WO2019218426A1

WO2019218426A1 - Method and apparatus for generating lesson plan for teaching preparation

Info

Publication number: WO2019218426A1
Application number: PCT/CN2018/092785
Authority: WO
Inventors: 卢启伟; 陈滢西; 滕凯
Original assignee: 深圳市鹰硕技术有限公司
Priority date: 2018-05-16
Filing date: 2018-06-26
Publication date: 2019-11-21
Also published as: CN108647352A

Abstract

A method and apparatus for generating a lesson plan for teaching preparation, an electronic device and a storage medium. The method for generating a lesson plan for teaching preparation comprises: collecting preview information fed back by students when previewing teaching contents; then sorting the preview information from all the students, so as to generate difficulties and error-prone points, respectively; generating points for teaching preparation on the basis of the difficulties and the error-prone points; acquiring preset teaching preparation information, matching, in the teaching preparation information, positions corresponding to the points for teaching preparation, and adding marked point information at the positions corresponding to the points for teaching preparation; and using the teaching preparation information, to which the marked point information is added, as a lesson plan corresponding to the teaching contents.

Description

Teaching preparation lesson teaching method and device

Technical field

The present disclosure relates to the field of computer technology, and in particular, to a teaching preparation lesson generation method, apparatus, electronic device, and computer readable storage medium.

Background technique

The lesson plan is for the teacher to carry out the teaching activities smoothly and effectively. According to the curriculum standards, the syllabus and the textbook requirements and the actual situation of the students, the specific design and arrangement of the teaching content, teaching steps and teaching methods are based on the class hours or subjects. A practical teaching instrument. Teaching plans include textbook analysis and student analysis, teaching purposes, difficulties, teaching preparation, teaching process and practice design. A good lesson plan can improve the teaching effect and enhance the learning experience of the students.

However, if the teaching content lesson plan is generated from the textbook or historical experience, it does not fully represent the true knowledge understanding structure of the student who is to learn the teaching content, even if the student has previously previewed the teaching content, the lesson plan Still can't aim at the results of the preview, so that the lesson plans can play a greater role.

In the prior art, CN201610292784 discloses a method for sorting test questions of online group teaching plans, and realizes quick online generation of teaching plans through modular selection of preset teaching plans; CN201711434491 discloses a document teaching plan generating system based on audio teaching, through The collection and analysis of classroom data to generate a lesson plan document for the classroom. None of the above methods can solve the problem of personalization of teaching plans through preview information.

Therefore, it is desirable to provide one or more technical solutions that at least solve the above problems.

It should be noted that the information disclosed in the Background section above is only for enhancement of understanding of the background of the present disclosure, and thus may include information that does not constitute prior art known to those of ordinary skill in the art.

Summary of the invention

It is an object of the present disclosure to provide a teaching preparation lesson generation method, apparatus, electronic device, and computer readable storage medium, and at least to some extent overcome one or more problems due to limitations and disadvantages of the related art.

According to an aspect of the present disclosure, a teaching preparation lesson generation method is provided, including:

Pre-reading the information collecting step, and collecting pre-study information feedbacked by the student during the pre-study of the teaching content, the pre-study information includes the pre-study information, the difficult content of the teaching content of the student mark, and the answer to the exercise;

Determining the steps of teaching difficulty, counting the pre-study information of all students, analyzing the difficult information of the teaching content marked by all students, and determining the teaching difficulties according to the number of difficult information of each teaching content;

Teaching easy-to-error point determination steps, analyzing the answers to all the students' exercises, and determining the teaching error points according to the total number of answers to the errors in each exercise;

The preparation steps of the lesson preparation points are generated according to the teaching difficulties and the teaching error points;

The marking information adding step is to obtain preset teaching lesson information, matching the corresponding position of the lesson preparation point in the teaching lesson information, and adding the essential mark information to the corresponding position in the corresponding lesson point;

In the preparation of the lesson plan, the teaching preparation information with the point mark information added is used as the lesson plan corresponding to the teaching content.

In an exemplary embodiment of the present disclosure, the preview information collecting step includes:

Generate a preview questionnaire;

Receiving preview information fed back by the student according to the preview questionnaire;

After collecting the preview information fed back by the students according to the preview questionnaire, a preset number of preview information samples are extracted, and the teaching difficulty determination step is performed according to the preview information sample.

