CN108492220B - Teaching control method based on data analysis, storage medium and server - Google Patents
Teaching control method based on data analysis, storage medium and server Download PDFInfo
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- CN108492220B CN108492220B CN201810090299.2A CN201810090299A CN108492220B CN 108492220 B CN108492220 B CN 108492220B CN 201810090299 A CN201810090299 A CN 201810090299A CN 108492220 B CN108492220 B CN 108492220B
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Abstract
The invention discloses a teaching control method based on data analysis, a storage medium and a server.A student operation data, a teacher operation data and a real-time monitoring data corresponding to the whole teaching process in an education system with a preset duration are collected in a preset range aiming at all networked teaching systems; performing data analysis on the collected operation data and the collected real-time monitoring data to obtain corresponding data analysis results; monitoring the teaching process in real time, and managing and controlling the teaching process according to the obtained data analysis result; the purpose of managing and controlling the teaching process through data analysis of student operation data, teacher operation data and monitoring data is achieved; the intelligence of teaching management and control and the efficiency of teaching management and control are improved, the human cost is saved, and the selectivity of teaching management and control is increased.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a teaching control method based on data analysis, a storage medium and a server.
Background
With the continuous development, progress and popularization of the internet, the internet participates in more and more fields. For an education system, most numerical control devices are not networked, and even if the numerical control devices of some schools are networked, the operation data of all the numerical control devices in the teaching process cannot be automatically extracted.
In practical application, the operation data of the existing numerical control equipment in the teaching process are collected manually, for example, the operation data of students in learning are generally checked and guided one by teachers giving lessons; for the operation data of the teacher during teaching, if the teacher does not save the operation data manually, the operation data of this time is not saved after the machine is closed, and the corresponding operation record data is not extracted. Therefore, the existing data platform cannot automatically collect the operation data of the students during learning and the operation data of the teachers during teaching, and cannot manage and control the teaching process through data analysis of the student operation data and the teacher operation data.
Disclosure of Invention
The invention provides a teaching control method based on data analysis, a storage medium and a server, and aims to achieve the purpose of controlling a teaching process through data analysis of student operation data, teacher operation data and monitoring data.
The invention provides a teaching control method based on data analysis, which comprises the following steps:
aiming at all the networked teaching systems, collecting student operation data, teacher operation data and real-time monitoring data corresponding to the whole teaching process in the teaching system with preset duration in a preset range;
performing data analysis on the collected operation data and the collected real-time monitoring data to obtain corresponding data analysis results;
and monitoring the teaching process in real time, and managing and controlling the teaching process according to the obtained data analysis result.
Preferably, the collecting, within a preset range, for all the networked teaching systems, the student operation data, teacher operation data and real-time monitoring data corresponding to the teaching systems for a preset duration includes:
aiming at all the networked teaching systems in a preset range, according to a preset period, respectively acquiring the teaching systems comprising: the teacher unique identification code, the position of the teacher, the teaching time, the teaching content and the teacher operation data of the teaching progress;
and comprises: the unique identification code of the student, the position of the student, the programming qualification rate, the programming completion time, the operation steps, the operation content and the student operation data of the time length consumed for the students with preset percentage in the past to master the corresponding knowledge points;
And comprises: and (5) real-time monitoring data of student operation learning and teacher education teaching.
Preferably, the performing data analysis on the collected operation data and the real-time monitoring data to obtain a corresponding data analysis result includes:
according to a preset analysis rule, performing data analysis on all collected operation data and real-time monitoring data to obtain data analysis results corresponding to all the operation data and the real-time monitoring data;
or:
receiving a data analysis instruction triggered by a user, analyzing the data analysis instruction, and acquiring data to be analyzed and/or an analysis mode corresponding to the data analysis instruction;
extracting the data to be analyzed from the collected operation data and/or real-time monitoring data, and performing data analysis on the data to be analyzed according to a preset analysis rule or an analysis mode corresponding to the data analysis instruction to obtain a corresponding data analysis result.
Preferably, the performing data analysis on the collected operation data and the real-time monitoring data to obtain a corresponding data analysis result includes:
for each knowledge point, the time taken for students with a preset percentage in the past students to master the corresponding knowledge point is { Ti1, Ti2 … … Tin }, wherein i represents the serial number of the knowledge point, n represents different students, and then for the nth student, the difficulty coefficient Di of the ith knowledge point in the teaching is:
arranging the corresponding knowledge points according to the sequence from first to last according to the calculated difficulty coefficient Di of the corresponding knowledge points to obtain a difficulty queue of the knowledge points;
and selecting the knowledge points with preset names in the knowledge point difficulty queue as teaching key points and difficulty points according to real-time monitoring data.
Preferably, the real-time monitoring of the teaching process, the management and control of the teaching process according to the obtained data analysis result, includes:
monitoring a teaching process in real time, and extracting teaching information including teaching key points and difficulty points in the current teaching process;
obtaining student information including lecture suspicious points and difficult points respectively corresponding to different operation information of each student in each operation step in the current teaching process by referring to the obtained data analysis result;
and adjusting the corresponding teaching content and teaching duration in real time according to the acquired teaching information and student information.
Preferably, the adjusting the corresponding teaching content and the teaching duration in real time according to the acquired teaching information and student information includes:
comparing the teaching information with student information, and identifying whether teaching key points and difficult point contents in the teaching information are consistent with suspicious points and difficult point contents in the student information;
If the two are consistent, the teaching duration and the student exercise duration of the teaching contents corresponding to the teaching key points and the difficulty points are prolonged;
and if the two are not consistent, adjusting the teaching sequence and the teaching duration corresponding to the teaching information according to the suspicious points and the difficult point contents in the student information.
