WO2019095450A1 - Teacher-student multi-dimensional matching method and system for use in online teaching - Google Patents

Abstract

Provided is a teacher-student multi-dimensional matching system for use in online teaching, comprising: a student terminal, a teacher terminal, and a system server, the student terminal, the teacher terminal, and the system server being connected by means of a data network; the system server comprises a student information recording module, a teacher information recording module, a student course test module, a student course recommendation module, a teacher course evaluation module, a teacher course recommendation module, a student-teacher matching recommendation module, and a course teaching module; the student terminal, the teacher terminal, and the system server may all comprise a memory. The present invention solves the problem of the difficulty of students getting a truly suitable course and instructor due to the single and rough method of matching students and teachers in the prior art, and is based on the correlation of non-teaching factors; on this basis, a mutual relationship is established between students and teachers, and teaching courses suitable for both are then matched.

Description

Teacher-student multi-dimensional matching method and system for network teaching Technical field

The invention relates to the technical field of network education, in particular to a multi-dimensional matching method and system for teachers and students for network teaching.

Background technique

Language is an indispensable medium for human communication. With the development of information technology and the development of economy and culture, free communication with foreigners has become a social demand. On the one hand, from the world, the number of people speaking English has exceeded the number of people in any language, the official language of 45 countries is English, 75% of the world's TV programs are English, and three-quarters of the mail is written in English. Computer technology and the Internet are also based on English. On the other hand, China plays an increasingly important role in world economic and cultural exchanges. Mastering Chinese is an inevitable trend of economic globalization.

For the most widely used English, traditional foreign language teaching activities are mostly conducted by teachers and students in a face-to-face manner. This approach requires long-term fixed-site, fixed-time learning, for those who lack fixed time and constant traffic. There are learning difficulties.

With the rapid development of the network, many online language teaching services provide a number of online education courses, and the recorded courseware is played on the website according to the progress of the study, and the corresponding tests are carried out to achieve the purpose of teaching, but this way The shortcoming is that, for a long time, not only the learners feel boring, but also can not get the authenticity and interaction of foreign language oral teaching with the help of website-based learning.

In addition, in the existing teaching practice, the online teaching curriculum is relatively fixed, usually adopting a one-to-many model to guide the teaching in the order of the courses, and different learners receive the same teaching content and testing. At the same time, due to the lack of pertinence and timeliness of the online learning support system, excessive homogenization of learning activities, and the often mismatch between the ability of teachers and the needs of students, many learners cannot fully utilize online courses. Interactive learning, one of the more prominent ones, does not provide a suitable course for different learners and a teacher who is suitable for teaching the student.

At present, there are personalized recommendation methods and systems for teaching resources.

For example, the publication number is CN103886054A, and the invention name is "a personality of a network teaching resource. The document “Recommended Method and System” discloses a teaching method and system that focuses on individualized needs. For the characteristics and needs of the teacher users, the teaching resources suitable for teachers are selected from the massive resource pool, and the knowledge decision tree structure is adopted. Representing the teacher model, improving the accuracy and quality of the recommendation, using the association rule mining method to calculate the correlation between teaching resources, and using the latent semantic analysis, statistics, and clustering methods to filter the course labels and resource tags through the teacher behavior record. Expansion, increasing the accuracy of keyword extraction. The program is recommended for the course, which satisfies the degree of matching between the course and the teacher, but does not notice the connection between the teacher and the student, the same course, for the same degree of students, Different teachers will have different effects.

For another example, the publication number is CN106547909A, and the document entitled "A Big Data-Based Error-Proof Question Bank Construction Management Method and Apparatus" discloses a recommendation method for collecting answers of multiple student users to answer a certain target exercise. Data; obtaining the teacher evaluation information corresponding to the target problem from the problem library, and obtaining the user attribute of each target student user in the target student user group, corresponding to the target student user group in the target student user group for each target student user group Based on the class identification, the target teaching teacher corresponding to the target student user group is determined from the correspondence between the preset class identifier and the teaching teacher, and the target teaching teachers corresponding to the plurality of target student user groups can refer to the target exercise. Parallelly conduct targeted remedial teaching for each responsible class, so that the learning efficiency of student users in each class can be improved in parallel, and the gap in student achievement of each class can be reduced. The method takes into account the targeted categorization and guidance of the students' tests, but it only focuses on the examinations and trains on this basis, neglecting the teaching links.

