

Based on the device information of the sending end in the teaching difficulty data, the marked teaching difficulty is matched with the student information, and the corresponding matching is stored in the knowledge point statistics data;

Classify the statistical data of knowledge points of the same device information to obtain the statistical data of difficult points corresponding to different student-end devices.

Preferably, the data is arranged based on the knowledge points, and the knowledge points that appear more frequently are added to the subsequent teaching lesson plans;

At the same time, count the marked students of the same knowledge point, and analyze the information of the marked students to determine the reason for marking the knowledge point;

Based on the statistical data of difficulties, correspondingly analyze the problems existing in the teaching process of students, and formulate targeted teaching tasks for students according to the existing problems, and obtain teaching plans;

By collecting and testing the performance of students' tasks in the teaching plan, to determine the corresponding learning status of different students to obtain feedback data;

And judge the implementation effect of the teaching plan according to the feedback data, and give positive feedback to the teacher according to the judged implementation effect.

Preferably, according to the daily performance, the student information is marked, and the student information is matched with the student terminal device; the student information includes students with excellent academic performance, students with poor academic performance, and students with medium academic performance;

If the counted number of times of the same knowledge point includes more times of students with excellent grades, it is judged that the knowledge point is difficult to understand and is not explained clearly during the explanation, so as to remind the teacher to re-explain the knowledge point;

If the counted number of times of the same knowledge point includes more students with middle grades, it is determined that the knowledge point is difficult for ordinary students to understand, so as to remind the teacher to add the knowledge point to the subsequent teaching lesson plans ;

If the number of times of the same knowledge point counted includes more times of students with poor grades and the number of times of the knowledge point is less, then targeted task assignments are carried out for the students.

Preferably, the teaching lesson data is transmitted to the teacher's device through an external storage device and displayed;

The teacher terminal outputs the synchronization signal to the student terminal equipment, and the student terminal equipment receives the synchronization signal and displays it synchronously;

The student terminal device receives the teaching lesson data and matches corresponding knowledge point expansion according to the lesson outline contained in the teaching lesson data; the knowledge point expansion includes alternative memory methods and expansion transformation formulas related to knowledge points.

In the second aspect, the application provides an artificial intelligence-based course interaction system, which adopts the following technical solutions:

An artificial intelligence-based course interaction system, including a teacher-side device and a student-side device, the teacher-side device including a lesson case display module, a data statistics module, a data analysis module, and a data feedback module;

The lesson case display module is used to receive and display the teaching lesson data in the external storage device, and output a synchronization signal at the same time;

The data statistics module is used to receive and count the teaching difficulty data output by the student terminal equipment to obtain the corresponding knowledge point data, and at the same time match the teaching difficulty data with the output device information and student information, and count the knowledge point data of the same student The data is counted to obtain the corresponding difficult statistical data of different students;

The data analysis module is signal-connected with the data statistics module, and is used to receive the statistical data of the knowledge points and the statistical data of the difficult points, and adjust the teaching plan in real time according to the statistical data of the knowledge points, and conduct a real-time adjustment for the students according to the statistical data of the difficult points. Targeted teaching arrangements, and get the teaching plan;

The data feedback module is signal-connected to the student-end device, and is used to receive a feedback signal output by the student-end device, and adjust the teaching plan based on the feedback signal;

The student terminal device includes a display synchronization module, a difficult point marking module and a teaching feedback module;

The display synchronization module is signal-connected to the lesson display module for receiving and displaying the synchronization signal;

The difficulty marking module is signal-connected to the display synchronization module, and is used to mark the difficulty of the teaching lesson case being displayed synchronously, and output teaching difficulty data;

The teaching feedback module is signal-connected to the data feedback module, and is used for supervising and counting the implementation of the teaching scheme, and outputting a feedback signal.