In an exemplary embodiment of the present disclosure, the teaching difficulty determining step includes:

After analyzing the difficult content of the teaching content marked by all the students, the number of difficult information of each teaching content is determined, and the difficult information of the teaching content greater than the first preset number or the first preset ratio is determined as a teaching difficulty;

The teaching error-prone point determining step includes:

After analyzing the answers of the exercises of all the students, the total number of error answers of each exercise is determined, and the teaching knowledge points corresponding to the exercises of the second preset number or the second preset ratio are obtained, and the corresponding teaching knowledge points are used as teaching Easy to be wrong.

In an exemplary embodiment of the present disclosure, the teaching difficulty determining step further includes:

After determining the number of difficult information of each teaching content, determining the difficulty level of the difficult information of each teaching content according to the preset important level items of the teaching difficulty;

The teaching error-prone point determining step further includes:

After obtaining the teaching knowledge points corresponding to the exercises of the second preset number or the second preset ratio, the error level of each teaching knowledge point is determined according to the preset teaching error-priority level item.

In an exemplary embodiment of the present disclosure, the point mark information includes an importance level identifier including a difficulty level of teaching content difficulty information and/or an error level of each teaching knowledge point.

In an exemplary embodiment of the present disclosure, the point mark information includes a point mark, and preset point explanation information.

In an exemplary embodiment of the present disclosure, the method further includes:

After the teaching lesson information with the point mark information is added as the lesson plan corresponding to the teaching content, the lesson plan is saved, and the lesson plan is used as a reference template for the lesson plan for teaching the teaching content again.

Set the weight ratio of each lesson preparation point in the lesson plan reference template;

Obtain a saved history preparation lesson reference template;

According to the weight ratio of each lesson preparation point in the history preparation lesson reference template, the lesson preparation lesson preparation lesson is generated.

In an exemplary embodiment of the present disclosure, the preview information further includes: question point information, preview time information.

In an aspect of the disclosure, a teaching preparation lesson generation apparatus is provided, including:

The preview information collecting module is configured to collect preview information fed back by the student when the teaching content is previewed, and the preview information includes preview information, difficulty information of the teaching content of the student mark, and answer to the problem;

The teaching difficulty determination module is used to count the pre-study information of all students, analyze the difficult information of the teaching content marked by all students, and determine the teaching difficulty according to the number of difficult information of each teaching content;

The teaching error-correcting point determining module is used for analyzing the answers of all the students' exercises, and determining the teaching error-prone points according to the total number of error answers in each exercise;

a lesson preparation component generating module is configured to generate a lesson preparation point according to the teaching difficulty and the teaching error point;

a tag information adding module, configured to acquire preset teaching lesson information, matching corresponding positions of the lesson preparation points in the teaching lesson information, and adding the essential mark information to the corresponding position in the corresponding lesson point;

The lesson teaching plan generating module is configured to use the teaching lesson information with the point mark information added as the lesson plan corresponding to the teaching content.

In an aspect of the disclosure, an electronic device is provided, comprising:

Processor;

A memory having stored thereon computer readable instructions that, when executed by the processor, implement the method of any of the above.

In an aspect of the present disclosure, a computer readable storage medium having stored thereon a computer program, the computer program being executed by a processor, implements the method of any of the above.

The teaching preparation lesson generation method in the exemplary embodiment of the present disclosure collects the pre-study information feedbacked by the students when the teaching content is previewed, and then collects the pre-study information of all the students, respectively generates the teaching difficulty points and the teaching error points, according to the teaching Difficulties, teaching error-prone points generate lesson points, obtain preset teaching lesson information, match the corresponding position of the lesson preparation points in the teaching lesson information, and add the essential mark information in the corresponding position of the lesson preparation point, which will be added The teaching preparation information of the point mark information is used as a lesson plan corresponding to the teaching content. On the one hand, by generating a lesson plan through the collection and analysis of the preview information, the pre-study status of the students who collected the preview information can be more closely matched, so that the teaching is more targeted; on the other hand, the teaching of different teaching contents in the preview information Difficulties and error-prone points are separately analyzed and sorted, which makes teachers more flexible in teaching, and the teaching content has more heavy-duty basis.

The above general description and the following detailed description are intended to be illustrative and not restrictive.

DRAWINGS

The above and other features and advantages of the present disclosure will become more apparent from the detailed description.

