CN108520662B - Teaching feedback system based on knowledge point analysis - Google Patents
Teaching feedback system based on knowledge point analysis Download PDFInfo
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- CN108520662B CN108520662B CN201810368325.3A CN201810368325A CN108520662B CN 108520662 B CN108520662 B CN 108520662B CN 201810368325 A CN201810368325 A CN 201810368325A CN 108520662 B CN108520662 B CN 108520662B
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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
- G09B7/04—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 characterised by modifying the teaching programme in response to a wrong answer, e.g. repeating the question, supplying a further explanation
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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 teaching feedback system based on knowledge point analysis comprises an examination paper marking terminal, an examination paper marking terminal and a cloud database which are in communication connection with each other. The invention has the beneficial effects that: the invention has the beneficial effects that: the method provides the selected knowledge points for teachers, is suitable for students with different progresses and different learning levels, and enables the review report to be strong in pertinence and the statistics of error knowledge points to be more accurate: an annotation module is provided, so that a teacher can select annotations according to wrong questions of manual examination paper marking, and personalized suggestions are added to different students, so that the examination paper marking result given by the teacher is more humanized; the comment feedback module is arranged, subjectivity opinions are provided for a teacher to collect learning states and progress of students, and the teacher can master error knowledge points of the students more accurately and effectively.
Description
Technical Field
The invention relates to big data teaching application, in particular to a teaching feedback system based on knowledge point analysis.
Background
More automatic examination paper reading equipment is used for examination paper reading, examination paper reading and examination paper knowledge point analysis in the current big data teaching field, but the existing knowledge point analysis and examination paper reading equipment is single in standard and difficult to distinguish the mastery of students with different teaching progresses and teaching levels on knowledge points; the automatic examination paper reading is mostly distinguished by machine reading and manual examination paper reading, and the influence of the surface of the handwritten paper in the actual examination of the student is not distinguished independently, so that the score authenticity of the handwritten paper cannot be reflected.
For students, different knowledge planes and learning stages correspond to different knowledge points with different emphasis, and repeated use of invalid knowledge point information by students is easy to generate conflict psychology.
Meanwhile, the existing automatic marking display result is data integration, so that the paperwork subjects and discussion-type subject types cannot be effectively marked, and meanwhile, the display result only by the data integration lacks personalized care for students, so that the interactivity between the students and teachers is reduced.
Disclosure of Invention
The invention aims to solve the defects in the prior art and provides a teaching feedback system based on knowledge point analysis.
In order to achieve the purpose, the invention adopts the following technical scheme: a teaching feedback system based on knowledge point analysis comprises an examination paper reading terminal, an examination paper evaluation terminal and a cloud database which are in communication connection with each other, wherein the examination paper reading terminal comprises a first storage terminal, a classification database and a paper surface terminal, the classification database is in communication connection with the cloud database, the classification database comprises a preset classifier downloaded by the examination paper evaluation terminal, the preset classifier stores a preset examination paper knowledge point template, the first storage terminal stores a plurality of examination papers and test paper information of each examination paper, the test paper information of each examination paper comprises a test paper standard answer, a test paper serial number, a test paper score value, a test paper type and test paper knowledge point information, the paper surface terminal comprises a preprocessing system, a paper surface recognition system and an evaluation system, the evaluation system comprises a machine-reading evaluation system and a manual evaluation system, the cloud database comprises a test paper database, a student database and a teaching teacher database, the test question database sets up the problem bank according to subject and grade, the problem bank includes the test question knowledge point information of a plurality of test questions and every test question, student database establishes the student and archives according to student's study number and class number, teacher's database includes teacher's information and retrieval unit, teacher's information includes the subject of the course, the grade of the course and course progress, the examination paper terminal includes knowledge point terminal and grade analysis terminal, knowledge point terminal is connected with high in the clouds database, knowledge point terminal stores local problem bank, knowledge point terminal generates the preset test question knowledge point template through changing the test question knowledge point information of every test question, and send to the examination paper reading terminal, grade analysis terminal is used for analyzing each item and grading, the examination paper method includes:
s1, the teacher logs in the cloud database, carries out serial number classification labeling on class students with different progress and different learning levels, the labeling result is N type, and the labeling result and the student number are bound and sent to a grading system;