Based on the teaching control method based on data analysis provided by the above embodiment, the embodiment of the present invention further provides a storage medium, where a plurality of instructions are stored in the storage medium, and the instructions are suitable for being loaded by a processor and executing the teaching control method based on data analysis; the teaching control method based on data analysis comprises the following steps:
aiming at all the networked teaching systems, collecting student operation data, teacher operation data and real-time monitoring data corresponding to the whole teaching process in the teaching system with preset duration in a preset range;
performing data analysis on the collected operation data and the collected real-time monitoring data to obtain corresponding data analysis results;
and monitoring the teaching process in real time, and managing and controlling the teaching process according to the obtained data analysis result.
Preferably, the collecting, within a preset range, for all the networked teaching systems, the student operation data, teacher operation data and real-time monitoring data corresponding to the teaching systems for a preset duration includes:
Aiming at all the networked teaching systems in a preset range, according to a preset period, respectively acquiring the teaching systems comprising: the teacher unique identification code, the position of the teacher, the teaching time, the teaching content and the teacher operation data of the teaching progress;
and comprises: the unique identification code of the student, the position of the student, the programming qualification rate, the programming completion time, the operation steps, the operation content and the student operation data of the time length consumed for the students with preset percentage in the past to master the corresponding knowledge points;
and comprises: and (5) real-time monitoring data of student operation learning and teacher education teaching.
Preferably, the performing data analysis on the collected operation data and the real-time monitoring data to obtain a corresponding data analysis result includes:
according to a preset analysis rule, performing data analysis on all collected operation data and real-time monitoring data to obtain data analysis results corresponding to all the operation data and the real-time monitoring data;
or:
receiving a data analysis instruction triggered by a user, analyzing the data analysis instruction, and acquiring data to be analyzed and/or an analysis mode corresponding to the data analysis instruction;
extracting the data to be analyzed from the collected operation data and/or real-time monitoring data, and performing data analysis on the data to be analyzed according to a preset analysis rule or an analysis mode corresponding to the data analysis instruction to obtain a corresponding data analysis result.
Preferably, the performing data analysis on the collected operation data and the real-time monitoring data to obtain a corresponding data analysis result includes:
for each knowledge point, the time taken for students with a preset percentage in the past students to master the corresponding knowledge point is { Ti1, Ti2 … … Tin }, wherein i represents the serial number of the knowledge point, n represents different students, and then for the nth student, the difficulty coefficient Di of the ith knowledge point in the teaching is:
arranging the corresponding knowledge points according to the sequence from first to last according to the calculated difficulty coefficient Di of the corresponding knowledge points to obtain a difficulty queue of the knowledge points;
and selecting the knowledge points with preset names in the knowledge point difficulty queue as teaching key points and difficulty points according to real-time monitoring data.
Preferably, the real-time monitoring of the teaching process, the management and control of the teaching process according to the obtained data analysis result, includes:
monitoring a teaching process in real time, and extracting teaching information including teaching key points and difficulty points in the current teaching process;
obtaining student information including lecture suspicious points and difficult points respectively corresponding to different operation information of each student in each operation step in the current teaching process by referring to the obtained data analysis result;
And adjusting the corresponding teaching content and teaching duration in real time according to the acquired teaching information and student information.
Preferably, the adjusting the corresponding teaching content and the teaching duration in real time according to the acquired teaching information and student information includes:
comparing the teaching information with student information, and identifying whether teaching key points and difficult point contents in the teaching information are consistent with suspicious points and difficult point contents in the student information;
if the two are consistent, the teaching duration and the student exercise duration of the teaching contents corresponding to the teaching key points and the difficulty points are prolonged;
and if the two are not consistent, adjusting the teaching sequence and the teaching duration corresponding to the teaching information according to the suspicious points and the difficult point contents in the student information.
Based on the teaching management and control method based on data analysis and the storage medium provided by the above embodiments, the present invention further provides a server, where the server includes a storage medium, a processor, and a teaching management and control system based on data analysis, stored on the storage medium and operable on the processor, and when executed by the processor, the teaching management and control system based on data analysis implements the following steps:
Aiming at all the networked teaching systems, collecting student operation data, teacher operation data and real-time monitoring data corresponding to the whole teaching process in the teaching system with preset duration in a preset range;
performing data analysis on the collected operation data and the collected real-time monitoring data to obtain corresponding data analysis results;
and monitoring the teaching process in real time, and managing and controlling the teaching process according to the obtained data analysis result.
Preferably, the collecting, within a preset range, for all the networked teaching systems, the student operation data, teacher operation data and real-time monitoring data corresponding to the teaching systems for a preset duration includes:
aiming at all the networked teaching systems in a preset range, according to a preset period, respectively acquiring the teaching systems comprising: the teacher unique identification code, the position of the teacher, the teaching time, the teaching content and the teacher operation data of the teaching progress;
and comprises: the unique identification code of the student, the position of the student, the programming qualification rate, the programming completion time, the operation steps, the operation content and the student operation data of the time length consumed for the students with preset percentage in the past to master the corresponding knowledge points;
And comprises: and (5) real-time monitoring data of student operation learning and teacher education teaching.