FIG. 1 is a flowchart showing a teaching preparation lesson generation method according to an exemplary embodiment of the present disclosure;

2 is a schematic diagram of an application scenario of a teaching preparation lesson generation method according to an exemplary embodiment of the present disclosure;

FIG. 3 is a schematic diagram showing an application scenario of a teaching preparation lesson generation method according to an exemplary embodiment of the present disclosure;

FIG. 4 is a schematic block diagram of a teaching preparation lesson generation apparatus according to an exemplary embodiment of the present disclosure;

FIG. 5 schematically illustrates a block diagram of an electronic device in accordance with an exemplary embodiment of the present disclosure;

FIG. 6 schematically illustrates a schematic diagram of a computer readable storage medium in accordance with an exemplary embodiment of the present disclosure.

Detailed ways

Example embodiments will now be described more fully with reference to the accompanying drawings. However, the exemplary embodiments can be embodied in a variety of forms and should not be construed as being limited to the embodiments set forth herein. To those skilled in the art. The same reference numerals in the drawings denote the same or similar parts, and the repeated description thereof will be omitted.

Furthermore, the described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are set forth However, one skilled in the art will appreciate that the technical solution of the present disclosure may be practiced without one or more of the specific details, or other methods, components, materials, devices, steps, etc. may be employed. In other instances, well-known structures, methods, devices, implementations, materials, or operations are not shown or described in detail to avoid obscuring aspects of the present disclosure.

The block diagrams shown in the figures are merely functional entities and do not necessarily have to correspond to physically separate entities. That is, these functional entities may be implemented in software, or implemented in one or more software-hardened modules, or in different network and/or processor devices and/or microcontroller devices. Implement these functional entities.

In the present exemplary embodiment, a teaching preparation lesson generation method is first provided, which can be applied to an electronic device such as a computer; as shown in FIG. 1, the teaching preparation lesson generation method may include the following steps:

The pre-study information collecting step S110 is to collect pre-study information fed back by the student when the teaching content is pre-study, and the pre-study information includes the pre-study note information, the difficult content information of the teaching content of the student mark, and the answer to the exercise question;

The teaching difficulty determination step S120, the pre-study information of all the students is counted, the difficult information of the teaching content marked by all the students is analyzed, and the teaching difficulty is determined according to the number of difficult information of each teaching content;

The teaching error-prone point determining step S130 analyzes the answers of all the students' exercises, and determines the teaching error-prone points according to the total number of error answers in each exercise;

The lesson preparation step S140 generates a lesson preparation point according to the teaching difficulty and the teaching error-prone point;

The tag information adding step S150 is to obtain preset teaching lesson information, matching corresponding positions of the lesson preparation points in the teaching lesson information, and adding the essential mark information to the corresponding position in the corresponding lesson point;

In the preparation lesson generation step S160, the teaching preparation lesson information to which the essential point marker information is added is used as the lesson preparation lesson corresponding to the teaching content.

According to the teaching preparation lesson generation method in the exemplary embodiment, on the one hand, since the preparation lesson teaching plan is generated through the collection and analysis of the preliminary information, the pre-study state of the student who collects the preview information can be more closely matched, so that the teaching is more targeted; On the other hand, the difficulty in teaching and the error-prone points of different teaching contents in the preview information are separately analyzed, which makes the teachers more flexible in teaching and the teaching content has more heavy-duty basis.

Hereinafter, the teaching preparation lesson generation method in the present exemplary embodiment will be further described.

In the preview information collecting step S110, the preview information fed back by the student when the teaching content is previewed may be collected, and the preview information includes the preview note information, the difficult content information of the teaching content of the student mark, and the answer to the exercise.

In the present exemplary embodiment, the collection of preview information generated for the teaching content when all or part of the students prepare for the specified teaching content, the preview information represents the response of the designated student sample to the preview effect of the teaching content, and can be more realistic. Effective feedback actually teaches students the preview questions and knowledge to understand the state. The preview information may be pre-study information, or may be a difficulty in summarizing or marking the difficult content of the teaching content in the previewing process, or may be a student's pre-work or after-school exercises after preparing the text. Answer the answer.

