Intelligent management system and method for applying OPS computer to intelligent teaching

Abstract

The invention relates to the technical field of teaching intelligent management, in particular to an intelligent management system and method for applying an OPS computer to intelligent teaching, and the method comprises the steps: obtaining a teaching class of an intelligent teaching platform, analyzing the learning conditions of different students in the teaching class under a teaching subject, and obtaining the target learning data of the teaching subject; analyzing the matching degree of the historical teaching classes in the historical teaching records with different characteristics and the teaching classes in the current period to the learning state of the teaching subject to obtain marked historical teaching records; extracting marked historical teaching data from the marked historical teaching records, and analyzing learning states of students under teaching of different learning resources to obtain target teaching data; and target teaching data is acquired, the intelligent teaching platform optimizes the learning strategy of the teaching subject under the teaching class in the current period based on the target teaching data, and intelligent teaching management is performed on the teaching class on the intelligent teaching platform.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent teaching management, and specifically to an intelligent management system and method for applying OPS computers to smart teaching. Background Art

[0002] "OPS" has another meaning in the computer field, namely "Open Pluggable Specification", which is a computer designed based on Intel's open pluggable specification. It is mainly used in digital signage and other commercial display fields. At present, it has become the norm to use OPS computers in smart teaching. The OPS computer motherboard has excellent processing power and efficient running speed, and can handle the multimedia resource display of most complex teaching tasks. It also has the characteristics of stability and reliability. It can run stably even under high load for a long time, and is not prone to failure and jamming. In addition, the OPS computer motherboard has rich interfaces, which can be connected to various external devices, such as projectors and audio systems, and can also realize multi-screen interaction and sharing of audio resources, so that teachers can expand hardware equipment according to the actual needs of teaching, provide richer teaching functions and teaching experience, and in the actual teaching process, teachers can also use the OPS computer motherboard to realize multimedia teaching, and use teaching software and teaching resources to explain relevant teaching content, thereby realizing the intelligence of the teaching process.

[0003] In the process of smart teaching, students' learning data will be analyzed to judge their learning situation. However, in real life, the learning situations of different students in different classes are different. How to unify these data to make the analysis of the learning situation of different students in different classes more reasonable and scientific? At the same time, most smart teaching platforms will not perform subsequent operations after analyzing the students' learning situation. However, it is actually very important to search for and obtain the corresponding learning resources and push them to teachers or students based on the students' learning situation. However, most smart teaching platforms can neither reasonably analyze the students' learning situation nor push the corresponding learning resources based on the analysis results. This will not only lead to a large amount of teaching resources being wasted, but may even cause students to feel frustrated and lose interest in learning. Summary of the invention

[0004] The purpose of the present invention is to provide an intelligent management system and method for applying OPS computers to smart teaching, so as to solve the problems existing in the above-mentioned background technology.

[0005] In order to solve the above technical problems, the present invention provides the following technical solution: an intelligent management method for applying an OPS computer to smart teaching, the method comprising: Step S100: obtaining a teaching class of the smart teaching platform, obtaining a teaching subject of the teaching class in the current cycle, obtaining answer records of students in the teaching class under the teaching subject in the current cycle, extracting marked answer data from the answer records, analyzing the learning situation of different students in the teaching class under the teaching subject, and obtaining target learning data of the teaching subject; Step S200: Obtain historical teaching records of the smart teaching platform, obtain historical teaching subjects of the historical teaching records, screen the historical teaching records based on the historical teaching subjects, obtain characteristic historical teaching records, obtain historical characteristic answer data of the characteristic historical teaching records, and analyze the degree of fit between the historical teaching classes in different characteristic historical teaching records and the teaching class learning status of the teaching subject in the current cycle in combination with the target student learning data, and obtain the marked historical teaching records; Step S300: obtaining the marked historical teaching records of the target learning data, extracting the marked historical teaching data from the marked historical teaching records, and analyzing the learning status of the students under the teaching of different learning resources to obtain the target teaching data; Step S400: Obtain target teaching data. Based on the target teaching data, the smart teaching platform optimizes the learning strategies of the teaching subjects under the teaching class in the current cycle, pushes information to relevant personnel of the teaching subjects under the teaching class, and performs intelligent teaching management of the teaching class on the smart teaching platform.