Preferably, the collected operation data and the real-time monitoring data are subjected to data analysis to obtain corresponding data analysis results, and the processor is further configured to execute the teaching management and control system based on data analysis to implement the following steps:
according to a preset analysis rule, performing data analysis on all collected operation data and real-time monitoring data to obtain data analysis results corresponding to all the operation data and the real-time monitoring data;
or:
receiving a data analysis instruction triggered by a user, analyzing the data analysis instruction, and acquiring data to be analyzed and/or an analysis mode corresponding to the data analysis instruction;
extracting the data to be analyzed from the collected operation data and/or real-time monitoring data, and performing data analysis on the data to be analyzed according to a preset analysis rule or an analysis mode corresponding to the data analysis instruction to obtain a corresponding data analysis result.
Preferably, the collected operation data and the real-time monitoring data are subjected to data analysis to obtain corresponding data analysis results, and the processor is further configured to execute the teaching management and control system based on data analysis to implement the following steps:
For each knowledge point, the time taken for students with a preset percentage in the past students to master the corresponding knowledge point is { Ti1, Ti2 … … Tin }, wherein i represents the serial number of the knowledge point, n represents different students, and then for the nth student, the difficulty coefficient Di of the ith knowledge point in the teaching is:
arranging the corresponding knowledge points according to the sequence from first to last according to the calculated difficulty coefficient Di of the corresponding knowledge points to obtain a difficulty queue of the knowledge points;
and selecting the knowledge points with preset names in the knowledge point difficulty queue as teaching key points and difficulty points according to real-time monitoring data.
Preferably, the teaching process is monitored in real time, the teaching process is managed and controlled according to the obtained data analysis result, and the processor is further configured to execute the teaching management and control system based on data analysis, so as to implement the following steps:
monitoring a teaching process in real time, and extracting teaching information including teaching key points and difficulty points in the current teaching process;
obtaining student information including lecture suspicious points and difficult points respectively corresponding to different operation information of each student in each operation step in the current teaching process by referring to the obtained data analysis result;
And adjusting the corresponding teaching content and teaching duration in real time according to the acquired teaching information and student information.
Preferably, the corresponding teaching content and teaching duration are adjusted in real time according to the acquired teaching information and student information, and the processor is further configured to execute the teaching management and control system based on data analysis, so as to implement the following steps:
comparing the teaching information with student information, and identifying whether teaching key points and difficult point contents in the teaching information are consistent with suspicious points and difficult point contents in the student information;
if the two are consistent, the teaching duration and the student exercise duration of the teaching contents corresponding to the teaching key points and the difficulty points are prolonged;
and if the two are not consistent, adjusting the teaching sequence and the teaching duration corresponding to the teaching information according to the suspicious points and the difficult point contents in the student information.
The teaching control method, the storage medium and the server based on data analysis can achieve the following beneficial effects:
collecting student operation data, teacher operation data and real-time monitoring data corresponding to the whole teaching process in the education system with preset duration within a preset range by aiming at all networked teaching systems; performing data analysis on the collected operation data and the collected real-time monitoring data to obtain corresponding data analysis results; monitoring the teaching process in real time, and managing and controlling the teaching process according to the obtained data analysis result; the purpose of managing and controlling the teaching process through data analysis of student operation data, teacher operation data and monitoring data is achieved; the intelligence of teaching management and control and the efficiency of teaching management and control are improved, the human cost is saved, and the selectivity of teaching management and control is increased.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
The technical solution of the present invention is further described below by means of the accompanying drawings and examples.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
FIG. 1 is a schematic flow chart diagram of an embodiment of a teaching management and control method based on data analysis according to the present invention;
fig. 2 is a functional block diagram of an embodiment of a server according to the present invention.
Detailed Description
The preferred embodiments of the present invention will be described in conjunction with the accompanying drawings, and it will be understood that they are described herein for the purpose of illustration and explanation and not limitation.
The invention provides a teaching control method based on data analysis, a storage medium and a server, and aims to achieve the purpose of controlling a teaching process through data analysis of student operation data, teacher operation data and monitoring data. In a specific application scene, the teaching control method, the storage medium and the server based on data analysis use the internet and the internet of things, can collect data on the whole teaching simulation system and a corresponding operation panel, can also collect real-time monitoring data corresponding to the whole teaching process, can analyze the collected data in the teaching process to obtain corresponding student programming qualification rate, student operation content, student completion quality and the like, and can also analyze to obtain teaching quality, teaching progress and the like corresponding to a teacher. Based on a series of data analysis that above-mentioned corresponds, can manage and control etc. to each step of student's operation, reach the purpose of teaching management and control to the teaching process.
As shown in fig. 1, fig. 1 is a schematic flow chart of an embodiment of a teaching management and control method based on data analysis according to the present invention; the teaching management and control method based on data analysis can be implemented as steps S10-S30 as described below:
step S10, collecting student operation data, teacher operation data and real-time monitoring data corresponding to the whole teaching process in the education system with preset time length in a preset range aiming at all the networked teaching systems;
in the embodiment of the invention, a teaching control system based on data analysis (hereinafter referred to as a "teaching control system") can collect data in all networked teaching systems in a preset range; for example, in a specific application scenario, the teaching management and control system may collect data from all teaching simulation systems and data from the operation panel in the campus; or, the teaching management and control system may also collect only part of data on the teaching simulation system and the operation panel according to specific requirements, for example, only collect data on the teaching simulation system and the operation panel corresponding to the first grade of university and the second grade of university. The specific reference area of the preset range can be flexibly configured according to actual requirements, and the specific reference area of the preset range is not limited in the embodiment of the invention.