In the example embodiment, the preview information collecting step includes: generating a preview questionnaire; receiving preview information fed back by the student according to the preview survey questionnaire; collecting pre-study information fed back by all the students according to the preview survey questionnaire, and extracting the pre-reading information Set a number of preview information samples, and perform teaching difficulty determination steps based on the preview information samples. For example, when there are a large number of students participating in a large number of courses, the questionnaires may be used to sample the pre-study information of some of the students, as shown in Figure 2, for the preparation of a certain teaching content. A questionnaire for information collection, which includes pre-study information such as a teaching course, a preview time, a preview difficulty, an answer to a problem, and a student's personal course information such as the name of the student receiving the questionnaire and the last grade of the course. Wait.

In the exemplary embodiment, the preview information collecting step includes: receiving preview information sent by the communication device among all the students who preview the teaching content. In some teaching scenarios, with the application and popularization of electronic devices in teaching, especially in online teaching, each student can conveniently feedback teaching interactive information, and at the same time, based on the electronic device processor can also quickly complete a large number The collection and statistics of the data, therefore, in such an occasion, the mobile phone can be used for the pre-study information of the corresponding teaching contents of all the students, so that the student's preview state can be more realistically reflected.

In the example embodiment, the preview information further includes: question point information, and preview time information. For some courses with a small number of students, the pre-study information can be supplemented by statistics on previous student history preparation information.

In the teaching difficulty determination step S120, the pre-study information of all the students can be counted, the difficult information of the teaching contents marked by all the students is analyzed, and the teaching difficulty is determined according to the number of difficult information of each teaching content.

In this example embodiment, the collection and statistics of the difficult content of the teaching content is the most responsive to the student's grasp of the teaching content, and can best guide the teaching in an orderly manner, and generate teaching difficulties according to the difficult content of the teaching content. Generate important steps for teaching lesson preparation information.

In the teaching error-prone point determining step S130, the student's problem answers of all the students can be analyzed, and the teaching error-prone points are determined according to the total number of error answers of the respective exercises;

In the example embodiment, the exercise is the most intuitive response to the teaching content, and is the most intuitive test of the preview results. The collection of the student's problem answers can intuitively reflect the pre-study of different knowledge points in the teaching content and guide the teaching. Record the proportion of different knowledge points.

In the exemplary embodiment, the teaching difficulty determining step includes: analyzing all the difficult content information of the teaching content marked by the student, and determining the number of difficult information of each teaching content, which is greater than the first preset number or the first preset ratio. Difficulties in teaching content as a difficulty in determining teaching. For example, in a teaching scenario, in the preview information of the Bernoulli equation, more than half of the students will use the Bernoulli equation in the incompressible flow and the Bernoulli equation in the frictionless flow. "The teaching content is marked as difficult to teach content, then the above two teaching contents can be determined as teaching difficulties.

The teaching error-prone point determining step includes: after analyzing the answers of all the students' exercises, determining the total number of error answers of each exercise, and acquiring the teaching knowledge points corresponding to the exercises of the second preset number or the second preset ratio, And the corresponding teaching knowledge points are used as teaching error points. Corresponding to the teaching scene in the above example, in the statistical information of the answers to the four pre-examination questions in the chapter of Bernoulli Equation, the error rate of the fourth question is the highest, and the teaching knowledge corresponding to the fourth question is Point "the Bernoulli equation when the fluid flows along the streamline" as a teaching error point.

In the exemplary embodiment, the teaching difficulty determining step further includes: determining the difficulty level of each teaching content difficulty information according to the preset teaching difficulty important level item after determining the number of difficulty information of each teaching content. As in the teaching scenario in the above example, the teaching content of the teaching difficulty of the two teaching difficulties of the Bernoulli equation in the incompressible flow and the Bernoulli equation in the frictionless flow is 51%. And 76%, then adjust the "Bernoulli equation in the frictionless flow" as a teaching difficulty for higher difficulty levels.

The teaching error-prone point determining step further includes: after acquiring a teaching knowledge point corresponding to the problem of the second preset number or the second preset ratio, determining each teaching according to the preset teaching error-prone level item The level of error of knowledge points. Corresponding to the teaching scene in the above example, in the statistical information of the answers to the four pre-examination questions in the Bernoulli equation, the error rates of the four exercises are: 0.2%, 3%, 17%. And 90%, the error level of each teaching knowledge point corresponding to the problem in the chapter is sorted as: "Bernoulli equation when the fluid flows along the streamline" > "Bernoulli equation in the frictionless flow" "> "Bernoulli equation in incompressible flow" > "Bernoulli equation in steady flow".