[0006] Furthermore, step S100 includes: Step S101: obtaining a registered teaching class on the smart teaching platform, obtaining a class identifier of the teaching class, obtaining a teaching subject of the teaching class in the current cycle, monitoring and collecting the answering behaviors of each student in the teaching class under the teaching subject, obtaining the answering records of each student in the teaching class under the teaching subject in the current cycle, and obtaining the marked answering data of the students from the answering records, wherein the marked answering data includes the answering information of the students under the teaching subject; Step S102: Obtain the question answer information in the answer record, obtain the numerical value corresponding to the student's answer score for each exercise under the teaching subject from the question answer information, obtain the numerical value corresponding to the full score of each exercise, and calculate the student's marked answer score rate for the exercise ,in, Indicates the numerical value corresponding to the student's answer score under the exercise question, Indicates the numerical value corresponding to the full score of the exercise; Step S103: Calculate the marking score rate of each exercise question by the teaching class in the current cycle, where the marking score rate of each exercise question by the teaching class in the current cycle is The marking score rate : ; in, Indicates the total number of students in the teaching class in the current cycle; Indicates the number of students in the class who have completed the exercise in the current cycle. The percentage of marked questions scored; Step S104: When the teaching class is doing exercises The marking score rate is less than the preset score rate threshold. Mark and obtain marked exercises based on the question answer information The data of several knowledge points involved; Step S105: Obtain a number of marked exercises in the teaching class under the teaching subject in the current cycle, obtain the data of various knowledge points involved in the several exercises, respectively obtain the total number of marked exercises containing various knowledge points as the characteristic value of each knowledge point, calculate the characteristic proportion value of the teaching class to each knowledge point in the teaching subject in the current cycle, wherein the characteristic proportion value of the cth knowledge point : ; in, The total number of marked exercises under the teaching subject for the teaching class in the current cycle; is the characteristic value of the c-th knowledge point; The characteristic proportion values ​​of each knowledge point are obtained and aggregated to obtain the target learning data of the teaching class for the teaching subject in the current cycle.

[0007] Further, step S200 includes: Step S201: Collect the teaching behaviors of each teaching subject of the history teaching class in the historical period, obtain the historical teaching records of the history teaching class, obtain each historical teaching record stored in the smart teaching platform, and obtain the history teaching subject of each historical teaching record; Step S202: obtaining the teaching subject of the target learning data in the current cycle, and when a certain historical teaching record is the same as the teaching subject corresponding to the target learning data, retaining the certain historical teaching record, and recording the certain historical teaching record as a characteristic historical teaching record; Step S203: Acquire each characteristic historical teaching record of the target learning data, and acquire historical characteristic answer data of the characteristic historical teaching record, wherein the historical characteristic answer data includes data of various knowledge points involved in various history exercises of the history teaching class stored in the characteristic historical teaching record, wherein the marking score rate of each history exercise of the history teaching class is less than a preset historical score rate threshold, and acquire the characteristic proportion value of each knowledge point in the characteristic historical teaching record; Step S204: Obtain the target learning data corresponding to the teaching subject in the current cycle, and calculate the labeled learning fit value between each characteristic historical teaching record and the teaching class, where the labeled learning fit value of the fth characteristic historical teaching record and the teaching class is : ; Where z represents the total number of knowledge points in the target learning data; Indicates the feature proportion of the xth knowledge point in the target learning data; It is expressed as the feature proportion of the xth knowledge point in the fth feature historical teaching record; Step S205: When the f-th characteristic historical teaching record has a matching value with the marked learning of the teaching class greater than a preset marked learning matching threshold, it is determined that the historical teaching class in the f-th characteristic historical teaching record matches the learning status of the teaching class for the teaching subject in the current cycle, and the f-th characteristic historical teaching record is recorded as a marked historical teaching record, and each marked historical teaching record of the target learning data is obtained; The reason why the historical teaching records of teaching subjects are screened in the above steps is that the teaching methods and teaching resources of different subjects may be very different in the teaching process. In order to ensure the accuracy of the data, the historical teaching records of teaching subjects that are different for the teaching classes in the current cycle are eliminated, and the marked learning fit value is used to analyze the degree of fit between the historical teaching classes in historical teaching records with different characteristics and the learning status of the teaching subjects in the current cycle. This is because the marked learning fit value is actually to compare the knowledge points with poor learning effects of students in the teaching classes in the current cycle under the teaching subjects with the knowledge points with poor learning effects of students in the historical teaching records. When the knowledge points with poor learning effects of the two students are mostly the same, it shows that the learning situations between the two are roughly the same. Such analysis is not only scientific and accurate, but also more efficient and reasonable.