Similarly, when data acquisition is performed on all the networked teaching systems within the preset range, the corresponding acquisition time length, that is, the preset time length described in the embodiment of the present invention, may also be selected according to the requirement; the specific time length of the preset time length can be flexibly configured according to specific needs, and the specific time length of the preset time length is not limited in the embodiment of the invention.
Corresponding collected student operation data and teacher operation data are obtained by collecting corresponding data in all the networked teaching systems within a preset range within a preset time. In the embodiment of the invention, in order to control each operation step of a student and/or monitor the whole teaching process in real time, the teaching control system collects the student operation data and teacher operation data for the student and collects the real-time monitoring data corresponding to the whole teaching process.
In a preferred embodiment of the present invention, when the teaching management and control system collects the student data, the teacher operation data, and the real-time monitoring data, the respectively collecting the education systems according to a preset period for all the networked teaching systems within a preset range includes: teacher's operation data of the only identification code of teacher, teacher position, teaching time, teaching content and teaching progress to and include: the unique identification code of the student, the position of the student, the programming qualification rate, the programming completion time, the operation steps and the operation content, and the student operation data of the time length consumed for the students with preset percentage in the past to master the corresponding knowledge points; and comprises: and (5) real-time monitoring data of student operation learning and teacher education teaching.
Further, the collected teacher operation data can be stored according to the same teacher unique identification code; or storing the acquired data according to the same teacher position; or storing the acquired data according to the same unique student identification code; or storing the acquired data according to the same positions of the students; or, storing the collected data according to the real-time monitoring data corresponding to the operation and learning of students and the education and teaching of teachers corresponding to a certain class; or storing the collected student operation data and teacher operation data according to other storage modes which are convenient for data analysis. The storage manner described in the embodiment of the present invention is only for illustrating a possible storage manner of the acquired data, and cannot be used as a basis for limiting the storage manner of the data acquired by the teaching management and control system of the present invention.
Step S20, carrying out data analysis on the collected operation data and the collected real-time monitoring data to obtain corresponding data analysis results;
and aiming at the collected operation data (including student operation data and teacher operation data) and the real-time monitoring data, the teaching management and control system performs data analysis according to a corresponding analysis method to obtain a data analysis result corresponding to the operation data.
In a preferred embodiment of the present invention, the teaching management and control system may perform data analysis on the collected operation data and the real-time monitoring data according to the following data analysis method:
and according to a preset analysis rule, performing data analysis on all the collected operation data and real-time monitoring data to obtain data analysis results corresponding to all the operation data and the real-time monitoring data.
In the embodiment of the present invention, the preset analysis rule may be selected according to specific requirements corresponding to the collected specific operation data and the real-time monitoring data, and the specific analysis algorithm corresponding to the preset analysis rule is not limited in the embodiment of the present invention. In a preferred embodiment of the present invention, the teaching management and control system may perform data analysis on the collected student operation data, teacher operation data, and real-time monitoring data according to the following data analysis methods:
according to different operation objects of student operation data, teacher operation data and real-time monitoring data, performing data analysis on the collected student operation data, teacher operation data and real-time monitoring data;
or: performing data analysis on the collected student operation data, teacher operation data and real-time monitoring data according to the same time and the same position;
Or: according to the same teacher unique identification code, performing data analysis on the collected student operation data, teacher operation data and real-time monitoring data;
or: performing data on the collected student operation data, teacher operation data and real-time monitoring data according to the unique identification codes of the same students;
or: performing data analysis according to an operation instruction triggered by a user; for example, the teaching management and control system receives and analyzes a data analysis instruction triggered by a user, and acquires a data analysis rule corresponding to the data analysis instruction according to an analysis result; and performing data analysis on the collected student operation data, teacher operation data and real-time monitoring data according to the acquired data analysis rule.
In a preferred embodiment of the present invention, the teaching management and control system may perform data analysis on the collected student operation data, teacher operation data, and real-time monitoring data according to the following data analysis methods:
receiving a data analysis instruction triggered by a user, analyzing the data analysis instruction, and acquiring data to be analyzed and/or an analysis mode corresponding to the data analysis instruction;
extracting the data to be analyzed from the collected operation data, and performing data analysis on the data to be analyzed according to a preset analysis rule or an analysis mode corresponding to the data analysis instruction to obtain a corresponding data analysis result.
Through the data analysis result of teaching management and control system to the operational data who has gathered, teaching management and control system can derive: the program qualification rate analysis result, the completion time analysis result, the operation step analysis result, the operation content analysis result, the operation error rate analysis result, the completion quality analysis result and the like of the students, the teaching content analysis result, the teaching direction analysis result, the teaching quality analysis result, the teaching progress analysis result and the like of the teacher, the analysis result of real-time monitoring of each operation step and each teacher for each teaching doubt point and teaching difficulty point and the like of each student.
In a preferred embodiment of the present invention, the teaching management and control system may perform data analysis on the collected student operation data, teacher operation data, and real-time monitoring data according to the following data analysis methods:
for the whole teaching, for each knowledge point, the time taken for students with a preset percentage in the past students to master the corresponding ith knowledge point is { Ti1, Ti2 … … Tin }, wherein i represents the serial number of the knowledge point, n represents different students, and then for the nth student, the difficulty coefficient Di of the ith knowledge point in the teaching is as follows:
arranging the corresponding knowledge points according to the sequence from first to last according to the calculated difficulty coefficient Di of the corresponding knowledge points to obtain a difficulty queue of the knowledge points; and selecting the knowledge points with preset names in the knowledge point difficulty queue as teaching key points and difficulty points according to real-time monitoring data.