In the lesson preparation step S140, the lesson points can be generated based on the teaching difficulty and the teaching error-prone point.

In the exemplary embodiment, the preparation point is not only a response to the student's preview result, but also a reminder to the teaching point of the teacher's teaching. The preparation point includes the teaching difficulty, the teaching error point, the teaching difficulty and the teaching error. Points can be knowledge points in the same or multiple teaching content.

In the mark information adding step S150, the preset teaching lesson information may be acquired, the corresponding position of the lesson preparation point is matched in the teaching lesson information, and the point preparation information is added to the corresponding position in the corresponding position.

In the example implementation manner, matching the corresponding position of the lesson preparation point in the teaching lesson information, adding the teaching point to the preset teaching preparation information, and generating lesson preparation information capable of reflecting the current student preparation state, which may be The teacher provides targeted information according to the preparation of the lesson information.

In this example embodiment, the point mark information includes an importance level identifier including a difficulty level of teaching content difficulty information and/or an error level of each teaching knowledge point. It is possible to add only teaching difficulty points and error-prone points that are larger than the preset number or proportion, and also display the statistical proportions of all teaching difficulties and error-prone points for teachers' reference.

In the exemplary embodiment, the point mark information includes a point mark and preset point guide information. The targeted teaching information can be prepared in advance for the teaching difficulties and error-prone points, and the teaching experience is improved, and the students are more difficult to understand the teaching difficulties and error-prone points.

In the example embodiment, the step of generating the preparation lesson includes: pre-study information of the student above the preset score in all the preview information corresponding to the teaching content, as a pre-study teaching point; all previews corresponding to the teaching content In the information, the pre-study information of the students below the pre-set grades is used as the review teaching point; combined with the pre-study teaching points and the review teaching points, the teaching points are generated. Different students have different levels of mastery. For example, students with better grades have a faster grasp of difficulties, but often they are not paying attention to mistakes because of carelessness and sloppyness, while students with poor grades are teaching. The difficulty of grasping is more difficult, and the corresponding teaching difficulties are more responsive. Therefore, when the questionnaires are used to count the student preparation information, the statistics of the corresponding rankings of the students can realize the classification of the teaching content, generate the pre-study teaching points, review the teaching points, and generate different preparation contents for different students.

In the exemplary embodiment, the method includes: the weight ratio of the lesson preparation points in the preparation lesson template is positively correlated with the ratio of the preview information among all the students, that is, the proportion of the preliminary information that can be learned according to the difficulty of teaching And the error rate of the error-prone point corresponds to the proportion of the lesson preparation points in the lesson plan.

In the preparation lesson generation step S160, the teaching preparation lesson information to which the essential point marker information is added may be used as the lesson preparation lesson corresponding to the teaching content.

In the exemplary embodiment, the teaching lesson information includes the added point mark information, and the teaching lesson information as the teaching content corresponding to the teaching content can provide an effective reference for teaching the teaching content when teaching the teaching. Figure 3 shows the lesson plan for the chapter of Bernoulli Equation generated by collecting and sorting the preview information.

In the example embodiment, the method further includes: after the teaching lesson information with the point mark information added is used as the lesson plan corresponding to the teaching content, saving the lesson plan, and using the lesson plan as the teaching content The teaching plan reference template for teaching lesson again. This method is used to generate lesson plans for teaching content every year. This kind of teaching plan is more abundant and more suitable for teaching practice.

In the exemplary embodiment, the method further includes: setting a weight ratio of each lesson preparation point in the lesson plan reference template; obtaining a saved history preparation lesson reference template; generating a review based on the weight ratio of each lesson preparation point in the history preparation lesson reference template The lesson preparation lesson plan. It is an extension of classroom teaching and a positive method to promote precision teaching by preparing the lesson plans for the review questions in the reference plan of the lesson plan.

It should be noted that, although the various steps of the method of the present disclosure are described in a particular order in the drawings, this does not require or imply that the steps must be performed in the specific order, or that all the steps shown must be performed. Achieve the desired results. Additionally or alternatively, certain steps may be omitted, multiple steps being combined into one step execution, and/or one step being decomposed into multiple step executions and the like.

