CN110688480A - Real-time teaching evaluation method and system based on message - Google Patents
Real-time teaching evaluation method and system based on message Download PDFInfo
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- CN110688480A CN110688480A CN201910941549.3A CN201910941549A CN110688480A CN 110688480 A CN110688480 A CN 110688480A CN 201910941549 A CN201910941549 A CN 201910941549A CN 110688480 A CN110688480 A CN 110688480A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/34—Browsing; Visualisation therefor
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/35—Clustering; Classification
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/20—Education
- G06Q50/205—Education administration or guidance
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- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
- G09B7/00—Electrically-operated teaching apparatus or devices working with questions and answers
- G09B7/02—Electrically-operated teaching apparatus or devices working with questions and answers of the type wherein the student is expected to construct an answer to the question which is presented or wherein the machine gives an answer to the question presented by a student
Abstract
A real-time teaching evaluation system based on messages comprises a teaching platform, wherein the teaching platform is connected with an intelligent terminal, and students answer questions through the intelligent terminal and submit answer data to the teaching platform; the message system is in communication connection with the teaching platform and receives the answer data sent by the teaching platform; the analysis system is in communication connection with the message system, receives the answer data forwarded by the message system, takes the new answer data and the previous analysis result as input, analyzes the input data and generates the latest analysis result; and the database is in communication connection with the analysis system and the teaching platform respectively. Performing incremental analysis based on student homework answer records; based on the message system, the analysis result can be checked after the response is finished, and the real-time performance is high; the historical evaluation result is combined with the latest answer record, so that the algorithm efficiency is higher, and the evaluation result is more accurate; the evaluation dimensionality is more, statistics is more comprehensive, and multi-dimensionality evaluation is performed based on students, classes, courses, knowledge points, difficulty degrees of the knowledge points and the like.
Description
Technical Field
The invention relates to the technical field of teaching, in particular to a real-time teaching evaluation method and system based on messages.
Background
The general student learning evaluation algorithm takes the on-line answer data history of students as a data base, and classifies the results according to the incidence relation between test questions and knowledge points, so as to calculate the score of the knowledge points, and the grasping condition of the students on the knowledge points is evaluated through a fixed evaluation algorithm. In the prior art, response data is generally scanned at a fixed frequency, and the total response data (or the latest response data of students are screened) is used as input for analysis, so as to obtain a result.
If the full amount of data is used as input, a strong computer (cluster) is needed to complete the analysis of a large amount of data, and the analysis result is accurate in this way, but the input cost is high; if the latest (most recent) response data is used as input, although the corresponding cost is obviously lower, the accuracy of the result is also poor. Meanwhile, an analysis mechanism (scanning a database at a fixed frequency to detect whether new student response data exists or not, and if so, analyzing the new student response data) causes that the existing analysis mode cannot strictly ensure the real-time performance (the generation of an analysis result always depends on the scanning frequency of the database, the lower the frequency is, the higher the time delay is, and the worse the real-time performance is), and in addition, the full analysis aiming at large data or large-scale data comprises a series of stages of data cleaning, conversion, calculation and the like, and the real-time performance of the analysis mode is possibly lower.
Disclosure of Invention
In order to solve the problems, a real-time teaching evaluation method and a real-time teaching evaluation system based on messages are provided.
The object of the invention is achieved in the following way:
a real-time teaching assessment system based on message comprises
The teaching platform is connected with the intelligent terminal, and students answer questions through the intelligent terminal and submit answer data to the teaching platform;
the message system is in communication connection with the teaching platform and receives the answer data sent by the teaching platform;
the analysis system is in communication connection with the message system, receives the answer data forwarded by the message system, takes the new answer data and the previous analysis result as input, analyzes the input data and generates the latest analysis result;
the database comprises a teaching platform database, a teaching data database and an analysis historical database, stores the latest analysis results, and is respectively in communication connection with the analysis system and the teaching platform, the teaching platform acquires the latest analysis results in the database, and the analysis system acquires the data in the teaching database and the analysis historical database.
A real-time teaching assessment method based on messages comprises the following steps:
s1: the students answer the questions through the intelligent terminal, and the teaching platform acquires answer data of the intelligent terminal;
s2: the message system sends the answer data to the analysis system in real time, and the analysis system analyzes the collected answer data and the previous analysis result to generate the latest analysis result;
s3: the analysis system stores the latest analysis result in a database;
s4: and the teaching platform reads the database and displays the analysis result.