Preferably, the data analysis module reads the student information in the knowledge point statistical data, and performs statistics on the student category according to the student information to determine the reason for marking, wherein the student category is the feedback signal feedback The obtained student performance information, and classify the students according to the student performance information to obtain the classification level;

If there are more students with excellent grades in the student category of the same knowledge point obtained from the statistics, it is judged that the knowledge point is more difficult and cannot be explained clearly during the explanation;

If there are more students with medium grades in the student category of the same knowledge point obtained by statistics, it is determined that the knowledge point is more difficult to remind the teacher to add the knowledge point to the subsequent teaching lesson plans;

If there are many students with poor grades in the student category of the same knowledge point obtained through the statistics and the statistics of the knowledge point are relatively small, a targeted teaching plan arrangement will be made for the corresponding students.

In summary, the present application includes at least one of the following beneficial technical effects:

1. Students mark the teaching difficulty points on the teaching lesson plans on the student-end device, and transmit the teaching difficulty mark to the teacher-end device, and then match the knowledge points of the teaching difficulty points and count the matched results to obtain knowledge Point statistical data, so that the teacher can grasp and understand the learning status in the teaching process through the knowledge point statistical data. At the same time, based on the knowledge point statistical data, the teaching plan is modified so that the teaching plan matches the learning situation of the students. The learning effect of students in the interactive process; at the same time, according to the statistical data of knowledge points, the learning status of the same student is mastered to determine the targeted teaching plan layout for students, so that students can learn and progress more efficiently; and then according to the teaching The program detects the learning status of the students for feedback, which further promotes the matching degree between the teacher's teaching method and the students, thereby strengthening the learning effect of the students and improving the interaction effect;

2. With the help of setting the priority of the operation of the teacher's device to the student's device and the operation of the student's operation on the student's device, when marking the teaching difficulty, when the teaching difficulty to be marked is not in the current display content, through the student's The operation priority of the student-end device is higher, so that the display content of the student-end device can be modified to ensure the accuracy of the mark when marking the teaching difficulties. After the operation is marked, the student-end device passes the synchronization signal reading, so that the student-end device can be synchronized with the teacher's teaching content again, reducing the impact on the marking of difficult teaching points in the future, and reducing the process of multiple operations on the student-end device, making it more intelligent;

3. The comprehensive use of knowledge point statistical data and the labeling of student information makes it possible to assist in judging the reasons for knowledge point labeling based on the grades in student information during data analysis, that is, students with excellent grades are more likely to mark the same knowledge point. For a long time, it is judged that it is difficult to understand the knowledge points. When the proportion of students with medium grades is large, it is judged as a common problem, and the teacher needs to adjust the teaching lesson plan and teaching plan; when the proportion of students with poor grades is more And when the number of times is small, according to the knowledge points, a targeted teaching plan is arranged for this type of students to improve the consolidation of the knowledge points; through the analysis of different situations, the teacher can carry out targeted teaching for students according to different learning situations , thereby enhancing the interactive effect in the course.

Description of drawings

Fig. 1 mainly embodies the step flowchart of the course interaction method based on artificial intelligence in this embodiment;

Fig. 2 mainly embodies the sub-step flowchart of S200 in the course interaction method based on artificial intelligence in this embodiment;

Fig. 3 mainly embodies the sub-step flowchart of S300 in the course interaction method based on artificial intelligence in this embodiment;

Fig. 4 mainly embodies the sub-step flowchart of S400 in the course interaction method based on artificial intelligence in this embodiment;

Fig. 5 mainly embodies the sub-step flowchart of S500 in the course interaction method based on artificial intelligence in this embodiment;

FIG. 6 is a flow chart of the sub-steps of S520 in the present embodiment mainly embodying the course interaction method based on artificial intelligence;

FIG. 7 is a module block diagram of the present embodiment mainly embodying the course interaction system based on artificial intelligence.

Reference signs: 1. Teacher-end equipment; 11. Lesson display module; 12. Data statistics module; 13. Data analysis module; 14. Data feedback module; 2. Student-end equipment; 21. Display synchronization module; 22. Difficulties Marking module; 23. Teaching feedback module.

Detailed ways

The present application will be described in further detail below in conjunction with accompanying drawings 1-7.

