CN113971622A - Accurate teaching system based on big data - Google Patents
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Abstract
The invention discloses an accurate teaching system based on big data, which relates to the field of teaching management systems and aims to solve the problem that the targeted tutoring is difficult to provide for students at present, and the invention provides the following technical scheme, wherein the system comprises a teacher terminal, a student terminal and a server, and the server comprises: the teaching resource cloud platform is used for storing teaching resources, teaching data of teachers and learning data of students, and the teaching resources at least comprise one or more of courseware, question banks and videos; the big data analysis system is used for receiving and analyzing the learning data of the students and further generating corresponding analysis reports; the teacher teaching system is used for a teacher to make a teaching plan based on the analysis report; and the student learning system is used for the students to carry out targeted exercise based on the analysis report.
Description
Technical Field
The invention relates to the field of teaching management systems, in particular to an accurate teaching system based on big data.
Background
At present, in order to effectively acquire the mastering condition of knowledge points of students on class and provide targeted tutoring for the students, a teacher often adopts correction homework or a test paper to learn, but the weak points of the students are counted through the correction homework or the test paper, so that time and labor are not wasted, and the effect is not good.
With the rapid development of computer technology and internet communication technology in recent years, online teaching resources gradually become a development trend, but most of the existing teaching systems only realize online classroom teaching of teachers and students and online teacher arrangement work through teaching systems, and although the teaching systems improve the teaching efficiency of teachers to a certain extent, the teaching systems are still not enough to accurately know the knowledge points mastered by students, and further cannot make explanation on the deficiencies and weak links of students in a targeted manner.
Disclosure of Invention
The invention mainly aims to provide an accurate teaching system based on big data, and aims to solve the problem that it is difficult to provide targeted tutoring for students at present.
In order to achieve the above object, the accurate teaching system based on big data provided by the present invention comprises a teacher terminal, a student terminal and a server, wherein the server comprises:
the teaching resource cloud platform is used for storing teaching resources, teaching data of teachers and learning data of students, and the teaching resources at least comprise one or more of courseware, question banks and videos;
the big data analysis system is used for receiving and analyzing the learning data of the students and further generating corresponding analysis reports;
the teacher teaching system is used for a teacher to make a teaching plan based on the analysis report;
and the student learning system is used for the students to carry out targeted exercise based on the analysis report.
In an embodiment of the present application, the big data analysis system includes:
the acquisition module is used for acquiring the learning data of students in the student learning system;
the classification module is used for classifying the students and/or the learning data of the students according to a preset classification rule;
the analysis module is used for respectively analyzing the learning data corresponding to the classification result of the classification module according to a preset analysis rule;
and the output module is used for outputting a corresponding analysis report according to the analysis result of the analysis module.
In an embodiment of the present application, the analysis report includes at least one or more of a school analysis report, a grade analysis report, a class analysis report, a personal analysis report, a pre-study analysis report, a job analysis report, and a test paper analysis report.
In an embodiment of the present application, the teacher teaching module includes at least:
the online lesson preparation module is used for preparing lessons according to the teaching resources in the teaching resource cloud platform and/or the self-made teaching resources;
the preview arrangement module is used for arranging preview tasks and viewing corresponding preview analysis reports;
the classroom reviewing module is used for reviewing classroom related information, wherein the classroom related information at least comprises one or more of student attendance information, in-class blackboard writing information, classroom exercise conditions and group learning conditions;
and the operation arrangement module is used for arranging operation in a preset group range according to the teaching resources and/or self-made teaching resources in the teaching resource cloud platform and aiming at the analysis report, and is used for viewing the operation analysis report.
In an embodiment of the present application, the teacher teaching system further includes an autonomous paper composition module, the autonomous paper composition module is configured to prepare the test paper according to preset paper composition rules, and the preset paper composition rules include one or more of manual paper composition, knowledge point paper composition, and vulnerability paper composition.
In an embodiment of the present application, the teacher teaching module further includes a correction module, the correction module further includes a manual correction module and an automatic correction module, and the manual correction module is used for a teacher to correct subjective questions; the automatic correcting module is used for automatically correcting the objective questions.
In one embodiment of the present application, the student learning system includes at least:
the pre-lesson pre-learning module is used for enabling students to complete pre-learning tasks arranged by teachers;
the post-lesson homework module is used for the students to complete the post-lesson homework arranged by the teachers;
the analysis module is used for analyzing the pre-study tasks, post-course assignments and examination papers of the students and automatically generating wrong question sets of the students;
and the tutoring module is used for acquiring the corresponding analysis report and pushing related learning resources according to the corresponding analysis report, wherein the learning resources at least comprise one or more of courseware, videos and test questions.