After receiving the student response result from the message system, the analysis system firstly carries out data aggregation, and specifically comprises the following steps:
acquiring knowledge points and related attributes of the knowledge points tested by student answering questions from a teaching data database, wherein the related attributes of the knowledge points comprise difficulty degrees and related abilities of the knowledge points in the test questions;
acquiring student information from a teaching platform database, wherein the student information comprises student account numbers, classes, grades and schools of students;
obtaining the last analysis result in the analysis historical database, comprising: based on the analysis result of the knowledge points of the students, the class statistical result, the course statistical result and the comprehensive capability evaluation result of the students and the classes;
from these data, the results were then calculated as follows:
according to the difficulty degree of the test questions, for a certain student, the accuracy of each knowledge point on the difficult, medium and easy test questions is classified and counted, and the comprehensive accuracy of the knowledge points is calculated on the basis;
calculating the mastery degree of the knowledge points according to the accuracy of the knowledge points, and grading according to the mastery degree, namely grading according to a threshold value of the accuracy of the knowledge points; performing aggregation calculation on the results of the knowledge points to obtain the mastery degree of each class;
according to the associated ability of each knowledge point, on the set ability initial value, adding a certain score to the corresponding ability initial value on each test question related to the ability; subtracting a certain score from the initial value of the corresponding ability every time a test question related to the ability is made by mistake; aggregating the accuracy of the knowledge points, and calculating to obtain the ability result of the student;
and respectively taking students, classes and courses as dimensions, and combining historical records to count the results to obtain statistical results.
A readable storage medium having stored thereon an executable program which, when executed by a processor, performs the steps of the method.
An electronic device, comprising:
a memory having an executable program stored thereon;
a processor for executing the executable program in the memory to implement the steps of any of the methods.
The invention has the beneficial effects that: performing incremental analysis based on student homework answer records;
based on the message system, the analysis result can be checked after the response is finished, and the real-time performance is high;
the historical evaluation result is combined with the latest answer record, so that the algorithm efficiency is higher, and the evaluation result is more accurate;
a memory-based stream computation mode is more efficient;
the evaluation dimensionality is more, statistics is more comprehensive, and multi-dimensionality evaluation is performed based on students, classes, courses, knowledge points, difficulty degrees of the knowledge points and the like.
Drawings
FIG. 1 is a schematic diagram of the architecture of the present invention.
Fig. 2 is a flow chart of the method of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and specific embodiments.
A real-time teaching assessment system based on message comprises
The teaching platform is connected with the intelligent terminal, and students answer questions through the intelligent terminal and submit answer data to the teaching platform;
the message system is in communication connection with the teaching platform and receives the answer data sent by the teaching platform;
the analysis system is in communication connection with the message system, receives the answer data forwarded by the message system, takes the new answer data and the previous analysis result as input, analyzes the input data and generates the latest analysis result;
the database comprises a teaching platform database, a teaching data database and an analysis historical database, stores the latest analysis results, and is respectively in communication connection with the analysis system and the teaching platform, the teaching platform acquires the latest analysis results in the database, and the analysis system acquires the data in the teaching database and the analysis historical database.
A real-time teaching assessment method based on messages comprises the following steps:
s1: the students answer the questions through the intelligent terminal, and the teaching platform acquires answer data of the intelligent terminal;
s2: the message system sends the answer data to the analysis system in real time, and the analysis system analyzes the collected answer data and the previous analysis result to generate the latest analysis result;
s3: the analysis system stores the latest analysis result in a database;
s4: and the teaching platform reads the database and displays the analysis result.
After receiving the student answering results from the message system, the analysis system firstly carries out data aggregation, and specifically comprises the following steps:
acquiring knowledge points tested by student answering questions and related attributes of the knowledge points (difficulty level and related abilities of the knowledge points in the questions, wherein the related abilities of the knowledge points comprise application consciousness ability, symbolic consciousness, numerical perception, geometric intuition, spatial concept, operational ability, data analysis concept, model thought, reasoning ability, innovation consciousness ability, application consciousness ability and the like) from a teaching data database;
acquiring student information from a teaching platform database, wherein the student information comprises student account numbers, classes, grades and schools of students;
obtaining the last analysis result in the analysis historical database, comprising: based on the analysis result of the knowledge points of the students, the class statistical result, the course statistical result and the comprehensive capability evaluation result of the students and the classes;
from these data, the results were then calculated as follows:
according to the difficulty degree of the test questions, for a certain student, the accuracy of each knowledge point on the difficult, medium and easy test questions is classified and counted, and the comprehensive accuracy of the knowledge points is calculated on the basis;
calculating the mastery degree of the knowledge points according to the accuracy of the knowledge points, and grading according to the mastery degree, namely grading according to a threshold value of the accuracy of the knowledge points; performing aggregation calculation on the results of the knowledge points to obtain the mastery degree of each class;
according to the associated ability of each knowledge point, on the set ability initial value, adding a certain score to the corresponding ability initial value on each test question related to the ability; subtracting a certain score from the initial value of the corresponding ability every time a test question related to the ability is made by mistake; aggregating the accuracy of the knowledge points, and calculating to obtain the ability result of the student;
and respectively taking students, classes and courses as dimensions, and combining historical records to count the results to obtain statistical results.