s2: the method comprises the steps that a teacher logs in a cloud database before examination paper marking, knowledge point information of each examination paper in a question bank is selected, the question bank memorizes selection results of preset examination paper, the selection results comprise a first selection result and a second selection result, the first selection result comprises the knowledge point information of the preset examination paper and corresponding student marks, the second selection result comprises the knowledge point information of the preset examination paper and corresponding examination paper numbers, the selection results are sent to a knowledge point terminal of an examination paper marking terminal, the knowledge point terminal receives the selection results, and a preset examination paper template is generated by combining with a local question bank;
s3: the examination paper reading terminal collects examination paper information and examination paper numbers, the examination paper information comprises student information, machine-readable examination paper information and manual examination paper information, the examination paper information and the examination paper numbers are sent to the classification database, the classification database extracts preset examination paper templates according to the examination paper numbers, and the preset examination paper templates and the examination paper information are bound and then sent to the paper surface terminal;
s4, the preprocessing system of the paper surface terminal receives the test paper information, processes the test paper information, records student information to corresponding machine-readable paper information and manual paper information in an encrypted manner, generates encrypted machine-readable paper information and encrypted manual paper information, sends the encrypted machine-readable paper information to the machine-readable scoring system, and sends the encrypted manual paper information to the manual scoring system;
s5, the machine-readable scoring system extracts the test question information of each test question in the encrypted machine-readable paper information, compares the test question information with the test question information in the first storage terminal, outputs the corresponding machine-readable score, records wrong question information, compares the wrong question information with a preset test question template, and records knowledge point information corresponding to the wrong question of the machine-readable paper;
the manual scoring system extracts the test question information of each test question in the encrypted manual paper information and a corresponding preset test question template to perform manual scoring, and records the input manual score and knowledge point information corresponding to wrong questions;
s6, matching the student information in the encrypted machine-readable paper and the encrypted manual paper, generating a comprehensive score according to the machine-readable score and the manual score, and generating error knowledge point information according to the knowledge point information corresponding to the machine-readable wrong questions and the knowledge point information corresponding to the manual reading wrong questions;
s7, generating an examination result report according to the comprehensive scores and the error knowledge point information, and storing the examination result report in a student database and a teacher database which are uploaded to a cloud database;
and S8, the grading analysis terminal extracts the data of the student database, generates a paper evaluation report by comparing the examination result report with the historical data, induces the problem quantity of the error knowledge point type and the comprehensive score change, and respectively sends the paper evaluation report to the student database and the teacher database for storage.
Preferably, the preset test question templates in S2 include a first preset test question template and a second preset test question template, the local question bank extracts knowledge points according to the first selection result to generate the first preset test question template, and the second selection result extracts knowledge points according to the knowledge points included in the first preset test question template to generate the second preset test question template.
Preferably, after the wrong-question information is recorded in S5, the scoring system identifies the student number information in the encrypted machine-readable paper information and the encrypted manual paper information, extracts the labeling result, and extracts the preset test question template according to the labeling result, where the preset test question template is the second preset test question template.
Preferably, in S4, the paper surface terminal receives the test paper information and then sends the test paper information to the paper surface recognition system, and the paper surface recognition system divides the test paper into electronic paper or paper according to the received test paper information format and sends the electronic paper and the paper to the preprocessing system.
Preferably, the teacher database is provided with a test question storage module, the test question storage module is bound with the teacher account, and the S2 further comprises a test question storage module for recording a preset test question template and storing the preset test question template in the corresponding teacher account after the selection result of the teacher preset test question is included.
Preferably, the test question knowledge point information in the test question database is stored according to the keywords and is numbered in sequence, in the step S2, the teacher generates a selection result of the preset test questions through the selection number, the cloud database sends the numbering result to the knowledge point terminal, and the local question database of the knowledge point terminal deletes the selected test question knowledge points through the identification number to generate the preset test question template.
Preferably, in S5, the knowledge point information corresponding to the wrong question is recorded by identifying a score ratio, where the score ratio is the input manual score/manual full-score, and when the score ratio is less than 1, the wrong question knowledge point selection module is activated, the preset test question template provides the wrong question knowledge points for manual selection, and the selection result is recorded to generate the knowledge point information corresponding to the manual paper-reading wrong question.
Preferably, the comment function is activated when the score ratio is less than 0.5, and the text comment is manually input and added to the test result report.