In an embodiment of the application, the server further comprises an in-class interactive system, the in-class interactive system comprises a plurality of auxiliary tools, and the auxiliary tools at least comprise one or more of broadcasting, screen throwing, screen control, sign-in, screen capturing, painting brush, answering and recording.
In an embodiment of the application, the server further comprises a classroom management and control system, the classroom management and control system is used for managing and controlling teaching equipment in a classroom, and the teaching equipment at least comprises a plurality of student terminals and a scanner.
In an embodiment of the present application, accurate teaching system based on big data still includes the head of a family terminal, the head of a family terminal is used for corresponding student's terminal monitors to and be used for acquireing corresponding analysis report.
In conclusion, the invention has the following beneficial effects:
1. the accurate teaching system based on big data records the learning data of students and the teaching data of teachers in real time, realizes the multi-dimensional acquisition of data and ensures the real-time performance of the data;
2. teaching resources are stored through a teaching resource cloud platform, so that the purpose of teaching resource sharing is achieved; a teacher can prepare courses, assemble books and arrange the operation according to the teaching resources in the teaching resource cloud platform and/or self-made teaching resources, and the teaching quality can be improved to a certain extent;
3. the students and/or the learning data of the students are classified according to preset classification rules, so that the purpose of analyzing the learning effect of the students from multiple dimensions is achieved;
4. the big data analysis system analyzes the learning data of the students in a multi-dimensional way and generates corresponding analysis reports, which is helpful for teachers, parents and students to quickly obtain accurate learning conditions of the students, so that corresponding tutoring can be provided for the students in a targeted way;
5. the test paper is prepared according to the preset paper-making rule, so that the paper-making efficiency of teachers is improved;
6. by setting the in-class interaction system, direct interaction of students and teachers in a classroom is realized, and recording of interaction links is realized, so that the teachers can review the classroom conveniently to adjust teaching plans and the students can review the classroom conveniently to check defects and make up for leaks;
7. through the parent terminal corresponding the student terminal monitors and obtains corresponding analysis report, the parent of being convenient for in time learns student's study condition to further provide corresponding guidance for the student.
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In order to more clearly illustrate embodiments of the present invention or technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only exemplary embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the structures shown in the drawings without inventive effort, wherein:
FIG. 1 is a block diagram of a big data-based precision teaching system according to an embodiment of the present invention;
FIG. 2 is an interface diagram of an online lesson preparation module of the precision teaching system based on big data according to the embodiment of the present invention;
FIG. 3 is an interface diagram of a preview layout module of the big data-based precision teaching system according to the embodiment of the present invention;
FIG. 4 is an interface diagram of a classroom review module of the precision teaching system based on big data according to the embodiment of the present invention;
FIG. 5 is an interface diagram of a task placement module of the big data based precision teaching system according to the embodiment of the present invention;
FIG. 6 is an interface diagram of an autonomous volume-forming module of the precision teaching system based on big data according to the embodiment of the present invention;
fig. 7 is an interface diagram of an examination management module of the precision teaching system based on big data according to the embodiment of the present invention;
FIG. 8 is an interface diagram of a correction module of the big data based precision teaching system according to the embodiment of the present invention;
FIG. 9 is an interface diagram of a top page of a school analysis report for a precision teaching system based on big data, according to an embodiment of the present invention;
fig. 10 is an interface diagram of a transcript report in a grade analysis report of the big data-based precision teaching system according to the embodiment of the present invention;
FIG. 11 is an interface diagram of a score grading report in a grade analysis report of a big data based precision teaching system according to an embodiment of the present invention;
FIG. 12 is an interface diagram of a rank grading report in a grade analysis report of a big data based precision teaching system according to an embodiment of the present invention;
FIG. 13 is an interface diagram of a checkbox page in a class analysis report of the big data based precision teaching system of an embodiment of the present invention;
FIG. 14 is an interface diagram of the wave student and critical student reports in the class analysis report of the big data based precision teaching system according to the embodiment of the present invention;
FIG. 15 is an interface diagram of a test paper analysis report in a class analysis report of a precision teaching system based on big data according to an embodiment of the present invention;
FIG. 16 is an interface diagram of a transcript report in a personal analysis report of the precision tutoring system based on big data in accordance with an embodiment of the present invention;
FIG. 17 is an interface diagram of a weak knowledge points report in a personal analysis report of a big data based precision teaching system according to an embodiment of the present invention;
FIG. 18 is an interface diagram of a test paper analysis report of the big data based precision teaching system according to the embodiment of the present invention;
fig. 19 is an interface diagram of an in-class interaction system of the precision teaching system based on big data according to the embodiment of 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 accompanying drawings, and it is obvious that the described embodiments are only exemplary embodiments of the present invention, and not exclusive embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1, the precision teaching system based on big data provided by the present invention includes a server, a teacher terminal, a student terminal, and a parent terminal. The teacher terminal, the student terminal and the parent terminal can be tablet computers, interactive whiteboards, PCs and smart phones in the prior art. The teacher terminal is used for teachers to carry out daily teaching work, the student terminals are used for students to carry out daily study, and the parent terminals are used for monitoring corresponding student terminals.