For another example, the publication number is CN106875309A, and the document entitled "A Course Recommendation Method and System" discloses an online course recommendation method. By establishing a teacher pool, the teachers of the same course are set according to the set performance interval standard. Classification, to meet the needs of students in different performance areas, to maximize the realization of teaching in accordance with their aptitude. Students participating in the course can score the instructors, conduct an objective dynamic evaluation of the teachers, provide reference for the students who follow the course selection, and retrieve the combination of the instructors from the pool of teachers according to the historical achievements of each subject to find the appropriate results. Teachers, and according to gender, choose the teacher with the right gender to match the teacher and the student. The program has noted the link between teachers and students, but only concerned with the historical achievements and gender of the students. The essence of the program is not fundamentally different from the traditional school teaching methods based on the results of the placement of classes and the arrangement of the class teacher, according to the scores and gender. The treatment method is more limited and single, and can not take into account the comprehensive matching between students and teachers. The teacher's evaluation only pays attention to the scores of the students. In the recommendation process, the students' factors are considered more, but the multiple evaluable attributes of the teachers are not considered.

For another example, the publication number CN107230174 A, the document entitled "A Network-Based Online Interactive Learning System and Method" discloses a web-based online interactive learning system and method for enabling learners to use the teaching of the present invention. In the system, it is possible to teach students in accordance with their aptitude, so that each learner can get potential interest/professional development on their own basis, and use their development path data to guide the learning process of subsequent learners, which notices the personality of the students. The attention of the teacher, the teacher played a role in guiding students, but did not pay attention to the question of whether teachers and students match each other.

In summary, the prior art focuses on different teaching methods for different students, and also notices the teacher's guiding role for students, taking into account the matching of students' personal interests and courses. The existing teaching is mostly based on the requirements of the course, and the teacher who is suitable for teaching the course is selected, and then the student chooses the teacher. However, with the development of the network, one-on-one online teaching has appeared more, and more on-the-job has appeared. Students and part-time teachers, in one-on-one online teaching, compared with the traditional teaching methods, the two sides of the learning presented a weaker bond, the students fully grasp the initiative of learning, and dissatisfied with the evaluation of the teacher can pass Exiting the study and ending immediately, this behavior will lead to frustration of teachers' enthusiasm, while students waste time and money spent studying.

The inventor of the present application found through research that this is because the prior art does not realize that the importance of the matching relationship among the three elements of teaching, teachers, and courses is different from the first requirement of the curriculum in the traditional teaching. The second level, the teacher students recognize each other in the order of the third. If students and teachers cannot establish a comprehensive mutual trust, they will not be able to complete the teaching plan smoothly and smoothly.

Summary of the invention

In view of this, the present invention aims to provide a multi-dimensional matching method and system for teachers and students in network teaching, so as to solve the single and rough matching method between teachers and students in the prior art, and it is difficult to truly make students suitable. Courses and questions for the instructor.

The inventor first establishes a mutual trust match between the teacher and the student, which is based on the relevance of the non-teaching factors, and on the basis of this, matches the teaching courses suitable for each other.

According to an object of the present invention, a multi-dimensional matching system for teachers and students for network teaching is provided. The system includes: a student terminal, a teacher terminal, and a system server, wherein the student terminal, the teacher terminal, and the system server are connected through a data network, and data exchange can be performed between the student terminal, the teacher terminal, and the system server, and the teacher uses the terminal to teach the class, and the student utilizes the terminal. Accept the course. The student terminal and the teacher terminal each include an input device, an output device, a computing device, and a storage device, wherein the input device can be a keyboard, a mouse, a tablet, a video capture device, a microphone, and the like, and the output device can be a display. A device such as a speaker that can output information; the system server includes a student information recording module, a teacher information recording module, a student course test module, a student course recommendation module, a teacher course evaluation module, a teacher course recommendation module, a student teacher matching recommendation module, and a course teaching module. The student terminal, the teacher terminal, and the system server each include a memory.

The student information recording module records student personal information, including physiological information, interest information, course information and the like.

The teacher information recording module records teacher personal information, including physiological information, interest information, course information and the like.

The student course test module provides a test to the student based on the course information in the student information record module to determine the initial level of the student.

The student course recommendation module recommends a course group suitable for the student according to other personal information provided by the student information module and the student test score provided by the course test module.