The embodiment of the present application discloses an artificial intelligence-based course interaction method.

Embodiment: As shown in Figure 1, a kind of artificial intelligence-based course interaction method of the present invention comprises:

S100, log in to the teacher-end device 1 through the teacher account, and log in to the student-end device 2 through the student account.

S200, connect the teacher-end device 1 with the student-end device 2, and control the student-end device 2 through the teacher-end device 1, and transmit the teaching lesson plan to the student-end device 2 for display.

S300. Mark the teaching lesson plans through the student-end device 2, determine teaching difficulties according to the marks, and transmit to the teacher-end device 1.

S400. Based on the teaching difficulties, make statistics on the knowledge points corresponding to the teaching difficulties, so as to obtain the statistical data of the knowledge points.

S500, modify and improve the teaching plan based on the statistical data of knowledge points, and assign targeted tasks to the students' teaching plan, and output the teaching plan.

S600, detecting the performance of the students based on the teaching plan, and judging the implementation effect of the teaching plan according to the test result.

Referring to FIG. 2, in step S200, the teacher-side device 1 is connected to the student-side device 2, and the student-side device 2 can be controlled through the teacher-side device 1, and the teaching lesson plan is transmitted to the student-side device 2 for display. Include the following sub-steps:

S210: Transmit the teaching lesson data to the teacher's device 1 through the external storage device, and display it. The teaching lesson plan is transmitted through the external storage device, so that the preparation of the teacher's teaching lesson plan is not affected by the equipment, and the flexibility of the teaching lesson plan is increased.

S220, the teacher terminal outputs a synchronization signal to the student terminal device 2, and the student terminal device 2 receives the synchronization signal and displays it synchronously. By synchronously displaying the teaching lesson plans to the student terminal device 2, it is convenient for students to mark the places they do not understand at any time during the listening process, reduce the error of marking, prepare for the subsequent statistical analysis, and strengthen the accuracy of statistical analysis .

S230, the student terminal device 2 receives the teaching lesson data and correspondingly matches the corresponding knowledge point expansion according to the lesson outline contained in the teaching lesson data; the knowledge point expansion includes alternative memory methods and expansion conversion formulas related to the knowledge points . Through the lesson data displayed in the student terminal device 2, the learned knowledge points are deeply expanded to meet the needs of various student groups for knowledge points, and at the same time assist students to memorize and master the knowledge points through alternative memory methods. At the same time, by expanding the formula, the student group can better apply the knowledge points to the actual problem solving, which strengthens the learning effect and improves the interaction effect in the course interaction.

In this embodiment, the teacher transmits the teaching lesson plans to the teacher-end device 1 for display through the external storage device, which facilitates the teacher to modify and adjust the teaching lesson plans, reduces the dependence on the teacher-end device 1, and synchronizes the display effect It is transmitted to the student terminal device 2, and the student terminal device 2 matches and expands the knowledge points in the teaching lesson plan through the received teaching lesson outline, so that students can use the knowledge points to expand their grasp and understanding of the knowledge points in daily use. Comprehension provides an auxiliary function, and at the same time, through the expansion formula of knowledge points, it can have unexpected effects in practical application and strengthen the learning effect.

Referring to Fig. 3, in step S300, the teaching lesson plan is marked through the student terminal device 2, and the teaching difficulty is determined according to the mark, and transmitted to the teacher terminal device 1, including the following sub-steps:

S310, during the teaching process, the student terminal device 2 displays the teacher's teaching lesson plan and teaching progress in real time.

S320, setting the operation priorities of the teacher-end device 1 and the student-end device 2. The operation priority of the student-side device 2 is higher than the operation priority of the teacher-side device 1 . When students are marking, the teacher's teaching lesson display page has already occurred, so that when marking, the knowledge points marked are not the knowledge points to be marked, and by setting the operation priority of the student terminal device 2, it can When the students turn the pages of the teaching lesson plans, they turn the pages of the teaching lesson plans in the student-end device 2 and mark them again, which increases the accuracy of the marking, and does not affect the teacher-end device 1 and other student devices.