The server comprises a teaching resource cloud platform, an in-class interaction system, a teacher teaching system, a student learning system, a classroom management and control system and a big data analysis system.
The teaching resource cloud platform is used for storing teaching resources, teaching data of teachers and learning data of students. Teaching resources include courseware, question banks, videos, and other teaching-related materials. And the teacher can upload self-made teaching resources to the teaching resource cloud platform for reference of other teachers.
As shown in fig. 2-8, the teacher teaching system includes an online lesson preparation module, a pre-study arrangement module, a classroom review module, a job arrangement module, an autonomous examination paper composition module, an examination management module, and an approval module. And the online lesson preparation module is used for preparing lessons according to the teaching resources in the teaching resource cloud platform and/or the self-made teaching resources. The pre-study arrangement module is used for arranging pre-study tasks and checking pre-study analysis reports of students, and specifically the pre-study tasks comprise checking pre-study videos and courseware and completing corresponding exercises; the pre-study analysis report comprises the completion rate of the exercises, the score of each student, high-frequency wrong exercises and the like; the teacher can also issue an explanation video or an explanation of the focus question according to the learning effect of the students, for example, issue a related explanation video or an explanation for a question with low accuracy, and also issue the answering process of an excellent student for reference of other students. The classroom reviewing module is used for teachers to review classroom related information, wherein the classroom related information comprises student attendance information, in-class blackboard-writing information and classroom exercise conditions; specifically, the classroom review module acquires relevant information of interaction in classes, including attendance information, writing information of a teacher on a courseware through a handwriting control of a teacher terminal, the situation of classroom exercise completion of students, the study situation of a group and the like, so that the teacher can adjust a teaching plan and review classroom performance of the students based on the interaction situation in the classes. The homework arrangement module is used for arranging homework in a preset group range according to teaching resources and/or self-made teaching resources in the teaching resource cloud platform and viewing a student homework analysis report; the preset group range can be a certain grade, a certain class, a certain group or a certain student; the homework analysis report comprises homework submission conditions, homework reading conditions, score of knowledge points, score of each student, high-frequency wrong questions and the like. The self-contained paper-composing module is used for preparing test paper according to a preset paper-composing rule, the preset paper-composing rule comprises one or more of a manual paper-composing rule, a knowledge point paper-composing rule, a weak point paper-composing rule and a chapter paper-composing rule, specifically, the manual paper-composing rule is used for a teacher to prepare test paper according to teaching resources in a teaching resource cloud platform and/or self-made teaching resources, the knowledge point paper-composing rule is used for the self-contained paper-composing module to extract test questions in the teaching resource cloud platform according to knowledge points and automatically generate related test paper, the weak point paper-composing rule is used for the self-contained paper-composing module to extract test questions in the teaching resource cloud platform according to weak points in corresponding analysis reports and automatically generate related test paper, the chapter paper-composing module to extract test questions in the teaching resource cloud platform according to corresponding chapters and automatically generate related test paper, the teacher can select one paper-composing rule to compose the test paper, or can simultaneously select the knowledge point paper-composing rule or the weak point paper-composing rule to automatically compose the test paper, and then perform the manual paper-composing rule And (4) dynamic adjustment. The examination management module is used for managing the test paper by the teacher, and particularly used for establishing the examination and uploading the test paper prepared by the main paper-composing module, the answer sheet template corresponding to the test paper and the standard answer of the objective question. The correction module further comprises a manual correction module and an automatic correction module, and the manual correction module is used for a teacher to correct subjective questions; the automatic correcting module is used for automatically correcting the objective questions; specifically, when the job or the test paper to be corrected is a paper material, the paper material is scanned by a scanner, and the answer sheet template is matched with a scanned piece of the paper material, such as a positioning point or a two-dimensional code in the paper material of the recognition job or the test paper in the prior art, so that the paper material of the job or the test paper is segmented, and the purposes of automatically correcting the objective questions according to the standard answers of the objective questions uploaded in advance and manually correcting the main questions by teachers on line are achieved.