[0008] Furthermore, step S300 includes: Step S301: Acquire each marked historical teaching record of the target learning data in the current cycle, and extract the marked historical teaching data from each marked historical teaching record, wherein the marked teaching data includes the teaching resources under various teaching methods of the history teaching class in the marked historical teaching record; Step S302: Obtain each marked historical teaching record of the target learning data in the current cycle, obtain the average score of the history teaching class in each marked historical teaching record when the history teaching class conducts a knowledge point test after teaching, and obtain the value corresponding to the full score of the history teaching class in each marked historical teaching record when the history teaching class conducts a knowledge point test after teaching; Step S303: Calculate the marking score value of each marked historical teaching record, where the marking score value of the kth marked historical teaching record is : ; in, is the average score of the history teaching class in the k-th marked history teaching record when the history teaching class takes the knowledge point test after teaching; is the value corresponding to the full score of the history teaching class in the k-th marked history teaching record when the history teaching class takes the knowledge point test after teaching; Step S304: when the marking score value of a certain marked historical teaching record is less than a preset marking score threshold, the certain marked historical teaching record is eliminated, and a number of marked historical teaching records retained in the target learning data in the current cycle are obtained; Step S305: obtaining the teaching resources under various teaching methods of the history teaching classes in a number of marked historical teaching records, respectively obtaining the total number of marked historical teaching records containing various teaching methods, and using it as the numerical value corresponding to the method priority value of each teaching method; Step S306: Gather the teaching resources under various teaching methods of several history teaching classes in the marked historical teaching records to obtain the target teaching data of the teaching classes under the teaching subjects in the current cycle.

[0009] Furthermore, step S400 includes: Step S401: obtaining target teaching data, obtaining various teaching methods of the target teaching data in the current cycle, obtaining method priority values ​​of various teaching methods, and ranking the teaching methods according to the order of the method priority values; Step S402: Acquire the teaching resources of various teaching methods from the target teaching data, and use the smart teaching platform to integrate and optimize the teaching resources of various teaching methods in the current cycle. When the teaching resources of a certain teaching method are the same as the teaching resources of another teaching method, mark the same teaching resources, and rank them according to the priority of the recommendation priority of each teaching method. Recommend the teaching methods to the relevant personnel of the teaching subjects under the teaching class, highlight the marked teaching resources of each teaching method, and perform intelligent teaching management of the teaching class on the smart teaching platform.

[0010] In order to better implement the above method, an intelligent management system is also proposed, which includes a target learning data module, a marking history teaching record module, a target teaching data module, and an intelligent teaching management module; The target learning data module is used to obtain the answer records of students in the teaching class under the teaching subject in the current cycle, extract the marked answer data from the answer records, analyze the learning situation of different students in the teaching class under the teaching subject, and obtain the target learning data of the teaching subject; The marked historical teaching record module is used to obtain the historical characteristic answer data of the characteristic historical teaching record, and analyze the degree of fit between the historical teaching class in the different characteristic historical teaching records and the teaching class in the current cycle for the learning status of the teaching subject, in combination with the target student learning data, to obtain the marked historical teaching record; The target teaching data module is used to obtain the marked historical teaching records of the target learning data, extract the marked historical teaching data from the marked historical teaching records, and analyze the learning status of students under the teaching of different learning resources to obtain the target teaching data; The intelligent teaching management module is used to optimize the learning strategies of the teaching subjects under the teaching classes in the current cycle, push information to the relevant personnel of the teaching subjects under the teaching classes, and perform intelligent teaching management of the teaching classes on the smart teaching platform.

[0011] Further, the target learning data module includes a marking score rate unit and a target learning data unit; The marking score rate unit is used to obtain the value corresponding to the full score of each exercise question, calculate the marking score rate of the students for the exercise questions, and calculate the marking score rate of each exercise question for the teaching class in the current cycle based on the marking score rate; The target learning data unit is used to obtain and aggregate the characteristic proportion values ​​of various knowledge points to obtain the target learning data of the teaching class for the teaching subject in the current cycle.

[0012] Furthermore, the marking historical teaching record module includes a marking learning fit value unit and a marking historical teaching record unit; The marked learning fit value unit is used to obtain the target learning data corresponding to the teaching subject in the current cycle and calculate the marked learning fit value of each characteristic historical teaching record and the teaching class; The marked historical teaching record unit is used to determine whether the historical teaching class in the characteristic historical teaching record is consistent with the learning status of the teaching class for the teaching subject in the current cycle. When the historical teaching class in the characteristic historical teaching record is determined to be consistent with the learning status of the teaching class for the teaching subject in the current cycle, the characteristic historical teaching record is recorded as a marked historical teaching record.

[0013] Further, the target teaching data module includes a marking grade value unit and a target teaching data unit; The marking grade value unit is used to obtain each marking historical teaching record of the target learning data in the current cycle and calculate the marking grade value of each marking historical teaching record; The target teaching data unit is used to collect the teaching resources under various teaching methods of several history teaching classes in the marked historical teaching records to obtain the target teaching data of the teaching classes under the teaching subjects in the current cycle.