S330, the teacher-side device 1 outputs a synchronization signal to the student-side device 2, and the student-side device 2 receives the synchronization signal and displays it synchronously.

S340, the students mark the teaching difficulties they do not understand in real time through the student-side device 2, and generate a mark signal to output to the teacher-side device 1.

In this embodiment, the teacher-side device 1 sends the teaching courseware to the student-side device 2 for synchronous display, and then sets the priority of the student-side device 2 so that students can flexibly control the student-side device 2 during use. The application increases its flexibility and avoids mechanized operation.

Referring to Fig. 3, in step S340, the students mark the teaching difficulties they do not understand in real time through the student-side device 2, and generate a mark signal to output to the teacher-side device 1, including the following sub-steps:

S341, when the student needs to mark the teaching difficulty that is not understood, and the teaching difficulty to be marked is not in the current display content, use the student-end device 2 to perform a page-turning operation on the teaching copy that is being displayed synchronously, so that the student-end device 2 displays Go to the location of the teaching difficulty to be marked and mark it. Through the judgment of the operation priority of the student-side device 2, that is, the priority of the operation of the student-side device 2 itself is higher than the priority of the control operation of the teacher-side device 1 on the student-side device 2, so that students can flexibly change the display content of the student-side device 2 , to enhance the operability of the students on the student terminal device 2, and at the same time make the marking positions of the teaching difficult points consistent with the actual situation, and enhance the interactive effect.

S342, after marking is completed, the student-side device 2 receives the synchronization signal sent by the teacher-side device 1, and displays the teacher's teaching content synchronously again. After the marking operation of the student-end device 2 is completed, the student-end device 2 will synchronously display the teacher's teaching content again through the received synchronization signal.

Referring to Fig. 4, in step S400, based on the teaching difficulties, the knowledge points corresponding to the teaching difficulties are counted to obtain the statistical data of the knowledge points, including the following sub-steps:

S410, the teacher-side device 1 receives the teaching difficulty data and converts the teaching difficulty into corresponding knowledge points, and at the same time counts the knowledge points to obtain knowledge point statistics. According to the location of the teaching lesson plan marked by the teaching difficulty data, determine the knowledge point content of the current teaching lesson plan location, and make statistics on the knowledge point data of the same content, so as to facilitate the grasp of the teacher's teaching effect and the student's learning effect.

S420. Sorting the statistical data of knowledge points according to the number of times, so as to obtain knowledge point arrangement data. Through the size arrangement, the teacher can clearly know the concentration points of the students' problems in the teaching process, and it is convenient for the teacher to grasp the teaching methods, teaching progress and teaching difficulties.

S430. Based on the device information of the sending end in the teaching difficulty data, match the marked teaching difficulty with the student information, and store the corresponding matching in the knowledge point statistics data. Match the sending end equipment of teaching difficulties with the information of students, so that teachers can accurately know the learning situation of specific students when checking the teaching difficulties, so as to make targeted teaching arrangements for students.

S440. Classify the knowledge point statistical data of the same device information to obtain difficult point statistical data corresponding to different student end devices 2 .

Referring to Figure 5, in steps S500 and S600, the teaching plan is modified and improved based on the statistical data of knowledge points, and the teaching plan of the students is assigned targeted tasks, and the teaching plan is output and the performance of the students is detected based on the teaching plan. And judge the implementation effect of the teaching plan according to the test results, including the following sub-steps:

S510, arranging the data based on the knowledge points, and adding the knowledge points that appear more frequently to the subsequent teaching lesson plans. By viewing the knowledge point arrangement data, teachers can quickly determine the difficulties in the knowledge teaching process and the students' learning situation of this type of knowledge points, so as to facilitate real-time adjustments in their own teaching plans and the teaching progress and teaching progress. Adjust the way to make it match with the students, so as to improve the learning effect of the students.