Preferably, the student database is provided with an annotation feedback module, and the annotation feedback module is used for recording manually input annotation feedback and sending the annotation feedback to the teacher database.
Preferably, the examination paper evaluation report extracts a knowledge point selection result of the examination paper and a historical examination result report of the same subject of the student by matching student information and examination paper information, screens out wrong knowledge points in the selection result, compares the type and the quantity change of the wrong knowledge points to generate wrong knowledge point type quantity summary, and integrates the grade change into the grade change of each module of the examination result, including the grade change of an artificial paper and the grade change of a machine-readable paper.
The invention has the beneficial effects that: 1. the method provides the selected knowledge points for teachers, is suitable for students with different progresses and different learning levels, and enables the review report to be strong in pertinence and the statistics of error knowledge points to be more accurate:
2. an annotation module is provided, so that a teacher can select annotations according to wrong questions of manual examination paper marking, and personalized suggestions are added to different students, so that the examination paper marking result given by the teacher is more humanized;
3. and the comment feedback module is arranged to provide subjective opinions for the teacher to collect the learning state and progress of the students.
Drawings
FIG. 1 is a schematic structural diagram of a review system of a teaching feedback system based on knowledge point analysis according to the present invention.
FIG. 2 is a flow chart of a review method of the teaching feedback system based on knowledge point analysis according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments.
Referring to fig. 1-2, a teaching feedback system based on knowledge point analysis comprises an examination paper reading terminal, an examination paper evaluation terminal and a cloud database which are in communication connection with each other, wherein the examination paper reading terminal comprises a first storage terminal, a classification database and a paper surface terminal, the classification database is in communication connection with the cloud database, the classification database comprises a preset classifier downloaded by the examination paper evaluation terminal, the preset classifier stores a preset examination paper knowledge point template, the first storage terminal stores a plurality of examination papers and test paper information of each examination paper, the test paper information of each examination paper comprises a test paper standard answer, a test paper serial number, a test paper score, an examination paper type and the examination paper knowledge point information, the paper surface terminal comprises a preprocessing system, a paper surface recognition system and an examination paper evaluation system, the evaluation system comprises a machine-readable evaluation system and an artificial evaluation system, and the cloud database comprises a computer-readable examination paper database and a cloud database, Student database and teacher's database, the problem database is established according to subject and grade in the test question database, the problem database includes the test question knowledge point information of a plurality of test questions and every test question, student database establishes the student and archives according to student's study number and class number, teacher's database includes teacher's information and retrieval unit, teacher's information includes the course subject, the course grade and course progress, the examination paper terminal includes knowledge point terminal and grade analysis terminal, knowledge point terminal is connected with the high in the clouds database, knowledge point terminal storage has local problem database, knowledge point terminal is through changing the test question knowledge point information generation of every test question and predetermineeing test question knowledge point template, and send to the examination paper terminal, grade analysis terminal is used for analyzing each item and grades, the examination paper method includes:
s1, the teacher logs in the cloud database, carries out serial number classification labeling on class students with different progress and different learning levels, the labeling result is N type, and the labeling result and the student number are bound and sent to a grading system;
s2: the method comprises the steps that a teacher logs in a cloud database before examination paper marking, knowledge point information of each examination paper in a question bank is selected, the question bank memorizes selection results of preset examination paper, the selection results comprise a first selection result and a second selection result, the first selection result comprises the knowledge point information of the preset examination paper and corresponding student marks, the second selection result comprises the knowledge point information of the preset examination paper and corresponding examination paper numbers, the selection results are sent to a knowledge point terminal of an examination paper marking terminal, the knowledge point terminal receives the selection results, and a preset examination paper template is generated by combining with a local question bank;
s3: the examination paper reading terminal collects examination paper information and examination paper numbers, the examination paper information comprises student information, machine-readable examination paper information and manual examination paper information, the examination paper information and the examination paper numbers are sent to the classification database, the classification database extracts preset examination paper templates according to the examination paper numbers, and the preset examination paper templates and the examination paper information are bound and then sent to the paper surface terminal;
s4, the preprocessing system of the paper surface terminal receives the test paper information, processes the test paper information, records student information to corresponding machine-readable paper information and manual paper information in an encrypted manner, generates encrypted machine-readable paper information and encrypted manual paper information, sends the encrypted machine-readable paper information to the machine-readable scoring system, and sends the encrypted manual paper information to the manual scoring system;