The teacher course evaluation module extracts the knowledge points that the teacher is good at according to the course information in the teacher information record module, and gives the teacher a score for the teaching ability of each knowledge point based on the mutual evaluation between the teachers and the historical evaluation of the students.

The teacher course recommendation module recommends a course group suitable for the teacher to explain according to other personal information provided by the teacher information module and a score of the knowledge point teaching ability provided by the teacher course evaluation module.

The student teacher matching recommendation module is configured to calculate a non-teaching factor correlation, and according to the student information recording module and the teacher information recording module, the student and the teacher match the information except the course information, thereby giving the best match except the course information. Teacher and student combination.

The course teaching module matches the student, the course, and the teacher according to the information given by the student course recommendation module, the teacher course recommendation module, and the student teacher matching recommendation module, Provide the most suitable combination of the three.

According to another object of the present invention, a multi-dimensional matching method for teachers and students for network teaching is provided, including:

Obtaining student personal information through the student terminal and recording it in the student information recording module of the system server;

Obtaining teacher personal information through the teacher terminal and recording it in the teacher information recording module of the system server;

Provide testing to students through the Student Course Test Module of the System Server to determine the student's initial level;

Recommend a course group suitable for the student through the student course recommendation module of the system server;

The score of the teacher's ability to teach each knowledge point is given by the teacher course evaluation module of the system server;

Recommend a course group suitable for the teacher to explain through the teacher course recommendation module of the system server;

Through the student teacher matching recommendation module of the system server, the teacher and student combination that best match the course information are given;

The students, courses, and teachers are matched by the information given by the course teaching module of the system server, and the most suitable combination of the three is provided and taught.

In the present invention, the student/teacher terminal includes but is not limited to: a processor, a network module, a control module, a memory, a display module, and a computer operating system or an intelligent operating system; the terminal may be provided with various extensions through a data bus connection. Various data interfaces of class devices and accessories; the intelligent operating system includes Windows, Android and its improvements, iOS, on which application software can be installed and run, and various application software under computer operating system or intelligent operating system is realized. , services, and features of the app store/platform.

In the present invention, the terminal includes, but is not limited to, a connection connection to the Internet via a connection method such as RJ45/Wi-Fi/Bluetooth/2G/3G/4G/G.hn/Zigbee/Z-ware/RFID, and is connected to the other via the Internet. Terminals or other computers and devices, through a variety of data interfaces or bus methods such as 1394/USB/serial/SATA/SCSI/PCI-E/Thunderbolt/data card interface, Through a connection mode such as HDMI/YpbPr/SPDIF/AV/DVI/VGA/TRS/SCART/Displayport and other audio and video interfaces, various extension devices and accessories are connected to form a conference/teaching device interactive system. The sound capture control module and the motion capture control module with software form, or the sound capture control module and the motion capture control module in the form of data bus onboard hardware, realize voice control and shape control function; connect display/projection through audio and video interface Modules, microphones, audio equipment and other audio and video equipment for display, projection, sound access, audio and video playback, and digital or analog audio and video input and output functions; connected to the camera, microphone, electronic whiteboard, RFID through the data interface The reading device realizes image access, sound access, use control and screen recording of the electronic whiteboard, RFID reading function, and can access and control mobile storage devices, digital devices and other devices through corresponding interfaces; through DLNA/ IGRS technology and internet technology are used to implement functions such as manipulation, interaction and screen switching between multi-screen devices.

In the present invention, a processor is defined to include, but is not limited to, an instruction execution system such as a computer/processor based system, an application specific integrated circuit (ASIC), a computing device, or a non-transitory or non-transitory computer. A readable storage medium acquires or acquires hardware and/or software systems that execute and execute instructions contained in a non-transitory storage medium or non-transitory computer readable storage medium. The processor may also include any controller, state machine, microprocessor, internetwork-based entity, service or feature, or any other analog, digital, and/or mechanical implementation thereof.

In the present invention, the computer readable storage medium is defined to include, but is not limited to, any medium capable of containing, storing, or maintaining programs, information, and data. The computer readable storage medium includes any of a number of physical media such as an electronic medium, a magnetic medium, an optical medium, an electromagnetic medium, or a semiconductor medium. More specific examples of suitable computer readable storage media and memory for use by terminals and servers include, but are not limited to, magnetic computer disks (such as floppy disks or hard drives), magnetic tape, random access memory (RAM), read only memory (ROM), Erasable Programmable Read Only Memory (EPROM), compact disc (CD) or digital video disc (DVD), Blu-ray memory, solid state drive (SSD), flash memory.