A readable storage medium having stored thereon an executable program, which when executed by a processor, performs the steps of the above method.
An electronic device, comprising:
a memory having an executable program stored thereon;
a processor for executing the executable program in the memory to implement the steps of the above method.
The messaging system is a message bus of the system for communicating various system messages. The teaching platform is a series of systems used for school teaching in the prior art, including but not limited to user management, resource system and question bank system; the intelligent terminal is the touch screen flat board and supporting APP that the answer was used on class of student among the prior art.
All data (including classroom exercise, post-session work, autonomous training and the like) are brought into an analysis range, and the accuracy of an analysis result is improved.
And generating reports based on different dimensions such as knowledge points, abilities, students, classes and the like, and facilitating comparison.
And self-adaptive score-improving training and wrong-question correction exercise is generated based on the analysis result, so that the students can conveniently carry out targeted training.
The foregoing is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, various changes and modifications can be made without departing from the overall concept of the present invention, and these should also be considered as the protection scope of the present invention.
Claims (5)
1. A real-time teaching evaluation system based on messages is characterized in that: comprises that
The teaching platform is connected with the intelligent terminal, and students answer questions through the intelligent terminal and submit answer data to the teaching platform;
the message system is in communication connection with the teaching platform and receives the answer data sent by the teaching platform;
the analysis system is in communication connection with the message system, receives the answer data forwarded by the message system, takes the new answer data and the previous analysis result as input, analyzes the input data and generates the latest analysis result;
the database comprises a teaching platform database, a teaching data database and an analysis historical database, stores the latest analysis results, and is respectively in communication connection with the analysis system and the teaching platform, the teaching platform acquires the latest analysis results in the database, and the analysis system acquires the data in the teaching database and the analysis historical database.
2. A real-time teaching assessment method based on messages is characterized in that: the method comprises the following steps:
s1: the students answer the questions through the intelligent terminal, and the teaching platform acquires answer data of the intelligent terminal;
s2: the message system sends the answer data to the analysis system in real time, and the analysis system analyzes the collected answer data and the previous analysis result to generate the latest analysis result;
s3: the analysis system stores the latest analysis result in a database;
s4: and the teaching platform reads the database and displays the analysis result.
3. The message system based real-time teaching assessment method of claim 2, characterized in that: after receiving the student response result from the message system, the analysis system firstly carries out data aggregation, and specifically comprises the following steps:
acquiring knowledge points and related attributes of the knowledge points tested by student answering questions from a teaching data database, wherein the related attributes of the knowledge points comprise difficulty degrees and related abilities of the knowledge points in the test questions;
acquiring student information from a teaching platform database, wherein the student information comprises student account numbers, classes, grades and schools of students;
obtaining the last analysis result in the analysis historical database, comprising: based on the analysis result of the knowledge points of the students, the class statistical result, the course statistical result and the comprehensive capability evaluation result of the students and the classes;
from these data, the results were then calculated as follows:
according to the difficulty degree of the test questions, for a certain student, the accuracy of each knowledge point on the difficult, medium and easy test questions is classified and counted, and the comprehensive accuracy of the knowledge points is calculated on the basis;
calculating the mastery degree of the knowledge points according to the accuracy of the knowledge points, and grading according to the mastery degree, namely grading according to a threshold value of the accuracy of the knowledge points; performing aggregation calculation on the results of the knowledge points to obtain the mastery degree of each class;
according to the associated ability of each knowledge point, on the set ability initial value, adding a certain score to the corresponding ability initial value on each test question related to the ability; subtracting a certain score from the initial value of the corresponding ability every time a test question related to the ability is made by mistake; aggregating the accuracy of the knowledge points, and calculating to obtain the ability result of the student;
and respectively taking students, classes and courses as dimensions, and combining historical records to count the results to obtain statistical results.
4. A readable storage medium having stored thereon an executable program, wherein the executable program, when executed by a processor, performs the steps of the method of any of claims 2-3.
5. An electronic device, comprising:
a memory having an executable program stored thereon;
a processor for executing the executable program in the memory to implement the steps of the method of any of claims 2-3.
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