S520, counting the marked students of the same knowledge point at the same time, and analyzing according to the information of the marked students to determine the reason for marking the knowledge point. Through the statistics of the proportion of students in the same knowledge point, the main group of people marked by the knowledge point can be judged, and the reason why the knowledge point is marked is analyzed according to the main group, internal or external, teacher or student. .

S530, based on the statistical data of difficulties, correspondingly analyze the problems existing in the teaching process of students, and formulate targeted teaching tasks for students according to the existing problems, and obtain teaching plans. By counting all the teaching difficulties of the same student in the teaching process, the teacher can clarify the shortcomings and shortcomings of the student in the teaching process through the statistics of the difficult points, so as to carry out targeted teaching for the student The tasks are formulated and correspondingly generated teaching plans enable teachers to conduct targeted teaching to students and enable students to make more comprehensive progress.

S540, by collecting and testing the performance of the tasks of the students in the teaching plan, to determine the corresponding learning status of different students, so as to obtain feedback data. By collecting the performance of the students, it is possible to judge the degree of matching between the corresponding teaching plan and the student, and to determine whether the student has made learning progress under the teaching plan. Exemplarily, the homework tasks of the students are adjusted according to the basis of the students, so that the strong knowledge points of the students can be strengthened, and the weak knowledge points of the students can be checked and filled, so as to improve the learning effect of the students.

S550, judging the implementation effect of the teaching plan according to the feedback data, and giving positive feedback to the teacher terminal according to the judged implementation effect. According to the detected feedback data, the matching degree of the teaching plan is judged, and then the teaching plan is improved through the matching degree, so as to form a positive cycle, so that students can have a learning plan that matches themselves, and improve the students' academic performance. Improved interactions.

Referring to Fig. 6, in step S520, count the marked students of the same knowledge point at the same time, and analyze according to the marked student information to determine the reason for marking the knowledge point, including the following sub-steps:

S521. Mark the student information according to the daily performance, and match the student information with the student terminal device 2 . The student information includes students with excellent academic performance, students with poor academic performance, and students with medium academic performance. Through the students' daily learning performance, the student information is marked and classified, so that the teacher can quickly grasp the learning status of various students when performing data statistics.

S522, if the counted number of times of the same knowledge point includes more times of students with excellent grades, it is determined that the knowledge point is difficult to understand and is not clearly explained during the explanation, so as to remind the teacher to re-explain the knowledge point . Since students with excellent grades have solid basic knowledge, fast learning ability, and can well receive and absorb the knowledge imparted by the teacher, so in the teaching process, if students with excellent grades do not understand the situation, it means that the marked knowledge points It has a certain degree of difficulty and/or the teacher's explanation is simple and easy to understand during the explanation process. It is necessary to remind the teacher's teaching method to re-explain the knowledge points in detail.

S523, if the counted number of times of the same knowledge point includes more times of middle-grade students, then it is determined that the knowledge point is more difficult for ordinary students to understand, so as to remind the teacher to add the knowledge point to the subsequent teaching class case. A large proportion of students with medium grades indicates that the knowledge point of the mark is generally not understood, but it does not hinder the understanding of students with excellent grades. Therefore, it is necessary to explain the difficult part of the knowledge point without affecting the teaching progress. Explain with strong emphasis to ensure that most students can follow the instruction.

S524. If the counted times of the same knowledge point include more times of students with poor grades and the number of times of the knowledge point is less, assign targeted tasks to the students. If the proportion of students with poor grades is large, and the total amount of problems is small, the teacher can arrange targeted knowledge points for this type of students so that they can learn under the normal teaching progress, so as not to affect the learning progress of other students Re-learn this knowledge point, and then consolidate the process.

Based on the description of the above-mentioned embodiment of the course interaction method based on artificial intelligence, the embodiment of the present invention also discloses a course interaction system based on artificial intelligence:

As shown in Figure 7, a course interaction system based on artificial intelligence includes: a teacher-side device 1 and a student-side device 2, and the teacher-side device 1 includes a lesson case display module 11, a data statistics module 12, a data analysis module 13 and a data analysis module 13. Feedback module 14.