[0014] Further, the intelligent teaching management module includes an intelligent teaching management unit; The intelligent teaching management unit is used to recommend teaching methods to relevant personnel of the teaching subjects in the teaching class, highlight the marked teaching resources of each teaching method, and conduct intelligent teaching management of the teaching class on the smart teaching platform.

[0015] Compared with the prior art, the beneficial effects achieved by the present invention are as follows: the present invention realizes intelligent evaluation of students' learning situation based on the acquired students' learning and answering data, and intelligently manages the teaching in the teaching class in the current cycle based on the historical teaching records stored in the smart teaching platform. The learning situations of different students in the teaching class are different. In order to obtain the learning situation of different students, the answering situation of each student in the class in the current cycle is first analyzed, and the exercises with a high error rate of students in the class are found for analysis, so as to obtain the knowledge points where the students in the teaching class have poor learning, so that the subsequent optimization of teaching in the teaching class is more reasonable, and not only the teaching method can be optimized, but also the corresponding teaching materials can be pushed according to the student situation of the students in the teaching class, so that the teaching resources can be fully utilized. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] The accompanying drawings are used to provide a further understanding of the present invention and constitute part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings: Figure 1 It is a method flow chart of applying OPS computer to intelligent management system and method of smart teaching in the present invention; Figure 2 It is a module schematic diagram of the intelligent management system and method of applying OPS computers to smart teaching in the present invention. DETAILED DESCRIPTION