In addition, in the present exemplary embodiment, a teaching preparation lesson generation apparatus is also provided. Referring to FIG. 4, the teaching preparation lesson generating apparatus 400 may include: a preview information collecting module 410, a teaching difficulty determining module 420, a teaching error-correcting point determining module 430, a lesson preparation point generating module 440, a marking information adding module 450, and a preparation lesson plan. A module 460 is generated. among them:

The preview information collecting module 410 is configured to collect preview information fed back by the student when the teaching content is previewed, and the preview information includes preview information, difficulty content information of the teaching content of the student mark, and answer to the problem;

The teaching difficulty determination module 420 is configured to collect pre-study information of all the students, analyze the difficult content information of the teaching contents marked by all the students, and determine the teaching difficulty according to the number of difficult information of each teaching content;

The teaching error-prone point determining module 430 is configured to analyze the answer answers of all the students of the statistics, and determine the teaching error-prone points according to the total number of error answers of the respective exercises;

The lesson preparation point generating module 440 is configured to generate a lesson preparation point according to the teaching difficulty and the teaching error point;

The tag information adding module 450 is configured to acquire preset teaching lesson information, match corresponding positions of the lesson preparation points in the teaching lesson information, and add the essential mark information to the corresponding position in the corresponding lesson position;

The lesson plan generation module 460 is configured to use the teaching lesson information with the point mark information added as the lesson plan corresponding to the teaching content.

The specific details of each of the teaching preparation lesson generation device modules have been described in detail in the corresponding teaching preparation lesson generation method, and therefore will not be described herein.

It should be noted that although several modules or units of the teaching preparation lesson generating apparatus 400 are mentioned in the above detailed description, such division is not mandatory. In fact, features and functions of two or more of the modules or units described above may be embodied in one module or unit in accordance with the embodiments of the present disclosure. Conversely, the features and functions of one of the modules or units described above may be further divided into multiple modules or units.

Further, in an exemplary embodiment of the present disclosure, an electronic device capable of implementing the above method is also provided.

Those skilled in the art will appreciate that various aspects of the present invention can be implemented as a system, method, or program product. Accordingly, aspects of the present invention may be embodied in the form of a complete hardware embodiment, a complete software embodiment (including firmware, microcode, etc.), or a combination of hardware and software aspects, which may be collectively referred to herein. "Circuit," "module," or "system."

An electronic device 500 in accordance with such an embodiment of the present invention is described below with reference to FIG. The electronic device 500 shown in FIG. 5 is merely an example and should not impose any limitation on the function and scope of use of the embodiments of the present invention.

As shown in FIG. 5, electronic device 500 is embodied in the form of a general purpose computing device. The components of the electronic device 500 may include, but are not limited to, the at least one processing unit 510, the at least one storage unit 520, the bus 530 connecting the different system components (including the storage unit 520 and the processing unit 510), and the display unit 540.

Wherein the storage unit stores program code, which can be executed by the processing unit 510, such that the processing unit 510 performs various exemplary embodiments according to the present invention described in the "Exemplary Method" section of the present specification. The steps of the examples. For example, the processing unit 510 can perform steps S110 to S160 as shown in FIG. 1.

The storage unit 520 can include a readable medium in the form of a volatile storage unit, such as a random access storage unit (RAM) 5201 and/or a cache storage unit 5202, and can further include a read only storage unit (ROM) 5203.

The storage unit 520 can also include a program/utility 5204 having a set (at least one) of the program modules 5205, such as but not limited to: an operating system, one or more applications, other program modules, and program data, Implementations of the network environment may be included in each or some of these examples.

Bus 530 may be representative of one or more of several types of bus structures, including a memory unit bus or memory unit controller, a peripheral bus, a graphics acceleration port, a processing unit, or a local area using any of a variety of bus structures. bus.

The electronic device 500 can also communicate with one or more external devices 570 (eg, a keyboard, pointing device, Bluetooth device, etc.), and can also communicate with one or more devices that enable the user to interact with the electronic device 500, and/or with Any device (eg, router, modem, etc.) that enables the electronic device 500 to communicate with one or more other computing devices. This communication can take place via an input/output (I/O) interface 550. Also, electronic device 500 can communicate with one or more networks (e.g., a local area network (LAN), a wide area network (WAN), and/or a public network, such as the Internet) via network adapter 560. As shown, network adapter 560 communicates with other modules of electronic device 500 via bus 530. It should be understood that although not shown in the figures, other hardware and/or software modules may be utilized in conjunction with electronic device 500, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives. And data backup storage systems, etc.