For example, for the nth student, the difficulty in the nth-1 should be similar to the difficulty in the nth student; the difficulty may be different for the n-2 nd or even earlier, so a is set to be greater than b to improve the influence of the n-1 st on the difficulty coefficient. In a specific application scenario, Di ranking can be referred to, and a teacher selects knowledge points with a top rank according to specific situations to perform explanation in a targeted manner, so that time waste in places where the current student is not difficult, especially for other students, but for the current student, the current student is a very simple knowledge point is avoided.
Aiming at individual teaching, as the qualification of each student varies from person to person, the teaching management and control system can also calculate the real difficulty and key point for each student according to the algorithm, give certain guidance and suggestion to the students and help the students to improve the quality quickly.
And step S30, monitoring the teaching process in real time, and managing and controlling the teaching process according to the obtained data analysis result.
In the embodiment of the invention, the teaching management and control system can monitor the operation information respectively corresponding to each student in each operation step and the teaching information respectively corresponding to each teacher in each teaching point in the real-time monitoring teaching process. According to the monitoring result, the teaching management and control system can manage and control each link in the teaching process by referring to the obtained data analysis result.
In a preferred embodiment of the present invention, the teaching management and control system monitors the teaching process in real time, manages and controls the teaching process according to the obtained data analysis result, and can be implemented in the following manner:
monitoring a teaching process in real time, and extracting teaching information including teaching key points and difficulty points in the current teaching process; obtaining student information including lecture suspicious points and difficult points respectively corresponding to different operation information of each student in each operation step in the current teaching process by referring to the obtained data analysis result; and adjusting the corresponding teaching content and teaching duration in real time according to the acquired teaching information and student information.
In the embodiment of the present invention, the described teaching information of the teaching key points and difficulties is pre-established by the educator (including a teacher) according to specific situations, and a person skilled in the art can understand that the teaching information of the teaching key points and difficulties can be continuously updated and adjusted according to the corresponding teaching situations and teaching directions, so that the embodiment of the present invention does not limit the specific contents of the teaching information of the teaching key points and difficulties.
Further, in a preferred embodiment of the present invention, the teaching control system adjusts the corresponding teaching content and teaching duration in real time according to the obtained teaching information and student information, and can be implemented in the following manner:
comparing the preset teaching information with the monitored student information corresponding to the actual operation, and identifying whether the teaching key point and the difficult point content in the teaching information are consistent with the suspicious point and the difficult point content in the student information; if the two are consistent, the teaching duration and the student exercise duration of the teaching contents corresponding to the teaching key points and the difficulty points are prolonged; and if the two are not consistent, adjusting the teaching sequence and the teaching duration corresponding to the teaching information according to the suspicious points and the difficult point contents in the student information. Namely, according to corresponding actual doubtful points and difficult point contents in the student information, the teaching sequence and the teaching duration of the teacher for the teaching information are adjusted by referring to the doubtful points and the difficult point contents in the preset teaching information.
In a specific application scenario of the present invention, for example, the teaching difficulty set by the teacher in advance is content a and the set teaching duration for content a is: increasing class a, identifying difficult content in the student information as B content according to the obtained student information in the actual operation, and setting the teaching time aiming at the B content as normal class according to the originally set teaching time; therefore, according to the current actual situation, the teaching management and control system adjusts the corresponding teaching content and teaching duration, for example, when the teaching duration of the content a is adjusted to be a normal class, the originally added class a is removed; and adjusting the teaching duration of the content B as follows: and according to the specific condition of the student information, aiming at the content B, the class time B is increased.
The invention relates to a teaching control method based on data analysis, which is characterized in that for all networked teaching systems, student operation data, teacher operation data and real-time monitoring data corresponding to the whole teaching process in the teaching system with preset duration are collected within a preset range; performing data analysis on the collected operation data and the collected real-time monitoring data to obtain corresponding data analysis results; monitoring the teaching process in real time, and managing and controlling the teaching process according to the obtained data analysis result; the purpose of managing and controlling the teaching process through data analysis of student operation data, teacher operation data and monitoring data is achieved; the intelligence of teaching management and control and the efficiency of teaching management and control are improved, the human cost is saved, and the selectivity of teaching management and control is increased.
Based on the teaching management and control method based on data analysis provided in the embodiment of fig. 1, the present invention further provides a storage medium, where the storage medium stores a plurality of instructions, and the instructions are suitable for being loaded by a processor and executing the teaching management and control method based on data analysis described in fig. 1; the teaching control method based on data analysis comprises the following steps:
aiming at all the networked teaching systems, collecting student operation data, teacher operation data and real-time monitoring data corresponding to the whole teaching process in the teaching system with preset duration in a preset range;
performing data analysis on the collected operation data and the collected real-time monitoring data to obtain corresponding data analysis results;
and monitoring the teaching process in real time, and managing and controlling the teaching process according to the obtained data analysis result.
In a preferred embodiment of the present invention, the acquiring, within a preset range, student operation data, teacher operation data and real-time monitoring data corresponding to the education system with a preset duration for all the networked teaching systems includes:
aiming at all the networked teaching systems in a preset range, according to a preset period, respectively acquiring the teaching systems comprising: the teacher unique identification code, the position of the teacher, the teaching time, the teaching content and the teacher operation data of the teaching progress;
And comprises: the unique identification code of the student, the position of the student, the programming qualification rate, the programming completion time, the operation steps, the operation content and the student operation data of the time length consumed for the students with preset percentage in the past to master the corresponding knowledge points;
and comprises: and (5) real-time monitoring data of student operation learning and teacher education teaching.