[0017] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0018] See also Figure 1-Figure 2 The present invention provides a technical solution: an intelligent management method for applying an OPS computer to smart teaching, the method comprising: Step S100: obtaining a teaching class of the smart teaching platform, obtaining a teaching subject of the teaching class in the current cycle, obtaining answer records of students in the teaching class under the teaching subject in the current cycle, extracting marked answer data from the answer records, analyzing the learning situation of different students in the teaching class under the teaching subject, and obtaining target learning data of the teaching subject; Wherein, step S100 includes: Step S101: obtaining a registered teaching class on the smart teaching platform, obtaining a class identifier of the teaching class, obtaining a teaching subject of the teaching class in the current cycle, monitoring and collecting the answering behaviors of each student in the teaching class under the teaching subject, obtaining the answering records of each student in the teaching class under the teaching subject in the current cycle, and obtaining the marked answering data of the students from the answering records, wherein the marked answering data includes the answering information of the students under the teaching subject; Step S102: Obtain the question answer information in the answer record, obtain the numerical value corresponding to the student's answer score for each exercise under the teaching subject from the question answer information, obtain the numerical value corresponding to the full score of each exercise, and calculate the student's marked answer score rate for the exercise ,in, Indicates the numerical value corresponding to the student's answer score under the exercise question, Indicates the numerical value corresponding to the full score of the exercise; Step S103: Calculate the marking score rate of each exercise question by the teaching class in the current cycle, where the marking score rate of each exercise question by the teaching class in the current cycle is The marking score rate : ; in, Indicates the total number of students in the teaching class in the current cycle; Indicates the number of students in the class who have completed the exercise in the current cycle. The percentage of marked questions scored; Step S104: When the teaching class is doing exercises The marking score rate is less than the preset score rate threshold. Mark and obtain marked exercises based on the question answer information The data of several knowledge points involved; Step S105: Obtain a number of marked exercises in the teaching class under the teaching subject in the current cycle, obtain the data of various knowledge points involved in the several exercises, respectively obtain the total number of marked exercises containing various knowledge points as the characteristic value of each knowledge point, calculate the characteristic proportion value of the teaching class to each knowledge point in the teaching subject in the current cycle, wherein the characteristic proportion value of the cth knowledge point : ; in, The total number of marked exercises under the teaching subject for the teaching class in the current cycle; is the characteristic value of the c-th knowledge point; For example, the feature value of the second knowledge point is 10; the total number of marked exercises under the teaching subject in the current teaching class is 100; calculate the feature ratio value of the second knowledge point ; Obtain and aggregate the characteristic proportions of various knowledge points to obtain the target learning data of the teaching class for the teaching subject in the current cycle; Step S200: obtaining historical teaching records of the smart teaching platform, obtaining historical teaching subjects of the historical teaching records, screening the historical teaching records based on the historical teaching subjects, obtaining characteristic historical teaching records, obtaining historical characteristic answer data of the characteristic historical teaching records, and combining the target student learning data, analyzing the degree of fit between the historical teaching classes in the different characteristic historical teaching records and the teaching class learning status of the teaching subject in the current cycle, and obtaining the marked historical teaching records; wherein, step S200 includes: Step S201: Collect the teaching behaviors of each teaching subject of the history teaching class in the historical period, obtain the historical teaching records of the history teaching class, obtain each historical teaching record stored in the smart teaching platform, and obtain the history teaching subject of each historical teaching record; Step S202: obtaining the teaching subject of the target learning data in the current cycle, and when a certain historical teaching record is the same as the teaching subject corresponding to the target learning data, retaining the certain historical teaching record, and recording the certain historical teaching record as a characteristic historical teaching record; Step S203: Acquire each characteristic historical teaching record of the target learning data, and acquire historical characteristic answer data of the characteristic historical teaching record, wherein the historical characteristic answer data includes data of various knowledge points involved in various history exercises of the history teaching class stored in the characteristic historical teaching record, wherein the marking score rate of each history exercise of the history teaching class is less than a preset historical score rate threshold, and acquire the characteristic proportion value of each knowledge point in the characteristic historical teaching record; Step S204: Obtain the target learning data corresponding to the teaching subject in the current cycle, and calculate the labeled learning fit value between each characteristic historical teaching record and the teaching class, where the labeled learning fit value of the fth characteristic historical teaching record and the teaching class is : ; Where z represents the total number of knowledge points in the target learning data; Indicates the feature proportion of the xth knowledge point in the target learning data; It is expressed as the feature proportion of the xth knowledge point in the fth feature historical teaching record; Step S205: When the f-th characteristic historical teaching record has a matching value with the marked learning of the teaching class greater than a preset marked learning matching threshold, it is determined that the historical teaching class in the f-th characteristic historical teaching record matches the learning status of the teaching class for the teaching subject in the current cycle, and the f-th characteristic historical teaching record is recorded as a marked historical teaching record, and each marked historical teaching record of the target learning data is obtained; Step S300: obtaining the marked historical teaching records of the target learning data, extracting the marked historical teaching data from the marked historical teaching records, and analyzing the learning status of the students under the teaching of different learning resources to obtain the target teaching data; wherein, step S300 includes: Step S301: Acquire each marked historical teaching record of the target learning data in the current cycle, and extract the marked historical teaching data from each marked historical teaching record, wherein the marked teaching data includes the teaching resources under various teaching methods of the history teaching class in the marked historical teaching record; For example, various teaching methods include lecture method, discussion method, etc.; Step S302: Obtain each marked historical teaching record of the target learning data in the current cycle, obtain the average score of the history teaching class in each marked historical teaching record when the history teaching class conducts a knowledge point test after teaching, and obtain the value corresponding to the full score of the history teaching class in each marked historical teaching record when the history teaching class conducts a knowledge point test after teaching; Step S303: Calculate the marking score value of each marked historical teaching record, where the marking score value of the kth marked historical teaching record is : ; in, is the average score of the history teaching class in the k-th marked history teaching record when the history teaching class takes the knowledge point test after teaching; is the value corresponding to the full score of the history teaching class in the k-th marked history teaching record when the history teaching class takes the knowledge point test after teaching; For example, after the first history teaching record, the history teaching class in the history teaching record has an average score of 70 points when taking the knowledge point test; after the first history teaching record, the history teaching class in the history teaching record has an average score of 100 points when taking the knowledge point test; the kth history teaching record has an average score of 100 points. ; Step S304: when the marking score value of a certain marked historical teaching record is less than a preset marking score threshold, the certain marked historical teaching record is eliminated, and a number of marked historical teaching records retained in the target learning data in the current cycle are obtained; Step S305: obtaining the teaching resources under various teaching methods of the history teaching classes in a number of marked historical teaching records, respectively obtaining the total number of marked historical teaching records containing various teaching methods, and using it as the numerical value corresponding to the method priority value of each teaching method; Step S306: Gather the teaching resources under various teaching methods of the history teaching classes in the marked history teaching records to obtain the target teaching data of the teaching classes under the teaching subjects in the current cycle; Step S400: Obtain target teaching data. Based on the target teaching data, the smart teaching platform optimizes the learning strategy of the teaching subjects under the teaching class in the current cycle, pushes information to relevant personnel of the teaching subjects under the teaching class, and performs intelligent teaching management of the teaching class on the smart teaching platform; Wherein, step S400 includes: Step S401: obtaining target teaching data, obtaining various teaching methods of the target teaching data in the current cycle, obtaining method priority values ​​of various teaching methods, and ranking the teaching methods according to the order of the method priority values; Step S402: obtaining teaching resources of various teaching methods from target teaching data, integrating and optimizing the teaching resources of various teaching methods in the current cycle using the smart teaching platform, marking the same teaching resources when the teaching resources of a certain teaching method are identical to those of another teaching method, and recommending teaching methods to relevant personnel of teaching subjects under the teaching class according to the priority of recommendation of each teaching method, and highlighting the marked teaching resources of each teaching method, and performing intelligent teaching management of the teaching class on the smart teaching platform; In order to better implement the above method, an intelligent management system is also proposed, which includes a target learning data module, a marking history teaching record module, a target teaching data module, and an intelligent teaching management module; The target learning data module is used to obtain the answer records of students in the teaching class under the teaching subject in the current cycle, extract the marked answer data from the answer records, analyze the learning situation of different students in the teaching class under the teaching subject, and obtain the target learning data of the teaching subject; The marked historical teaching record module is used to obtain the historical characteristic answer data of the characteristic historical teaching record, and analyze the degree of fit between the historical teaching class in the different characteristic historical teaching records and the teaching class in the current cycle for the learning status of the teaching subject, in combination with the target student learning data, to obtain the marked historical teaching record; The target teaching data module is used to obtain the marked historical teaching records of the target learning data, extract the marked historical teaching data from the marked historical teaching records, and analyze the learning status of students under the teaching of different learning resources to obtain the target teaching data; The intelligent teaching management module is used to optimize the learning strategies of the teaching subjects in the teaching class in the current cycle, push information to the relevant personnel of the teaching subjects in the teaching class, and perform intelligent teaching management of the teaching class on the smart teaching platform; Among them, the target learning data module includes a marking score rate unit and a target learning data unit; The marking score rate unit is used to obtain the value corresponding to the full score of each exercise question, calculate the marking score rate of the students for the exercise questions, and calculate the marking score rate of each exercise question for the teaching class in the current cycle based on the marking score rate; The target learning data unit is used to obtain and aggregate the characteristic proportion values ​​of various knowledge points to obtain the target learning data of the teaching class for the teaching subject in the current cycle; Among them, the marking historical teaching record module includes a marking learning fit value unit and a marking historical teaching record unit; The marked learning fit value unit is used to obtain the target learning data corresponding to the teaching subject in the current cycle and calculate the marked learning fit value of each characteristic historical teaching record and the teaching class; The marked historical teaching record unit is used to determine whether the historical teaching class in the characteristic historical teaching record is consistent with the learning status of the teaching class in the current cycle for the teaching subject. When the historical teaching class in the characteristic historical teaching record is determined to be consistent with the learning status of the teaching class in the current cycle for the teaching subject, the characteristic historical teaching record is recorded as a marked historical teaching record; Among them, the target teaching data module includes a marking score value unit and a target teaching data unit; The marking grade value unit is used to obtain each marking historical teaching record of the target learning data in the current cycle and calculate the marking grade value of each marking historical teaching record; The target teaching data unit is used to collect the teaching resources under various teaching methods of several history teaching classes in the marked historical teaching records to obtain the target teaching data of the teaching classes under the teaching subjects in the current cycle.