In the present invention, the Internet may include a local area network and a wide area Internet, and may be a wired Internet or a wireless Internet, or any combination of these networks.

Through the method and system of the present invention, the students are taught according to their aptitude, so that each student can get more suitable courses and teachers on their own basis. The Summary is provided to introduce a selection of concepts in the <Desc/Clms Page number> This summary is not intended to identify The key features or essential features of the claimed subject matter are not intended to limit the scope of the claimed subject matter. Further, the claimed subject matter is not limited to solving any or all of the disadvantages noted in any part of the invention. achieve.

DRAWINGS

1 is a flow chart showing the steps of a multi-dimensional matching method for teacher-student for network teaching according to the present invention; and

2 is a schematic diagram showing the structure of a teacher-student multi-dimensional matching system for network teaching according to the present invention.

Detailed ways

In view of the problems existing in the prior art, the present invention proposes a multi-dimensional matching method and system for teachers and students in network teaching, aiming at teaching students in accordance with their aptitude, so that each student can get a more suitable course on his or her original basis. teacher.

In order to make the technical solutions of the present invention clearer and clearer, the embodiments of the present invention will be further described in detail below with reference to the accompanying drawings.

1 is a flow chart showing the steps of a multi-dimensional matching method for teachers and students in network teaching according to the present invention.

According to one aspect of the present invention, in order to teach students in accordance with their aptitude, it is necessary to understand the personal information of the student in order to select a suitable course and teacher for him or her.

Step S101: Acquire student personal information through the student terminal and record it in the student information recording module of the system server; acquire the teacher personal information through the teacher terminal and record it in the teacher information recording module of the system server.

The student information recording module records student personal information, including physiological information, interest information, course information, and the like; the teacher information recording module records teacher personal information, including physiological information, interest information, course information, and the like.

Further, the physiological information of the student includes age information, gender information, learning period information, personality information, etc.; the interest information includes reading preference information, sports preference information, art preference information, etc.; the course information includes educational background information and course learning demand information; Educational background information including, academic qualifications Information, professional information, etc.; course learning needs information includes learning objectives information, current level of learning information for the course, and so on.

Further, the physiological information of the teacher includes age information, gender information, teaching time information, personality information, etc.; interest information includes reading preference information, sports preference information, art preference information, etc.; the course information includes educational background information and course teaching characteristics information; Educational background information includes academic qualifications, professional information, etc.; curriculum teaching characteristics information includes good knowledge points, teaching styles, and current research level information (such as academic achievements).

It should be noted that one of the characteristics of web-based teaching different from traditional teaching methods is that there are many uncertainties in all aspects. In the prior art, there is usually no deep understanding of this, which leads to the traditional teaching. Mature curriculum, teachers are often "unacceptable" in Internet teaching.

On the one hand, the situation of students in Internet teaching is different. For example, students are of different ages. For example, in English learning, students of different ages are different from traditional teaching. For example, the preference for a particular subject differs from the importance of a particular subject and the energy invested. Take English learning as an example, including listening, speaking, reading, and writing. For engineering and technical personnel, it is also learning English, but its emphasis on listening and speaking is usually weaker than the emphasis on reading and writing. For students who plan to immigrate, the emphasis on listening and speaking is usually the opposite of that of engineering and technical personnel. For example, the time suitable for learning is different. Online education students include both students and freelancers. There are also in-service students who have different periods of effective learning. For example, the preferred modes of teaching are different. For example, in the case of English learning, some students are willing to accept grammatical re-sentences and even writing articles, while some students Then the preference starts directly from the sentence, cultivating the sense of language and then supplementing the grammar learning.

On the other hand, the situation of teachers in Internet teaching is different. For example, teachers' teaching styles are different, some are subtle and calm, and some are enthusiastic. For example, teachers have different working hours, some full-time teachers can teach on working days, and some part-time teachers can only work on the evening of workdays or Teaching can only be taught on weekends; for example, some teachers are good at encouraging teaching, and some teachers are good at radical teaching.