In a preferred embodiment of the present invention, the performing data analysis on the collected operation data and the collected real-time monitoring data to obtain a corresponding data analysis result includes:
according to a preset analysis rule, performing data analysis on all collected operation data and real-time monitoring data to obtain data analysis results corresponding to all the operation data and the real-time monitoring data;
or:
receiving a data analysis instruction triggered by a user, analyzing the data analysis instruction, and acquiring data to be analyzed and/or an analysis mode corresponding to the data analysis instruction;
extracting the data to be analyzed from the collected operation data and/or real-time monitoring data, and performing data analysis on the data to be analyzed according to a preset analysis rule or an analysis mode corresponding to the data analysis instruction to obtain a corresponding data analysis result.
In a preferred embodiment of the present invention, the performing data analysis on the collected operation data and the collected real-time monitoring data to obtain a corresponding data analysis result includes:
for each knowledge point, the time taken for students with a preset percentage in the past students to master the corresponding knowledge point is { Ti1, Ti2 … … Tin }, wherein i represents the serial number of the knowledge point, n represents different students, and then for the nth student, the difficulty coefficient Di of the ith knowledge point in the teaching is:
arranging the corresponding knowledge points according to the sequence from first to last according to the calculated difficulty coefficient Di of the corresponding knowledge points to obtain a difficulty queue of the knowledge points;
and selecting the knowledge points with preset names in the knowledge point difficulty queue as teaching key points and difficulty points according to real-time monitoring data.
In a preferred embodiment of the present invention, the monitoring a teaching process in real time, and managing and controlling the teaching process according to the obtained data analysis result includes:
monitoring a teaching process in real time, and extracting teaching information including teaching key points and difficulty points in the current teaching process;
obtaining student information including lecture suspicious points and difficult points respectively corresponding to different operation information of each student in each operation step in the current teaching process by referring to the obtained data analysis result;
And adjusting the corresponding teaching content and teaching duration in real time according to the acquired teaching information and student information.
In a preferred embodiment of the present invention, the adjusting, in real time, the corresponding teaching content and teaching duration according to the obtained teaching information and student information includes:
comparing the teaching information with student information, and identifying whether teaching key points and difficult point contents in the teaching information are consistent with suspicious points and difficult point contents in the student information;
if the two are consistent, the teaching duration and the student exercise duration of the teaching contents corresponding to the teaching key points and the difficulty points are prolonged;
and if the two are not consistent, adjusting the teaching sequence and the teaching duration corresponding to the teaching information according to the suspicious points and the difficult point contents in the student information.
The invention relates to a storage medium, which is suitable for being loaded by a processor and executing the following operations based on a plurality of stored instructions: aiming at all the networked teaching systems, collecting student operation data, teacher operation data and real-time monitoring data corresponding to the whole teaching process in the teaching system with preset duration in a preset range; performing data analysis on the collected operation data and the collected real-time monitoring data to obtain corresponding data analysis results; monitoring the teaching process in real time, and managing and controlling the teaching process according to the obtained data analysis result; the purpose of managing and controlling the teaching process through data analysis of student operation data, teacher operation data and monitoring data is achieved; the intelligence of teaching management and control and the efficiency of teaching management and control are improved, the human cost is saved, and the selectivity of teaching management and control is increased.
Based on the description of the above embodiment, as shown in fig. 2, the present invention further provides a server, where the server includes a storage medium 100, a processor 200, and a teaching management and control system 300 based on data analysis, stored on the storage medium 100 and executable on the processor 200, and when executed by the processor 200, the teaching management and control system 300 based on data analysis implements the following steps described in the embodiment of fig. 1:
aiming at all the networked teaching systems, collecting student operation data, teacher operation data and real-time monitoring data corresponding to the whole teaching process in the teaching system with preset duration in a preset range;
performing data analysis on the collected operation data and the collected real-time monitoring data to obtain corresponding data analysis results;
and monitoring the teaching process in real time, and managing and controlling the teaching process according to the obtained data analysis result.
In a preferred embodiment of the present invention, the acquiring, within a preset range, student operation data, teacher operation data and real-time monitoring data corresponding to the education system with a preset duration for all the networked teaching systems includes:
Aiming at all the networked teaching systems in a preset range, according to a preset period, respectively acquiring the teaching systems comprising: the teacher unique identification code, the position of the teacher, the teaching time, the teaching content and the teacher operation data of the teaching progress;
and comprises: the unique identification code of the student, the position of the student, the programming qualification rate, the programming completion time, the operation steps, the operation content and the student operation data of the time length consumed for the students with preset percentage in the past to master the corresponding knowledge points;
and comprises: and (5) real-time monitoring data of student operation learning and teacher education teaching.
In a preferred embodiment of the present invention, the performing data analysis on the collected operation data and the collected real-time monitoring data to obtain a corresponding data analysis result includes:
according to a preset analysis rule, performing data analysis on all collected operation data and real-time monitoring data to obtain data analysis results corresponding to all the operation data and the real-time monitoring data;
or:
receiving a data analysis instruction triggered by a user, analyzing the data analysis instruction, and acquiring data to be analyzed and/or an analysis mode corresponding to the data analysis instruction;
Extracting the data to be analyzed from the collected operation data and/or real-time monitoring data, and performing data analysis on the data to be analyzed according to a preset analysis rule or an analysis mode corresponding to the data analysis instruction to obtain a corresponding data analysis result.