[0019] Among them, the intelligent teaching management module includes an intelligent teaching management unit; The intelligent teaching management unit is used to recommend teaching methods to relevant personnel of the teaching subjects in the teaching class, highlight the marked teaching resources of each teaching method, and conduct intelligent teaching management of the teaching class on the smart teaching platform.

[0020] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0021] Finally, it should be noted that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. An intelligent management method for applying OPS computers to smart teaching, characterized in that: The method comprises: Step S100: obtaining a teaching class of the smart teaching platform, obtaining a teaching subject of the teaching class in the current cycle, obtaining answer records of students in the teaching class under the teaching subject in the current cycle, extracting marked answer data from the answer records, analyzing the learning situations of different students in the teaching class under the teaching subject, and obtaining target learning data of the teaching subject; Step S200: obtaining historical teaching records of the smart teaching platform, obtaining historical teaching subjects of the historical teaching records, screening the historical teaching records based on the historical teaching subjects to obtain characteristic historical teaching records, obtaining historical characteristic answer data of the characteristic historical teaching records, and analyzing the degree of fit between the historical teaching classes in different characteristic historical teaching records and the learning status of the teaching classes for the teaching subjects in the current cycle in combination with the target student learning data, to obtain marked historical teaching records; Step S300: obtaining the marked historical teaching records of the target learning data, extracting the marked historical teaching data from the marked historical teaching records, and analyzing the learning status of the students under the teaching of different learning resources to obtain the target teaching data; Step S400: Acquire the target teaching data. Based on the target teaching data, the smart teaching platform optimizes the learning strategy of the teaching subject under the teaching class in the current cycle, pushes information to relevant personnel of the teaching subject under the teaching class, and performs intelligent teaching management of the teaching class on the smart teaching platform.