Step S102: providing a test to the student through the student course test module of the system server to determine the initial level of the student;

In this step, the student is initially tested. In this test, the knowledge points of each level of difficulty included in the student's target learning course are tested step by step, and the test termination threshold is set as needed: for example, when the student passes the Nth level Test, but if the answer to the N+1 level question is not correctly given three times in a row, the level test is ended, the student's initial level is recorded as G _N ; and the test information is submitted to the student information record module of the system server.

Step S103: recommend a course group suitable for the student through the student course recommendation module of the system server;

In this step, based on the test result of step S102, the level of the student in the target learning course can be initially determined, and the student is recommended to meet the student according to the degree of the learning goal desired by the student, the planned total learning time and other related factors. The appropriate course group.

It should be noted that, as mentioned above, different students usually have different initial levels. Even students with the same initial level have different factors depending on factors such as learning objectives and time spent on learning. Different. Different from traditional teaching and Internet-based teaching in the prior art, the present invention considers more realistic relevant factors in the course recommendation.

For example, both Xiao Ming and Xiao Qiang are English learners, all of whom have achieved the excellent level of CET-6 in college English. They all plan to study abroad and are required to participate in the standardized English test (assuming that there are four listening, speaking, reading and writing, each item 25 Points, out of 100 points, four total scores of more than 60 points to meet the minimum application requirements for study abroad), but Xiao Ming's major is news, in addition to meeting the total score of more than 60 points, the additional need to reach writing 20 points or more before you can enter the expectations The school, while Xiaoqiang majored in geophysics, in addition to meeting the total score of more than 60 points, the additional need to reach 20 points or more to enter the desired school. At this time, for different students on the same basis, the system recommends different course groups according to their individual needs. Here, it is called the course group because even for the same students, in order to achieve the goal of passing the test, There are different ways of setting the curriculum. Take Xiaoming as an example. Because of the high writing score requirements, the recommended courses focus on the courses with a large proportion of writing, and because there are no requirements for other grades, the writing is over 20. In the case of points and total scores of more than 60 points, a variety of courses can be recommended. The importance of listening, speaking, reading and writing courses can be "writing, listening, speaking, reading" or "writing, listening, reading," Say "or "write, speak, listen, read", or "write, speak, read, listen", in which "listening, speaking, reading" may also have two or three cases of the same degree of importance, so There are a variety of optional course groups available for the course.

Step S104: giving the teacher each knowledge through the teacher course evaluation module of the system server The rating of the ability to teach.

In this step, the teacher course evaluation module extracts the knowledge points that the teacher is good at according to the course information in the teacher information record module, and gives the teacher each knowledge point based on the mutual evaluation between the teachers and the historical evaluation of the students on the teacher. The grade of the ability to teach.

It should be pointed out that, as mentioned above, in the Internet teaching, different teachers have different teaching abilities for the same knowledge point. Therefore, it is necessary to evaluate the abilities of teachers and the methods of ability assessment for each knowledge point of the course. For the teacher's mutual evaluation and the historical evaluation given by the students who have received the Internet, the evaluation results are included in the relevant teacher information recording module of the system server, and are updated regularly or irregularly.

Step S105: recommend a course group suitable for the teacher to explain through the teacher course recommendation module of the system server;

In this step, based on the scoring result of step S104, the level of the teacher in the target teaching course can be initially determined, and according to the teacher's desired teaching goal degree, the planned total teaching time and other related factors, it is recommended to be suitable for the teacher to accomplish the goal. Course group.

It should be noted that, as mentioned above, similar teachers have different teaching abilities. Even teachers with the same teaching ability have different factors such as the degree of teaching objectives and the time of teaching. The course is also different. Different from traditional teaching and Internet-based teaching in the prior art, the present invention considers more realistic relevant factors in the course recommendation.

Step S106: through the student teacher matching recommendation module of the system server, the teacher and the student combination that are the most matched except the course information are provided; in this step, the information other than the teaching information such as the physiological information and the interest information of the student and the teacher is firstly performed. Correlation calculation, which obtains the non-teaching factor correlation matching value between students and teachers (that is, the calculated correlation degree), according to the obtained non-teaching factor correlation matching value, and compared with the preset minimum matching value, when the income is obtained If the matching value is greater than the minimum matching value, the process proceeds to step S107.

In traditional teaching and online education, the focus of the match between students and teachers is based on the links between the curriculum and the results, and the information is often ignored. As previously mentioned, the acquisition of physiological information and interest information of the student is included in the pre-step of the present invention.