s5, the machine-readable scoring system extracts the test question information of each test question in the encrypted machine-readable paper information, compares the test question information with the test question information in the first storage terminal, outputs the corresponding machine-readable score, records wrong question information, compares the wrong question information with a preset test question template, and records knowledge point information corresponding to the wrong question of the machine-readable paper;
the manual scoring system extracts the test question information of each test question in the encrypted manual paper information and a corresponding preset test question template to perform manual scoring, and records the input manual score and knowledge point information corresponding to wrong questions;
s6, matching the student information in the encrypted machine-readable paper and the encrypted manual paper, generating a comprehensive score according to the machine-readable score and the manual score, and generating error knowledge point information according to the knowledge point information corresponding to the machine-readable wrong questions and the knowledge point information corresponding to the manual reading wrong questions;
s7, generating an examination result report according to the comprehensive scores and the error knowledge point information, and storing the examination result report in a student database and a teacher database which are uploaded to a cloud database;
and S8, the grading analysis terminal extracts the data of the student database, generates a paper evaluation report by comparing the examination result report with the historical data, induces the problem quantity of the error knowledge point type and the comprehensive score change, and respectively sends the paper evaluation report to the student database and the teacher database for storage. The data bases are respectively provided for students and teachers, knowledge point information is easier to manage and count, interaction between the students and the teachers is increased, and the analysis result of the knowledge points is more effective and accurate on the basis of data analysis.
Teachers know the individual knowledge point mastering conditions of the students according to the examination report, the teachers search the teacher database through the search unit to conduct knowledge point wrong question statistics, and the knowledge point wrong question statistics method comprises the following steps:
a1: inputting a knowledge point keyword and a retrieval range through a retrieval unit;
a2: the retrieval unit identifies the key words of the knowledge points through the fuzzy classifier, and counts the wrong question information of the knowledge points in the retrieval range, wherein the wrong question information of the knowledge points comprises the following steps: the number of wrong questions, the number of wrong persons, the ratio of wrong persons and a wrong question record change time table;
a3: and generating a knowledge point wrong question statistical table.
A teaching feedback system based on knowledge point analysis, wherein N is larger than 1.
A teaching feedback system based on knowledge point analysis is characterized in that a paper marking terminal, a paper marking terminal and a cloud database are logged in through intelligent equipment, and the intelligent equipment comprises a computer and mobile intelligent equipment.
The utility model provides a teaching feedback system based on knowledge point analysis, the system still includes voice module, and voice module includes speech input and speech output, and speech information is collected to smart machine's speech input equipment, and speech input discerns speech information and carries out each manual input operation, and speech output reports and retrieval result all kinds through smart machine's speech output equipment is reported, and it is more convenient, save time through speech operation teaching feedback system.
A teaching feedback system based on knowledge point analysis is characterized in that preset test question templates in S2 comprise a first preset test question template and a second preset test question template, a local question bank extracts knowledge points according to a first selection result to generate the first preset test question template, and a second selection result extracts knowledge points according to the knowledge points contained in the first preset test question template to generate the second preset test question template.
A teaching feedback system based on knowledge point analysis is characterized in that after wrong question information is recorded in S5, a scoring system identifies student number information in encrypted machine-readable paper information and encrypted manual paper information, extracts a labeling result, extracts a preset test question template according to the labeling result, and the preset test question template is a second preset test question template.
A teaching feedback system based on knowledge point analysis is characterized in that test paper numbers further comprise question bank numbers, when the test paper numbers collected by a paper reading terminal in S3 are not identified, the test paper numbers are recorded as blank numbers, the blank numbers are mapped to all test questions in a question bank, a preset test question template is a second preset test question template, when the contents of the test paper read by a teacher are students' homework, the questions are identified as the question bank through the blank numbers, homework test questions can be identified, and a wider student wrong question knowledge point collection channel is provided for the teacher.
A teaching feedback system based on knowledge point analysis is characterized in that a paper surface terminal in S4 receives test paper information and then sends the test paper information to a paper surface recognition system, the paper surface recognition system divides the test paper into electronic paper or paper according to the received test paper information format, and the electronic paper and the paper are sent to a preprocessing system.
The utility model provides a teaching feedback system based on knowledge point analysis, teacher ' S database is equipped with test question storage module, and test question storage module binds with teacher ' S account number, still includes in the S2 that the teacher predetermines the choice result of test question after, records and predetermines the test question template and stores the test question storage module under corresponding teacher ' S account number.