The lesson case display module 11 is connected with the student terminal device 2 by signal, and is used to receive and display the teaching lesson data in the external storage device, and output a synchronous signal to the student terminal device 2 at the same time.

The data statistics module 12 is connected to the student terminal device 2 with a signal, and is used to receive and count the teaching difficulty data output by the student terminal device 2, and match the teaching difficulty data with the output device information and student information to obtain knowledge point statistical data, and at the same time According to the statistical data of knowledge points, the teaching difficulty data of the same student is counted to obtain the corresponding difficult statistical data of different students.

The data analysis module 13 is connected with the signal of the data statistics module 12, and is used to receive the statistical data of knowledge points and analyze the reasons for marking the statistical data of knowledge points to adjust the teaching plan, and is used to receive the statistical data of difficult points to carry out targeted education for different students. Teaching arrangements, and output teaching programs.

The data feedback module 14 is signal-connected with the student-end device 2 for receiving the feedback signal output by the student-end device 2, and adjusting the teaching plan according to the feedback signal, so that students can improve according to the teaching plan.

The student terminal device 2 includes a display synchronization module 21 , a difficult point marking module 22 and a teaching feedback module 23 , and the display synchronization module 21 is connected to the lesson display module 11 by a signal for receiving a synchronization signal and displaying it synchronously. Difficulty marking module 22 is signally connected with display synchronization module 21 and data statistics module 12, and is used for marking difficult points of teaching lesson plans in synchronous display, and output teaching difficulty data to data statistics module 12. The teaching feedback module 23 is signal-connected with the data feedback module 14, and is used for monitoring and counting the implementation effect of the teaching scheme, and outputting a feedback signal.

During operation, the teacher transmits the teaching lesson plan to be taught to the lesson display module 11 of the teacher-end device 1 through the external storage device, and displays it, and simultaneously outputs a synchronization signal to the display synchronization module 21 of the student-end device 2 for display.

During the teaching process, the students mark the teaching content that they did not understand through the difficulty marking module 22 , and transmit the marked teaching difficulty data to the data statistics module 12 . After the teaching is over, the data statistics module 12 counts the knowledge points corresponding to the teaching difficulty data to obtain the knowledge point statistical data, and performs statistics on the knowledge points corresponding to the teaching difficult point data output by the same device to obtain the difficult point statistical data. The data analysis module 13 receives the knowledge point statistical data and difficult point statistical data, and performs classification and statistics according to the corresponding student types in the knowledge point statistical data to determine the number of types of students in the same knowledge point, and perform analysis according to the number of types. At the same time, according to the statistical data of difficult points, students will be arranged to consolidate targeted teaching knowledge points.

For example, if the statistical result shows that there are more students with excellent grades, it is determined that the knowledge point is difficult and the explanation is not clear, so the teacher needs to adjust the subsequent teaching plan and teaching plan. If the statistical result shows that there are more students with medium grades, it is judged that the knowledge point is difficult, and the explanation is not clear enough for ordinary students, and the knowledge point needs to be explained in the subsequent teaching lesson plans. If the statistical result shows that the proportion of students with poor grades is relatively large and the number of statistics is small, a targeted teaching plan arrangement will be made for such students so that they can check for omissions and make up for vacancies and consolidate them.

Compared with the existing artificial intelligence-based course interaction method, the present invention improves the interaction effect in the course.

All of the above are preferred embodiments of the application, and are not intended to limit the protection scope of the application. Therefore, all equivalent changes made according to the structure, shape, and principle of the application should be covered by the protection scope of the application. Inside.

Claims (9)

1. An artificial intelligence based course interaction method, comprising:

logging in to the teacher end device (1) through a teacher account, and logging in to the student end device (2) through a student account;

the teacher end device (1) is connected with the student end device (2), the student end device (2) can be controlled by the teacher end device (1), and the teaching lesson scheme is transmitted to the student end device (2) for display;

marking a teaching course by using student end equipment (2), determining teaching difficulty according to the marking, and transmitting the teaching difficulty to teacher end equipment (1);

based on the teaching difficulty, counting the knowledge points corresponding to the teaching difficulty to obtain knowledge point statistical data;

modifying and improving the teaching scheme based on the knowledge point statistical data, performing targeted task arrangement on the teaching scheme of the student, and outputting the teaching scheme;

and detecting the performance of the students based on the teaching scheme, and judging the implementation effect of the teaching scheme according to the detection result.