The correlation calculation method can adopt the Euclidean distance in the prior art (Eucledian) Distance) method, Jaccard similarity calculation method, Pearson Correlation Coefficient, Vector Space Model (VSM) method, etc.

The selection of the minimum matching value can be determined according to the number of teachers in the system, the number of students, the difficulty of teaching, the length of the class, the importance of the course, etc., and different minimum matching values are determined according to different needs. In particular, if the matching value cannot reach the minimum matching value, the system no longer performs the recommendation, but transfers to the manual recommendation, and the senior teacher hired by the system service provider further communicates with the student, whether it needs to match the non-teaching factors. Continue to recommend the teacher if the value cannot reach the minimum. In this case, there may be a lack of mutual recognition between the student and the teacher, but the student is forced to be recommended by the teacher in order to complete a certain teaching goal. At this time, the student is receiving the teacher because of the pre-communication. The possibility of retiring lessons is significantly lower than the direct recommendation of the system, thus saving both time, effort and money.

Preferably, the student physiological information includes age information, gender information, learning period information, personality information, and the like.

Preferably, the student interest information includes reading preference information, sports preference information, art preference information, and the like;

Preferably, the physiological information of the teacher includes age information, gender information, teaching period information, personality information, and the like;

Preferably, the teacher interest information includes reading preference information, sports preference information, art preference information, and the like.

The inventor of the present invention has long been engaged in teaching and research work and found that the current education system usually divides and matches students and teachers based on student test scores and teacher teaching achievements. This method does have certain effects in some teaching practice, but with the current change of thinking of young students, the self-awareness of “post-80s” to “post-zero” to “zero after zero” is continuously enhanced, and based on The uncertainty of the students in the network teaching, the establishment of trust between students and teachers and the barrier-free communication play a decisive role in improving students' academic performance.

Therefore, in order to meet this demand, it is necessary to establish a multi-dimensional teacher-student matching model. Specifically, multiple labels can be used to characterize multiple aspects of the student. At the same time, the corresponding aspects of the teacher are characterized and passed the same label. Matching degree, consider whether teachers and students can match and establish mutual Letter relationship.

For example, the labels for students and teachers include age, time, and hobbies. English learner Xiao Ming is 18 years old, study period is rest day, loves football; English learner Xiaoqiang age is 38 years old, study time is rest day, love reading; teacher Tom age 28 years old, teaching time is rest day, hobby Football; Teacher Mike is 58 years old, teaching time is a rest day, loves football. According to the traditional teaching point of view, student achievement and teacher teaching results determine how students and teachers can be paired. At this time, there may be “Xiaoqiang——Tom, Xiaoming-Mike”, “Xiaoqiang-Mike, Xiaoming-Tom”, “ Xiao Ming - Mike, Xiao Qiang - Mike and "Xiao Ming - Tom, Xiao Qiang - Tom" are all reasonable matching methods. In fact, older learners tend to communicate and communicate with older English teachers, while younger learners tend to communicate and communicate with English teachers who are younger than their age. Considering the influence of age on the pairing of teachers and students, the combination of "Xiaoming-Mike" and "Xiaoqiang-Tom" is not conducive to mutual trust between teachers and students, and thus form a good interaction.

It is because of this that the present inventors have proposed a multi-dimensional matching method capable of solving the above problems, that is, characterization of both parties from a plurality of non-teaching factors, and considering the degree of matching, preferably a combination with a high degree of matching.

Step S107: matching the students, the curriculum, and the teacher through the information given by the course teaching module of the system server, providing the most suitable combination of the three, and conducting the teaching, specifically, the information pair given by the course teaching module of the system server Students, courses, and teachers are matched. In the combination of students and teachers who meet the matching values of non-teaching factors, the course information is added to match, so as to obtain the most suitable combination.

In this step, the matching relationship between the students and the curriculum, the matching relationship between the teacher and the curriculum, and the matching relationship between the students and the teachers are provided, and the teaching schemes with high matching degree are provided, and the online teaching is realized through the student terminal and the teacher terminal.

It should be noted that, in step S103, the course group suitable for the student is recommended to the student; in step S105, the course group suitable for the teacher to explain is recommended; in step S106: the teacher and the student who are the most matching except the course information are given. Combination, that is to say, in the above three steps, there are cases where one student corresponds to a plurality of courses, one teacher corresponds to a plurality of courses, and one student corresponds to a plurality of teachers in the same course.