A teaching feedback system based on knowledge point analysis is characterized in that test question knowledge point information in a test question database is stored according to keywords and is sequentially numbered, a teacher generates a selection result of preset test questions through selection of the numbers in S2, a cloud database sends the number result to a knowledge point terminal, a local question bank of the knowledge point terminal deletes the selected test question knowledge points through identification numbers, and a preset test question template is generated.
In S5, knowledge point information corresponding to wrong questions is recorded by identifying a score ratio, wherein the score ratio is an input manual score/manual paper full score, a wrong question knowledge point selection module is activated when the score ratio is less than 1, wrong question knowledge points are provided by a preset test question template for manual selection, and a selection result is recorded to generate knowledge point information corresponding to manual paper reading wrong questions.
A teaching feedback system based on knowledge point analysis activates an annotation function when the score ratio is less than 0.5, and manually inputs a character annotation to add the annotation to an examination result report.
A teaching feedback system based on knowledge point analysis is characterized in that an annotation feedback module is arranged on a student database and used for recording annotation feedback input manually and sending the annotation feedback to a teacher database.
A teaching feedback system based on knowledge point analysis is characterized in that a paper evaluation report extracts a knowledge point selection result of a test paper and a historical examination result report of the same subject of a student by matching student information and test paper information, wrong knowledge points are screened out in the selection result, the type and the quantity change of the wrong knowledge points are compared, wrong knowledge point type quantity induction is generated, and comprehensive score change is the score change of each module of an examination result and comprises manual paper score change and machine-readable paper score change. The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention should be equivalent or changed within the scope of the present invention.
Claims (10)
1. A teaching feedback system based on knowledge point analysis comprises an examination paper reading terminal, an examination paper evaluation terminal and a cloud database which are in communication connection with each other, and is characterized in that the examination paper reading terminal comprises a first storage terminal, a classification database and a paper surface terminal, the classification database is in communication connection with the cloud database, the classification database comprises a preset classifier downloaded by the examination paper evaluation terminal and stores a preset examination paper knowledge point template, the first storage terminal stores a plurality of examination papers and test paper information of each examination paper, the test paper information of each examination paper comprises an examination paper standard answer, an examination paper serial number, an examination paper score, an examination paper type and examination paper knowledge point information, the paper surface terminal comprises a preprocessing system, a paper surface identification system and a cloud evaluation system, the grading system comprises a machine-reading grading system and an artificial grading system, the database comprises an examination paper database, a student database and a teaching teacher database, the test question database sets up the problem bank according to subject and grade, the problem bank includes the test question knowledge point information of a plurality of test questions and every test question, student database establishes the student and archives according to student's study number and class number, teacher's database includes teacher's information and retrieval unit, teacher's information includes the subject of the course, the grade of the course and course progress, the examination paper terminal includes knowledge point terminal and grade analysis terminal, knowledge point terminal is connected with high in the clouds database, knowledge point terminal stores local problem bank, knowledge point terminal generates the preset test question knowledge point template through changing the test question knowledge point information of every test question, and send to the examination paper reading terminal, grade analysis terminal is used for analyzing each item and grading, the examination paper method includes:
s1, the teacher logs in the cloud database, carries out serial number classification labeling on class students with different progress and different learning levels, the labeling result is N type, and the labeling result and the student number are bound and sent to a grading system;
s2: the method comprises the steps that a teacher logs in a cloud database before examination paper marking, knowledge point information of each examination paper in a question bank is selected, the question bank memorizes selection results of preset examination paper, the selection results comprise a first selection result and a second selection result, the first selection result comprises the knowledge point information of the preset examination paper and corresponding student marks, the second selection result comprises the knowledge point information of the preset examination paper and corresponding examination paper numbers, the selection results are sent to a knowledge point terminal of an examination paper marking terminal, the knowledge point terminal receives the selection results, and a preset examination paper template is generated by combining with a local question bank;
s3: the examination paper reading terminal collects examination paper information and examination paper numbers, the examination paper information comprises student information, machine-readable examination paper information and manual examination paper information, the examination paper information and the examination paper numbers are sent to the classification database, the classification database extracts preset examination paper templates according to the examination paper numbers, and the preset examination paper templates and the examination paper information are bound and then sent to the paper surface terminal;