2. The artificial intelligence based course interaction method of claim 1, wherein: the teaching course is marked by the student end equipment (2), teaching difficulty is determined according to the marking, and the teaching difficulty is transmitted to the teacher end equipment (1), and the method specifically comprises the following steps:

in the teaching process, the student terminal equipment (2) displays the teaching course and the teaching progress of a teacher in real time;

setting operation priorities of teacher end equipment (1) and student end equipment (2); wherein the operation priority of the student side equipment (2) is greater than the operation priority of the teacher side equipment (1);

the teacher end device (1) outputs a synchronous signal to the student end device (2), and the student end device (2) receives the synchronous signal and synchronously displays the synchronous signal;

the students mark the unintelligible teaching difficulties in real time through student end equipment (2) and generate marking signals to output to the teacher end equipment (1).

3. The artificial intelligence based course interaction method of claim 2, wherein: the student marks the unintelligible teaching difficulty through the student terminal equipment (2) in real time and generates a marking signal to be output to the teacher terminal equipment (1), and the method specifically comprises the following steps:

when students need to mark unintelligible teaching difficulties and the teaching difficulties to be marked are not in the current display content, page turning operation is carried out on the teaching document which is synchronously displayed through student end equipment (2), so that the student end equipment (2) displays the position of the teaching difficulty to be marked and marks the position;

after the marking is finished, the student terminal device (2) receives the synchronous signal sent by the teacher terminal device (1) and synchronously displays the teaching content of the teacher again.

4. The artificial intelligence based course interaction method of claim 1, wherein: based on the teaching difficulty, the step of counting the knowledge points corresponding to the teaching difficulty to obtain knowledge point statistical data specifically comprises the following steps:

the teacher end device (1) receives teaching difficulty data and converts the teaching difficulty into corresponding knowledge points, and meanwhile, the knowledge points are counted to obtain knowledge point statistic data;

sequencing the knowledge point statistics data according to the number of times to obtain knowledge point arrangement data;

based on the equipment information of the transmitting end in the teaching difficulty data, matching the marked teaching difficulty with the student information, and correspondingly matching and storing the teaching difficulty into knowledge point statistical data;

the knowledge point statistical data of the same equipment information is classified to obtain difficulty statistical data corresponding to different student end equipment (2).

5. The artificial intelligence based course interaction method of claim 4, wherein: the method comprises the steps of modifying and improving a teaching scheme based on knowledge point statistical data, carrying out targeted task arrangement on the teaching scheme of a student, outputting the teaching scheme, detecting the performance of the student based on the teaching scheme, and judging the implementation effect of the teaching scheme according to the detection result, wherein the method specifically comprises the following steps:

based on the knowledge point arrangement data, adding the knowledge points with more occurrence times into the subsequent teaching class;

meanwhile, counting the marked students of the same knowledge point, and analyzing according to the marked student information to judge the marking reason of the knowledge point;

based on the difficulty statistics data, correspondingly analyzing problems existing in the teaching process of students, and making targeted teaching tasks for the students according to the existing problems to obtain a teaching scheme;

the method comprises the steps of acquiring and detecting task performance conditions of students in a teaching scheme to determine learning conditions corresponding to different students so as to obtain feedback data;

and judging the implementation effect of the teaching scheme according to the feedback data, and performing positive feedback on the teacher end according to the judged implementation effect.