In step S107, it is preferred that the student and the course satisfy the recommendation of step S103, the teacher and the course satisfy the recommendation of step S105, and under the course, the teacher and the student also satisfy the combination matched in step S107; or

Preferably, the teacher and the student satisfy the combination of the steps S107, and try to make the student and the course, the teacher and the course satisfy the recommendation of steps S103 and S105; or

Preferably, the student and the teacher adjust the course selection in the case where the teacher and the student satisfy the combination of the steps S107.

For example, in step S103, the course group is recommended to the student Xiao Ming, including course 1, course 2, course 3; in step S105, course 3 is recommended to the teacher Sam, course, 4, course 5; in step S106, Xiaoming and Sam meet the match. condition. At this time, the teaching plan of the students Xiao Ming, teacher Sam, and course 3 is given.

For another example, in step S103, the course group is recommended to the student Xiao Ming, including course 1, course 2, course 3; in step S105, the course 3', course, 4, course 5 is recommended to the teacher Sam, and the course 1 is recommended to the teacher Mike. Course 2, Course 3; In step S106, Xiao Ming and Sam satisfy the matching condition, and Xiao Ming and Mike do not satisfy the matching condition.

At this time, it is preferred that the teacher Xiao Ming’s teacher is Sam, and then Sam and Xiao Ming choose or adjust between Course 3 and Course 3’ so that all the learning is based on mutual trust.

2 is a detailed schematic diagram of a teacher-student multi-dimensional matching system for network teaching in accordance with the present invention.

According to another object of the present invention, a multi-dimensional matching method for a teacher-student for network teaching includes: a student terminal, a teacher terminal, and a system server, wherein the student terminal, the teacher terminal, and the system server are connected through a data network, and the student terminal Data exchange can be performed between the teacher terminal and the system server. The teacher uses the terminal to teach the class, and the student uses the terminal to accept the course. The student terminal and the teacher terminal each include an input device, an output device, a computing device, and a storage device, wherein the input device can be a keyboard, a mouse, a tablet, a video capture device, a microphone, and the like, and the output device can be a display. The device includes a student information recording module, a teacher information recording module, a student course test module, a student course recommendation module, a teacher course evaluation module, a teacher course recommendation module, a student teacher matching recommendation module, and a course teaching module. The student terminal, the teacher terminal, and the system server each include a memory.

The student information recording module records student personal information, including physiological information, interest information, course information and the like.

The teacher information recording module records teacher personal information, including physiological information, interest information, course information and the like.

The student course test module provides a test to the student based on the course information in the student information record module to determine the initial level of the student.

The student course recommendation module recommends a course group suitable for the student according to other personal information provided by the student information module and the student test score provided by the course test module.

The teacher course evaluation module extracts the knowledge points that the teacher is good at according to the course information in the teacher information record module, and gives the teacher a score for the teaching ability of each knowledge point based on the mutual evaluation between the teachers and the historical evaluation of the students.

The teacher course recommendation module recommends a course group suitable for the teacher to explain according to other personal information provided by the teacher information module and a score of the knowledge point teaching ability provided by the teacher course evaluation module.

The student teacher matching recommendation module performs matching according to the information other than the course information in the student information recording module and the teacher information recording module, thereby providing the most matching teacher and student combination in addition to the course information.

The course teaching module matches the students, the courses, and the teachers according to the information given by the student course recommendation module, the teacher course recommendation module, and the student teacher matching recommendation module, and provides the most suitable combination of the three.

It should be understood that the systems and/or methods to which the invention pertains are exemplary in nature and that such specific embodiments or examples are not to be considered as limiting, as many variations are possible. The specific routines or methods described herein may represent one or more of any number of processing strategies. Thus, the various acts illustrated may be performed in the order illustrated, performed in another order, performed in parallel, or in some cases omitted. Again, the order of the above processes can be changed.

Each embodiment focuses on differences from other embodiments. In particular, for the device embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the description of the method embodiment. The device embodiments described above are merely illustrative The units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, may be located in one place, or may be distributed to multiple networks. On the unit. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the embodiment. Those of ordinary skill in the art can understand and implement without any creative effort.

The subject matter of the present invention includes various features, functions, and/or features, and all novel and non-obvious combinations and sub-combinations of any and all equivalents.