Through the description of the above embodiments, those skilled in the art can easily understand that the exemplary embodiments described herein may be implemented by software, or may be implemented by software in combination with necessary hardware. Therefore, the technical solution according to an embodiment of the present disclosure may be embodied in the form of a software product, which may be stored in a non-volatile storage medium (which may be a CD-ROM, a USB flash drive, a mobile hard disk, etc.) or on a network. A number of instructions are included to cause a computing device (which may be a personal computer, server, terminal device, or network device, etc.) to perform a method in accordance with an embodiment of the present disclosure.

In an exemplary embodiment of the present disclosure, there is also provided a computer readable storage medium having stored thereon a program product capable of implementing the above method of the present specification. In some possible embodiments, aspects of the present invention may also be embodied in the form of a program product comprising program code for causing said program product to run on a terminal device The terminal device performs the steps according to various exemplary embodiments of the present invention described in the "Exemplary Method" section of the present specification.

Referring to FIG. 6, a program product 600 for implementing the above method, which may employ a portable compact disk read only memory (CD-ROM) and includes program code, and may be in a terminal device, is illustrated in accordance with an embodiment of the present invention. For example running on a personal computer. However, the program product of the present invention is not limited thereto, and in this document, the readable storage medium may be any tangible medium containing or storing a program that can be used by or in connection with an instruction execution system, apparatus or device.

The program product can employ any combination of one or more readable media. The readable medium can be a readable signal medium or a readable storage medium. The readable storage medium can be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the above. More specific examples (non-exhaustive lists) of readable storage media include: electrical connections with one or more wires, portable disks, hard disks, random access memory (RAM), read only memory (ROM), erasable Programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination of the foregoing.

The computer readable signal medium may include a data signal that is propagated in the baseband or as part of a carrier, carrying readable program code. Such propagated data signals can take a variety of forms including, but not limited to, electromagnetic signals, optical signals, or any suitable combination of the foregoing. The readable signal medium can also be any readable medium other than a readable storage medium that can transmit, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.

Program code embodied on a readable medium can be transmitted using any suitable medium, including but not limited to wireless, wireline, optical cable, RF, etc., or any suitable combination of the foregoing.

Program code for performing the operations of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, C++, etc., including conventional procedural Programming language—such as the "C" language or a similar programming language. The program code can execute entirely on the user computing device, partially on the user device, as a stand-alone software package, partially on the remote computing device on the user computing device, or entirely on the remote computing device or server. Execute on. In the case of a remote computing device, the remote computing device can be connected to the user computing device via any kind of network, including a local area network (LAN) or wide area network (WAN), or can be connected to an external computing device (eg, provided using an Internet service) Businesses are connected via the Internet).

Further, the above-described drawings are merely illustrative of the processes included in the method according to the exemplary embodiments of the present invention, and are not intended to be limiting. It is easy to understand that the processing shown in the above figures does not indicate or limit the chronological order of these processes. In addition, it is also easy to understand that these processes may be performed synchronously or asynchronously, for example, in a plurality of modules.

Other embodiments of the present disclosure will be apparent to those skilled in the <RTIgt; The present application is intended to cover any variations, uses, or adaptations of the present disclosure, which are in accordance with the general principles of the disclosure and include common general knowledge or common technical means in the art that are not disclosed in the present disclosure. . The specification and examples are to be regarded as illustrative only,

It is to be understood that the invention is not limited to the details of the details and The scope of the disclosure is to be limited only by the appended claims.

Industrial applicability

On the one hand, by generating a lesson plan through the collection and analysis of the preview information, the pre-study status of the students who collected the preview information can be more closely matched, so that the teaching is more targeted; on the other hand, the teaching of different teaching contents in the preview information Difficulties and error-prone points are separately analyzed and sorted, which makes teachers more flexible in teaching, and the teaching content has more heavy-duty basis.