2. The intelligent management method of applying OPS computers to smart teaching according to claim 1 is characterized in that: The step S100 includes: Step S101: obtaining a registered teaching class on the smart teaching platform, obtaining a class identifier of the teaching class, obtaining a teaching subject of the teaching class in the current cycle, monitoring and collecting the answering behaviors of each student in the teaching class under the teaching subject, obtaining the answering records of each student in the teaching class under the teaching subject in the current cycle, and obtaining the marked answering data of the students from the answering records, wherein the marked answering data includes the answering information of the students under the teaching subject; Step S102: Obtain the question answer information in the answer record, obtain the numerical value corresponding to the student's answer score for each exercise question under the teaching subject from the question answer information, obtain the numerical value corresponding to the full score of each exercise question, and calculate the student's marked answer score rate for the exercise question ,in, represents the numerical value corresponding to the answer score of the student under the exercise, Indicates the numerical value corresponding to the full score of the exercise; Step S103: Calculate the marking score rate of each exercise question by the teaching class in the current cycle, wherein the marking score rate of each exercise question by the teaching class in the current cycle is The marking score rate : ； in, Indicates the total number of students in the teaching class in the current cycle; Indicates the number of students in the class who have completed the exercise in the current cycle. The percentage of marked questions scored; Step S104: When the teaching class The marking score rate is less than the preset score rate threshold, Marking, based on the question answering information, obtaining the marked exercise question The data of several knowledge points involved; Step S105: Obtain a number of marked exercises in the teaching class under the teaching subject in the current cycle, obtain data on various knowledge points involved in the several exercises, respectively obtain the total number of marked exercises containing the various knowledge points as the characteristic values ​​of the various knowledge points, calculate the characteristic proportion values ​​of the teaching class to the various knowledge points in the teaching subject in the current cycle, wherein the characteristic proportion value of the cth knowledge point : ； in, The total number of marked exercises under the teaching subject in the teaching class in the current cycle; is the characteristic value of the c-th knowledge point; The characteristic proportion values ​​of the various knowledge points are obtained and aggregated to obtain the target learning data of the teaching class for the teaching subject in the current cycle.

3. The intelligent management method of applying OPS computers to smart teaching according to claim 2 is characterized in that: The step S200 includes: Step S201: collecting the teaching behaviors of each teaching subject of the history teaching class in the historical period, obtaining the historical teaching records of the history teaching class, obtaining each historical teaching record stored in the smart teaching platform, and obtaining the history teaching subject of each historical teaching record; Step S202: obtaining the teaching subject of the target learning data in the current cycle, and when a certain historical teaching record is the same as the teaching subject corresponding to the target learning data, retaining the certain historical teaching record and recording the certain historical teaching record as a characteristic historical teaching record; Step S203: Acquire each characteristic historical teaching record of the target learning data, and acquire historical characteristic answer data of the characteristic historical teaching record, wherein the historical characteristic answer data includes data of various knowledge points involved in various history exercises of the history teaching class stored in the characteristic historical teaching record, wherein the marking score rate of the history teaching class for each history exercise is less than a preset historical score rate threshold, and acquire the characteristic proportion value of each knowledge point in the characteristic historical teaching record; Step S204: Obtain the target learning data corresponding to the teaching subject in the current cycle, and calculate the labeled learning fit value between each characteristic historical teaching record and the teaching class, wherein the labeled learning fit value of the fth characteristic historical teaching record and the teaching class is : ； Wherein, z represents the total number of knowledge points of the target learning data; Represents the feature proportion value of the xth knowledge point in the target learning data; It is represented by the feature proportion value of the xth knowledge point in the fth feature historical teaching record; Step S205: When the f-th characteristic historical teaching record has a mark learning match value greater than a preset mark learning match threshold, it is determined that the historical teaching class in the f-th characteristic historical teaching record is consistent with the learning status of the teaching class for the teaching subject in the current cycle, and each f-th characteristic historical teaching record is recorded as a mark historical teaching record, and each mark historical teaching record of the target learning data is obtained.

4. The intelligent management method of applying OPS computers to smart teaching according to claim 3 is characterized in that: The step S300 includes: Step S301: Acquire each marked historical teaching record of the target learning data in the current cycle, and extract the marked historical teaching data from each marked historical teaching record, wherein the marked teaching data includes the teaching resources under each teaching method of the history teaching class in the marked historical teaching record; Step S302: Obtain each marked historical teaching record of the target learning data in the current cycle, obtain the average score of the history teaching class in each marked historical teaching record when the history teaching class performs a knowledge point test after teaching, and obtain the value corresponding to the full score of the history teaching class in each marked historical teaching record when the history teaching class performs a knowledge point test after teaching; Step S303: Calculate the mark score value of each marked historical teaching record, where the mark score value of the kth marked historical teaching record is : ； in, is the average score of the history teaching class in the k-th marked history teaching record when the history teaching class takes a knowledge point test after teaching; is a numerical value corresponding to the full score of a knowledge point test of the history teaching class in the k-th marked history teaching record after the teaching; Step S304: when the marking score value of a certain marked historical teaching record is less than a preset marking score threshold, the certain marked historical teaching record is eliminated, and a number of marked historical teaching records retained in the target learning data in the current cycle are obtained; Step S305: obtaining the teaching resources under each teaching method of the history teaching class in the plurality of marked historical teaching records, respectively obtaining the total number of marked historical teaching records containing each teaching method, and using it as the numerical value corresponding to the method priority value of each teaching method; Step S306: Gather the teaching resources under various teaching methods of the history teaching classes in the plurality of marked historical teaching records to obtain target teaching data of the teaching class under the teaching subject in the current cycle.