In a preferred embodiment of the present invention, the performing data analysis on the collected operation data and the collected real-time monitoring data to obtain a corresponding data analysis result includes:
for each knowledge point, the time taken for students with a preset percentage in the past students to master the corresponding knowledge point is { Ti1, Ti2 … … Tin }, wherein i represents the serial number of the knowledge point, n represents different students, and then for the nth student, the difficulty coefficient Di of the ith knowledge point in the teaching is:
·
wherein a + b is 1 and a is greater than b;
arranging the corresponding knowledge points according to the sequence from first to last according to the calculated difficulty coefficient Di of the corresponding knowledge points to obtain a difficulty queue of the knowledge points;
and selecting the knowledge points with preset names in the knowledge point difficulty queue as teaching key points and difficulty points according to real-time monitoring data.
In a preferred embodiment of the present invention, the monitoring a teaching process in real time, and managing and controlling the teaching process according to the obtained data analysis result includes:
Monitoring a teaching process in real time, and extracting teaching information including teaching key points and difficulty points in the current teaching process;
obtaining student information including lecture suspicious points and difficult points respectively corresponding to different operation information of each student in each operation step in the current teaching process by referring to the obtained data analysis result;
and adjusting the corresponding teaching content and teaching duration in real time according to the acquired teaching information and student information.
In a preferred embodiment of the present invention, the adjusting, in real time, the corresponding teaching content and teaching duration according to the obtained teaching information and student information includes:
comparing the teaching information with student information, and identifying whether teaching key points and difficult point contents in the teaching information are consistent with suspicious points and difficult point contents in the student information;
if the two are consistent, the teaching duration and the student exercise duration of the teaching contents corresponding to the teaching key points and the difficulty points are prolonged;
and if the two are not consistent, adjusting the teaching sequence and the teaching duration corresponding to the teaching information according to the suspicious points and the difficult point contents in the student information.
The invention discloses a server, which comprises a storage medium, a processor and a teaching management and control system which is stored on the storage medium and can run on the processor based on data analysis; aiming at all the networked teaching systems, collecting student operation data, teacher operation data and real-time monitoring data corresponding to the whole teaching process in the teaching system with preset duration in a preset range; performing data analysis on the collected operation data and the collected real-time monitoring data to obtain corresponding data analysis results; monitoring the teaching process in real time, and managing and controlling the teaching process according to the obtained data analysis result; the purpose of managing and controlling the teaching process through data analysis of student operation data, teacher operation data and monitoring data is achieved; the intelligence of teaching management and control and the efficiency of teaching management and control are improved, the human cost is saved, and the selectivity of teaching management and control is increased.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (6)
1. The teaching control method based on data analysis is characterized by comprising the following steps of:
aiming at all the networked teaching systems, collecting student operation data, teacher operation data and real-time monitoring data corresponding to the whole teaching process in the education system with preset duration within a preset range;
performing data analysis on the collected operation data and the collected real-time monitoring data to obtain corresponding data analysis results;
Monitoring the teaching process in real time, and managing and controlling the teaching process according to the obtained data analysis result;
the real-time monitoring teaching process manages and controls the teaching process according to the obtained data analysis result, and comprises the following steps:
monitoring a teaching process in real time, and extracting teaching information including teaching key points and difficulty points in the current teaching process;
obtaining student information including lecture suspicious points and difficult points respectively corresponding to different operation information of each student in each operation step in the current teaching process by referring to the obtained data analysis result;
according to the obtained teaching information and student information, adjusting corresponding teaching content and teaching duration in real time;
according to the obtained teaching information and student information, the corresponding teaching content and teaching duration are adjusted in real time, and the method comprises the following steps:
comparing the teaching information with student information, and identifying whether teaching key points and difficult point contents in the teaching information are consistent with suspicious points and difficult point contents in the student information;
if the two are consistent, the teaching duration and the student exercise duration of the teaching contents corresponding to the teaching key points and the difficulty points are prolonged;
And if the two are not consistent, adjusting the teaching sequence and the teaching duration corresponding to the teaching information according to the suspicious points and the difficult point contents in the student information.
2. The teaching management and control method based on data analysis as claimed in claim 1, wherein the collecting, within a preset range, student operation data, teacher operation data and real-time monitoring data corresponding to the education system of a preset duration for all the networked teaching systems comprises:
aiming at all the networked teaching systems in a preset range, according to a preset period, respectively acquiring the teaching systems comprising: the teacher unique identification code, the position of the teacher, the teaching time, the teaching content and the teacher operation data of the teaching progress;
and comprises: the unique identification code of the student, the position of the student, the programming qualification rate, the programming completion time, the operation steps, the operation content and the student operation data of the time length consumed for the students with preset percentage in the past to master the corresponding knowledge points;
and comprises: real-time monitoring data of student operation learning and teacher education teaching;
or
The data analysis is performed on the collected operation data and the real-time monitoring data to obtain a corresponding data analysis result, and the data analysis method comprises the following steps:
According to a preset analysis rule, performing data analysis on all collected operation data and real-time monitoring data to obtain data analysis results corresponding to all the operation data and the real-time monitoring data;
or:
receiving a data analysis instruction triggered by a user, analyzing the data analysis instruction, and acquiring data to be analyzed and/or an analysis mode corresponding to the data analysis instruction;
extracting the data to be analyzed from the collected student operation data, teacher operation data and real-time monitoring data, and performing data analysis on the data to be analyzed according to a preset analysis rule or an analysis mode corresponding to the data analysis instruction to obtain a corresponding data analysis result.