6. The artificial intelligence based course interaction method of claim 5, wherein: the step of simultaneously counting the marked students of the same knowledge point and analyzing according to the information of the marked students to judge the marking reason of the knowledge point specifically comprises the following steps:

marking student information according to daily performances, and matching the student information with student terminal equipment (2); the student information comprises students with excellent learning performance, students with poor learning performance, students with medium learning performance and the like;

if the counted times of the same knowledge points comprise more times of the students with excellent performance, judging that the knowledge points are difficult to understand and are not interpreted clearly in explanation, so as to remind a teacher to explain the knowledge points again;

if the counted times of the same knowledge points comprise more times of students with moderate results, judging that the knowledge points have higher understanding difficulty to common students so as to remind a teacher to add the knowledge points into a later teaching class;

and if the counted times of the same knowledge points comprise more times of students with poor performance and fewer times of the knowledge points, carrying out targeted task arrangement on the students.

7. The artificial intelligence based course interaction method of claim 1, wherein: the method comprises the steps of connecting teacher end equipment (1) with student end equipment (2), controlling the student end equipment (2) through the teacher end equipment (1), and transmitting a teaching class to the student end equipment (2) for display, and specifically comprises the following steps:

transmitting the teaching course data to the teacher end equipment (1) through the external storage equipment and displaying the teaching course data;

the teacher end outputs a synchronous signal to the student end equipment (2), and the student end equipment (2) receives the synchronous signal and synchronously displays the synchronous signal;

the student side equipment (2) receives the teaching class data and correspondingly matches corresponding knowledge point expansion according to class outline contained in the teaching class data; the knowledge point expansion comprises an alternative memory method related to the knowledge point and an expansion conversion formula.

8. An artificial intelligence based curriculum interaction system for use in a method as claimed in any of claims 1 to 7, including: the teacher end device (1) and the student end device (2), wherein the teacher end device (1) comprises a lesson plan display module (11), a data statistics module (12), a data analysis module (13) and a data feedback module (14);

the teaching desk display module (11) is used for receiving teaching desk data in the external storage equipment, displaying the teaching desk data and outputting a synchronous signal;

the data statistics module (12) is used for receiving and counting teaching difficulty data output by the student end equipment (2) to obtain corresponding knowledge point data, matching the teaching difficulty data with output equipment information and student information, and counting knowledge point statistics data of the same student to obtain corresponding difficulty point statistics data of different students;

the data analysis module (13) is in signal connection with the data statistics module (12) and is used for receiving the knowledge point statistics data and the difficulty point statistics data, adjusting a teaching plan in real time according to the knowledge point statistics data, carrying out targeted teaching arrangement on students according to the difficulty point statistics data and obtaining a teaching scheme;

the data feedback module (14) is in signal connection with the student end equipment (2) and is used for receiving a feedback signal output by the student end equipment (2) and adjusting the teaching scheme based on the feedback signal;

the student terminal equipment (2) comprises a display synchronization module (21), a difficulty marking module (22) and a teaching feedback module (23);

the display synchronization module (21) is in signal connection with the lesson plan display module (11) and is used for receiving and displaying the synchronization signals;

the difficulty marking module (22) is in signal connection with the display synchronization module (21) and is used for marking the difficulty of the teaching lesson case which is synchronously displayed and outputting teaching difficulty data;

the teaching feedback module (23) is in signal connection with the data feedback module (14) and is used for carrying out supervision statistics on the implementation condition of the teaching scheme and outputting feedback signals.

9. The artificial intelligence based course interaction system of claim 8 wherein: the data analysis module (13) reads student information in the knowledge point statistical data, and performs statistics on categories of students according to the student information to judge and obtain marking reasons, wherein the student categories are student score information obtained through feedback of the feedback signals, and the students are classified according to the student score information to obtain classification grades;

if the number of students with excellent results in the class of the students with the same knowledge points obtained through statistics is large, judging that the knowledge points are difficult to interpret and cannot be interpreted clearly;

if the students with the same knowledge point obtained through statistics are more in the class of the students with the same score, judging that the difficulty of the knowledge point is higher, and reminding a teacher to add the knowledge point into a later teaching class;

if the students with poor performance in the student category of the same knowledge point obtained through statistics are more and the statistics times of the knowledge point are smaller, the corresponding students are subjected to targeted teaching scheme arrangement.

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