s4, the preprocessing system of the paper surface terminal receives the test paper information, processes the test paper information, records student information to corresponding machine-readable paper information and manual paper information in an encrypted manner, generates encrypted machine-readable paper information and encrypted manual paper information, sends the encrypted machine-readable paper information to the machine-readable scoring system, and sends the encrypted manual paper information to the manual scoring system;
s5, the machine-readable scoring system extracts the test question information of each test question in the encrypted machine-readable paper information, compares the test question information with the test question information in the first storage terminal, outputs the corresponding machine-readable score, records wrong question information, compares the wrong question information with a preset test question template, and records knowledge point information corresponding to the wrong question of the machine-readable paper;
the manual scoring system extracts the test question information of each test question in the encrypted manual paper information and a corresponding preset test question template to perform manual scoring, and records the input manual score and knowledge point information corresponding to wrong questions;
s6, matching the student information in the encrypted machine-readable paper and the encrypted manual paper, generating a comprehensive score according to the machine-readable score and the manual score, and generating error knowledge point information according to the knowledge point information corresponding to the machine-readable wrong questions and the knowledge point information corresponding to the manual reading wrong questions;
s7, generating an examination result report according to the comprehensive scores and the error knowledge point information, and storing the examination result report in a student database and a teacher database which are uploaded to a cloud database;
and S8, the grading analysis terminal extracts the data of the student database, generates a paper evaluation report by comparing the examination result report with the historical data, induces the problem quantity of the error knowledge point type and the comprehensive score change, and respectively sends the paper evaluation report to the student database and the teacher database for storage.
2. The system of claim 1, wherein the preset test question templates in the step S2 include a first preset test question template and a second preset test question template, the local question bank extracts knowledge points according to the first selection result to generate the first preset test question template, and the second selection result extracts knowledge points according to the knowledge points included in the first preset test question template to generate the second preset test question template.
3. The teaching feedback system based on knowledge point analysis of claim 2, wherein after wrong question information is recorded in S5, the scoring system identifies student number information in the encrypted machine-readable paper information and the encrypted manual paper information, extracts a labeling result, extracts a preset test question template according to the labeling result, and the preset test question template is a second preset test question template.
4. The system of claim 1, wherein in step S4, the paper surface terminal receives the test paper information and sends the test paper information to the paper surface recognition system, and the paper surface recognition system divides the test paper into electronic paper or paper according to the format of the received test paper information and sends the electronic paper and paper to the preprocessing system.
5. The teaching feedback system based on knowledge point analysis as claimed in claim 1, wherein the teacher database is provided with a test question storage module, the test question storage module is bound with the teacher account, and after the selection result of the teacher preset test question is included in S2, the preset test question template is recorded and stored in the test question storage module corresponding to the teacher account.
6. The teaching feedback system based on knowledge point analysis of claim 1, wherein the knowledge point information of the test questions in the test question database is stored according to the keywords and is numbered in sequence, in step S2, the teacher generates the selection result of the preset test questions by selecting the numbers, the cloud database sends the numbering result to the knowledge point terminal, and the local question bank of the knowledge point terminal deletes the knowledge points of the test questions by the identification numbers to generate the preset test question template.
7. The system of claim 1, wherein in S5, the knowledge point information corresponding to the wrong questions is recorded by identifying a score ratio, where the score ratio is the input manual score/manual full score, and when the score ratio is less than 1, the wrong-question knowledge point selection module is activated, the preset test question template provides the wrong-question knowledge points for manual selection, and the selection result is recorded to generate the knowledge point information corresponding to the manual examination questions.
8. The system of claim 7, wherein the comment function is activated when the score ratio is less than 0.5, a text comment is manually entered, and the comment is added to the test result report.
9. The system of claim 8, wherein the student database is provided with an annotation feedback module for recording manually entered annotation feedback and sending the annotation feedback to the teacher database.
10. The system of claim 1, wherein the review report extracts the knowledge point selection result of the test paper and the historical test result report of the same subject of the student by matching the student information and the test paper information, screens out wrong knowledge points in the selection result, compares the type and the quantity change of the wrong knowledge points to generate a wrong knowledge point type quantity summary, and the comprehensive score change is the score change of each module of the test result, including the manual paper score change and the machine-readable paper score change.
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