3. The teaching management and control method based on data analysis of claim 1, wherein the data analysis of the collected operation data and real-time monitoring data to obtain corresponding data analysis results comprises:
for each knowledge point, the time taken for students with a preset percentage in the past students to master the corresponding knowledge point is { Ti1, Ti2 … … Tin }, wherein i represents the serial number of the knowledge point, n represents different students, and then for the nth student, the difficulty coefficient Di of the ith knowledge point in the teaching is:
arranging the corresponding knowledge points according to the sequence from first to last according to the calculated difficulty coefficient Di of the corresponding knowledge points to obtain a difficulty queue of the knowledge points;
and selecting the knowledge points with preset names in the knowledge point difficulty queue as teaching key points and difficulty points according to real-time monitoring data.
4. A storage medium storing a plurality of instructions, wherein the instructions are adapted to be loaded by a processor and to perform a teaching control method based on data analysis; the teaching control method based on data analysis comprises the following steps:
aiming at all the networked teaching systems, collecting student operation data, teacher operation data and real-time monitoring data corresponding to the whole teaching process in the education system with preset duration within a preset range;
performing data analysis on the collected operation data and the collected real-time monitoring data to obtain corresponding data analysis results;
monitoring the teaching process in real time, and managing and controlling the teaching process according to the obtained data analysis result;
The real-time monitoring teaching process manages and controls the teaching process according to the obtained data analysis result, and comprises the following steps:
monitoring a teaching process in real time, and extracting teaching information including teaching key points and difficulty points in the current teaching process;
obtaining student information including lecture suspicious points and difficult points respectively corresponding to different operation information of each student in each operation step in the current teaching process by referring to the obtained data analysis result;
according to the obtained teaching information and student information, adjusting corresponding teaching content and teaching duration in real time;
according to the obtained teaching information and student information, the corresponding teaching content and teaching duration are adjusted in real time, and the method comprises the following steps:
comparing the teaching information with student information, and identifying whether teaching key points and difficult point contents in the teaching information are consistent with suspicious points and difficult point contents in the student information;
if the two are consistent, the teaching duration and the student exercise duration of the teaching contents corresponding to the teaching key points and the difficulty points are prolonged;
and if the two are not consistent, adjusting the teaching sequence and the teaching duration corresponding to the teaching information according to the suspicious points and the difficult point contents in the student information.
5. A server, comprising a storage medium, a processor, and a data analysis-based tutorial management system stored on the storage medium and operable on the processor, wherein the data analysis-based tutorial management system, when executed by the processor, implements the steps of:
aiming at all the networked teaching systems, collecting student operation data, teacher operation data and real-time monitoring data corresponding to the whole teaching process in the education system with preset duration within a preset range;
performing data analysis on the collected operation data and the collected real-time monitoring data to obtain corresponding data analysis results;
monitoring the teaching process in real time, and managing and controlling the teaching process according to the obtained data analysis result;
or
The processor is further configured to execute the teaching management and control system based on data analysis to implement the following steps:
according to a preset analysis rule, performing data analysis on all collected operation data and real-time monitoring data to obtain data analysis results corresponding to all the operation data and the real-time monitoring data;
Or:
receiving a data analysis instruction triggered by a user, analyzing the data analysis instruction, and acquiring data to be analyzed and/or an analysis mode corresponding to the data analysis instruction;
extracting the data to be analyzed from the collected student operation data, teacher operation data and real-time monitoring data, and performing data analysis on the data to be analyzed according to a preset analysis rule or an analysis mode corresponding to the data analysis instruction to obtain a corresponding data analysis result;
the real-time monitoring teaching process manages and controls the teaching process according to the obtained data analysis result, and the processor is also used for executing the teaching management and control system based on data analysis so as to realize the following steps:
monitoring a teaching process in real time, and extracting teaching information including teaching key points and difficulty points in the current teaching process;
obtaining student information including lecture suspicious points and difficult points respectively corresponding to different operation information of each student in each operation step in the current teaching process by referring to the obtained data analysis result;
according to the obtained teaching information and student information, adjusting corresponding teaching content and teaching duration in real time;
The teaching management and control system comprises a processor, a data analysis module, a teaching management and control system and a data analysis module, wherein the processor is used for adjusting corresponding teaching contents and teaching duration in real time according to the acquired teaching information and student information, and is further used for executing the teaching management and control system based on the data analysis so as to realize the following steps:
comparing the teaching information with student information, and identifying whether teaching key points and difficult point contents in the teaching information are consistent with suspicious points and difficult point contents in the student information;
if the two are consistent, the teaching duration and the student exercise duration of the teaching contents corresponding to the teaching key points and the difficulty points are prolonged;
and if the two are not consistent, adjusting the teaching sequence and the teaching duration corresponding to the teaching information according to the suspicious points and the difficult point contents in the student information.
6. The server according to claim 5, wherein the data analysis is performed on the collected operation data and real-time monitoring data to obtain a corresponding data analysis result, and the processor is further configured to execute the teaching management and control system based on data analysis to implement the following steps:
for each knowledge point, the time taken for students with a preset percentage in the past students to master the corresponding knowledge point is { Ti1, Ti2 … … Tin }, wherein i represents the serial number of the knowledge point, n represents different students, and then for the nth student, the difficulty coefficient Di of the ith knowledge point in the teaching is:
arranging the corresponding knowledge points according to the sequence from first to last according to the calculated difficulty coefficient Di of the corresponding knowledge points to obtain a difficulty queue of the knowledge points;
and selecting the knowledge points with preset names in the knowledge point difficulty queue as teaching key points and difficulty points according to real-time monitoring data.
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