5. The intelligent management method of applying OPS computers to smart teaching according to claim 4 is characterized in that: The step S400 includes: Step S401: acquiring the target teaching data, acquiring various teaching methods of the target teaching data in the current cycle, acquiring method priority values ​​of the various teaching methods, and ranking the various teaching methods according to the order of the method priority values; Step S402: Acquire the teaching resources of each teaching method from the target teaching data, and use the smart teaching platform to integrate and optimize the teaching resources of each teaching method in the current cycle. When the teaching resources of a certain teaching method are the same as the teaching resources of another teaching method, mark the same teaching resources, and rank them according to the priority of the recommendation priority of each teaching method. Recommend teaching methods to relevant personnel of the teaching subject under the teaching class, highlight the marked teaching resources of each teaching method, and perform intelligent teaching management of the teaching class on the smart teaching platform.

6. An intelligent management system using the intelligent management method of applying OPS computers to smart teaching as described in any one of claims 1 to 5, characterized in that: The intelligent management system includes a target learning data module, a marking history teaching record module, a target teaching data module, and an intelligent teaching management module; The target learning data module is used to obtain the answer records of the students in the teaching class under the teaching subject in the current cycle, extract the marked answer data from the answer records, analyze the learning conditions of different students in the teaching class under the teaching subject, and obtain the target learning data of the teaching subject; The marked historical teaching record module is used to obtain the historical characteristic answer data of the characteristic historical teaching record, and analyze the degree of fit between the history teaching class in the different characteristic historical teaching records and the learning status of the teaching class in the current cycle for the teaching subject in combination with the target student learning data, so as to obtain the marked historical teaching record; The target teaching data module is used to obtain the marked historical teaching records of the target learning data, extract the marked historical teaching data from the marked historical teaching records, and analyze the learning status of students under the teaching of different learning resources to obtain the target teaching data; The intelligent teaching management module is used to optimize the learning strategy of the teaching subject under the teaching class in the current cycle, push information to relevant personnel of the teaching subject under the teaching class, and perform intelligent teaching management of the teaching class on the smart teaching platform.

7. The intelligent management system according to claim 6, characterized in that: The target learning data module includes a marking score rate unit and a target learning data unit; The marking score rate unit is used to obtain the numerical value corresponding to the full score of each exercise question, calculate the marking score rate of the students for the exercise questions, and calculate the marking score rate of each exercise question of the teaching class in the current cycle according to the marking score rate; The target learning data unit is used to obtain and collect the characteristic proportion values ​​of the various knowledge points to obtain the target learning data of the teaching class for the teaching subject in the current cycle.

8. The intelligent management system according to claim 6, characterized in that: The marking history teaching record module includes a marking learning fit value unit and a marking history teaching record unit; The marked learning fit value unit is used to obtain the target learning data corresponding to the teaching subject in the current cycle, and calculate the marked learning fit value between each characteristic historical teaching record and the teaching class; The marked historical teaching record unit is used to determine whether the historical teaching class in the characteristic historical teaching record is consistent with the learning status of the teaching class for the teaching subject in the current period. When the historical teaching class in the characteristic historical teaching record is determined to be consistent with the learning status of the teaching class for the teaching subject in the current period, the characteristic historical teaching record is recorded as a marked historical teaching record.

9. The intelligent management system according to claim 6, characterized in that: The target teaching data module includes a marking grade value unit and a target teaching data unit; The marked achievement value unit is used to obtain each marked historical teaching record of the target learning data in the current cycle, and calculate the marked achievement value of each marked historical teaching record; The target teaching data unit is used to collect the teaching resources under various teaching methods of the history teaching classes in the several marked historical teaching records to obtain the target teaching data of the teaching class under the teaching subject in the current cycle.

10. The intelligent management system according to claim 6, characterized in that: The intelligent teaching management module includes an intelligent teaching management unit; The intelligent teaching management unit is used to recommend teaching methods to relevant personnel of the teaching subject under the teaching class, and highlight the marked teaching resources of each teaching method, and perform intelligent teaching management of the teaching class on the smart teaching platform.

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