Industrial applicability

The invention provides a multi-dimensional matching method and system for teachers and students for network teaching, aiming at teaching students according to their aptitudes, so that each student can get more suitable courses and teachers on his own basis.

Claims (10)

A multi-dimensional matching system for teachers and students for network teaching, characterized in that Student terminal, teacher terminal, and system server. The system of claim 1 wherein: The student terminal and the teacher terminal each include an input device, an output device, a computing device, and a storage device; The input device can be a keyboard, a mouse, a tablet, a video capture device, a microphone, or the like; The output device can be a display, a speaker, or the like; The system server includes a student information recording module, a teacher information recording module, a student course testing module, a student course recommendation module, a teacher course evaluation module, a teacher course recommendation module, a student teacher matching recommendation module, and a course teaching module; Among them, the student teacher matching recommendation module is used to calculate the relevance of non-teaching factors; The student terminal, the teacher terminal, and the system server each include a memory. The system of claim 2 wherein: The student information recording module records student personal information, including physiological information, interest information, course information, and the like; The teacher information recording module records teacher personal information, including physiological information, interest information, course information and the like. The system of claim 2 wherein: The student course test module provides a test to the student according to the course information in the student information record module to determine the initial level of the student; The student course recommendation module recommends a course group suitable for the student according to other personal information provided by the student information module and the student test score provided by the course test module. The system of claim 2 wherein: The teacher course evaluation module extracts the knowledge points that the teacher is good at according to the course information in the teacher information record module, and gives the teacher a score for each knowledge point teaching ability based on the mutual evaluation between the teachers and the student's historical evaluation of the teacher; The teacher course recommendation module recommends a course group suitable for the teacher to explain according to other personal information provided by the teacher information module and a score of the knowledge point teaching ability provided by the teacher course evaluation module. The system of claim 2 wherein: The student teacher matching recommendation module performs matching according to the information other than the course information in the student information recording module and the teacher information recording module, thereby providing the most matching teacher and student combination in addition to the course information; The course teaching module matches students, courses, and teachers according to the information given by the student course recommendation module, the teacher course recommendation module, and the student teacher matching recommendation module, and provides the most suitable combination of the three. A multi-dimensional matching method for teachers and students for network teaching, which is characterized in that it comprises: Step S101: Acquire student personal information through the student terminal and record it in the student information recording module of the system server, obtain the teacher personal information through the teacher terminal, and record it in the teacher information recording module of the system server; Step S102: providing a test to the student through the student course test module of the system server to determine the initial level of the student; Step S103: recommend a course group suitable for the student through the student course recommendation module of the system server; Step S104: giving a score of the teacher's ability to teach each knowledge point through the teacher course evaluation module of the system server; Step S105: recommend a course group suitable for the teacher to explain through the teacher course recommendation module of the system server; Step S106: through the student teacher matching recommendation module of the system server, the teacher and the student combination which are the most matched except the course information are provided, and the correlation degree is calculated according to the information other than the teaching information such as the physiological information and the interest information of the student and the teacher, thereby Obtain a non-teaching factor correlation matching value between the student and the teacher, according to the obtained non-teaching factor correlation matching value, and compare with the preset minimum matching value, and enter the step when the obtained matching value is greater than the minimum matching value. 107; Step S107: matching the students, the curriculum, and the teacher through the information given by the course teaching module of the system server, and adding the course information to match the student and the teacher combination satisfying the non-teaching factor correlation matching value, thereby obtaining the most suitable combination. . The method of claim 7 wherein: In step S107, it is preferred that the student and the course satisfy the recommendation of step S103, the teacher and the course satisfy the recommendation of step S105, and under the course, the teacher and the student also satisfy the combination matched in step S107; or Preferably, the teacher and the student satisfy the combination of the steps S107, and try to make the student and the course, the teacher and the course satisfy the recommendation of steps S103 and S105; or Preferably, the student and the teacher adjust the course selection in the case where the teacher and the student satisfy the combination of the steps S107. The method of claim 7 wherein: The student's physiological information includes age information, gender information, learning period information, and personality information; Student interest information includes reading preference information, sports preference information, and art preference information. The method of claim 7 wherein: The student's physiological information includes age information, gender information, lecture period information, and personality information; Student interest information includes reading preference information, sports preference information, and art preference information.

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