Claims

A teaching preparation lesson generation method, characterized in that the method comprises:

Pre-reading the information collecting step, and collecting pre-study information feedbacked by the student during the pre-study of the teaching content, the pre-study information includes the pre-study information, the difficult content of the teaching content of the student mark, and the answer to the exercise;

Determining the steps of teaching difficulty, counting the pre-study information of all students, analyzing the difficult information of the teaching content marked by all students, and determining the teaching difficulties according to the number of difficult information of each teaching content;

Teaching easy-to-error point determination steps, analyzing the answers to all the students' exercises, and determining the teaching error points according to the total number of answers to the errors in each exercise;

The preparation steps of the lesson preparation points are generated according to the teaching difficulties and the teaching error points;

The marking information adding step is to obtain preset teaching lesson information, matching the corresponding position of the lesson preparation point in the teaching lesson information, and adding the essential mark information to the corresponding position in the corresponding lesson point;

In the preparation of the lesson plan, the teaching preparation information with the point mark information added is used as the lesson plan corresponding to the teaching content.
The method of claim 1 wherein said preview information collection step comprises:

Generate a preview questionnaire;

Receiving preview information fed back by the student according to the preview questionnaire;

After collecting the preview information fed back by the students according to the preview questionnaire, a preset number of preview information samples are extracted, and the teaching difficulty determination step is performed according to the preview information sample.
The method of claim 1 wherein said teaching difficulty determining step comprises:

After analyzing the difficult content of the teaching content marked by all the students, the number of difficult information of each teaching content is determined, and the difficult information of the teaching content greater than the first preset number or the first preset ratio is determined as a teaching difficulty;

The teaching error-prone point determining step includes:

After analyzing the answers of the exercises of all the students, the total number of error answers of each exercise is determined, and the teaching knowledge points corresponding to the exercises of the second preset number or the second preset ratio are obtained, and the corresponding teaching knowledge points are used as teaching Easy to be wrong.
The method of claim 3, wherein the teaching difficulty determining step further comprises:

After determining the number of difficult information of each teaching content, determining the difficulty level of the difficult information of each teaching content according to the preset important level items of the teaching difficulty;

The teaching error-prone point determining step further includes:

After obtaining the teaching knowledge points corresponding to the exercises of the second preset number or the second preset ratio, the error level of each teaching knowledge point is determined according to the preset teaching error-priority level item.
The method of claim 1, wherein the point mark information comprises an importance level identifier comprising a difficulty level of teaching content difficulty information and/or an error level of each teaching knowledge point.
The method according to claim 1 or 5, wherein the point mark information includes a point mark and preset point explanation information.
The method of claim 1 wherein the method further comprises:

After the teaching lesson information with the point mark information is added as the lesson plan corresponding to the teaching content, the lesson plan is saved, and the lesson plan is used as a reference template for the lesson plan for teaching the teaching content again.
The method of claim 7 wherein the method further comprises:

Set the weight ratio of each lesson preparation point in the lesson plan reference template;

Obtain a saved history preparation lesson reference template;

According to the weight ratio of each lesson preparation point in the history preparation lesson reference template, the lesson preparation lesson preparation lesson is generated.
The method of claim 1, wherein the preview information further comprises: question point information, preview time information.
A teaching preparation lesson generation device, characterized in that the device comprises:

The preview information collecting module is configured to collect preview information fed back by the student when the teaching content is previewed, and the preview information includes preview information, difficulty information of the teaching content of the student mark, and answer to the problem;

The teaching difficulty determination module is used to count the pre-study information of all students, analyze the difficult information of the teaching content marked by all students, and determine the teaching difficulty according to the number of difficult information of each teaching content;

The teaching error-correcting point determining module is used for analyzing the answers of all the students' exercises, and determining the teaching error-prone points according to the total number of error answers in each exercise;

a lesson preparation component generating module is configured to generate a lesson preparation point according to the teaching difficulty and the teaching error point;

a tag information adding module, configured to acquire preset teaching lesson information, matching corresponding positions of the lesson preparation points in the teaching lesson information, and adding the essential mark information to the corresponding position in the corresponding lesson point;

The lesson teaching plan generating module is configured to use the teaching lesson information with the point mark information added as the lesson plan corresponding to the teaching content.
An electronic device, comprising:

Processor;

A memory having computer readable instructions stored thereon, the computer readable instructions being executed by the processor to implement the method of any one of claims 1 to 9.
A computer readable storage medium having stored thereon a computer program, the computer program being executed by a processor to implement the method of any one of claims 1 to 9.