The student learning system at least comprises a pre-class pre-study module, a post-class work module, an analysis module and a tutoring module. The pre-lesson pre-learning module is used for students to complete pre-learning tasks arranged by teachers. The post-lesson assignment module is used for students to complete post-lesson assignments arranged by teachers. The analysis module is used for analyzing the pre-study tasks, post-course assignments and examination papers of the students and automatically generating wrong question sets of the students. The tutoring module is used for obtaining a corresponding analysis report and pushing related learning resources according to the corresponding analysis report, wherein the learning resources at least comprise one or more of courseware, videos and practice problems.
The big data analysis system sequentially comprises an acquisition module, a classification module, an analysis module and an output module. The acquisition module is used for acquiring the learning data of students in the student learning system. The classification module is used for classifying students and/or learning data of the students according to preset classification rules, wherein the preset classification rules can be classified according to types of the students, such as schools, grades and classes, and can also be classified according to the learning data of the students, such as subjects, knowledge points and question types. The analysis module is used for analyzing the learning data corresponding to the classification result of the classification module according to preset analysis rules, and the preset analysis rules can be used for counting the number of students in a preset fraction section, counting the number of students in each level, namely, the number of students in the spine, the number of students in the midlife and the number of students in the back, counting the score of each question of the test paper corresponding to each class, analyzing the examination conditions and the like. The output module is used for outputting corresponding analysis reports according to the analysis results of the analysis module, and the analysis reports at least comprise one or more of school analysis reports, grade analysis reports, class analysis reports, personal analysis reports, preview analysis reports, job analysis reports and test paper analysis reports.
For example, as shown in fig. 9, the school analysis report at least includes a home page for teachers or instructors to clearly and intuitively check the school condition and a score sheet report corresponding to each student, the home page at least includes subject weak conditions, weak knowledge points, student hierarchy distribution and latest learning situation analysis, and the school analysis report is provided with the home page, so that teachers or instructors can quickly know the overall condition of the students in the school, and the students can quickly obtain information concerned by the students through the home page; as shown in fig. 10-12, the grade analysis report at least includes a score report and a score grading report of each shift, that is, a report of counting the number of students in a preset score segment and ranking grading; as shown in fig. 13-15, the class analysis report at least includes a first page for the teacher to clearly and visually check the school condition, a ranking report of the class, a wave student and/or critical student report, and a test paper analysis report, the test paper analysis report further includes a test question report to be concerned, and the first page is set in the class analysis report, so that the teacher can quickly know the overall condition of the students of the class, and can conveniently and quickly obtain the information concerned by the students through the first page; as shown in fig. 16-17, the personal analysis report includes at least a transcript report, an error set, and a weak knowledge point report; as shown in fig. 18, the test paper analysis report is used for analyzing the test paper according to the test paper information of all the referees, and the test paper analysis report at least includes the test question score rate conditions of class comparison and student comparison, the difficulty of the test paper and the reliability of the test paper.
As shown in fig. 19, the in-class interactive system is used for realizing the interaction between the teacher end, the student end and the teaching equipment, and the in-class interactive system includes a plurality of auxiliary tools, and the auxiliary tools include broadcasting, screen projection, screen control, student demonstration, screen capture, recording, painting brush, drawing board, magnifying glass, spotlight, sign-in, answer, screen extraction, screen locking, shutdown and test.
The classroom management and control system is used for managing and controlling teaching equipment in a classroom, the teaching equipment comprises a plurality of student terminals, a scanner, an electronic whiteboard and a router, the scanner is used for teachers or students to scan homework and test paper, and the router is used for connecting the plurality of student terminals with the big data-based accurate teaching system.
The accurate teaching system based on big data is used for teaching, so that a teacher and students can both perform teaching and learning in a unified classroom, and can also combine students in a plurality of classrooms to perform learning, and can also perform teaching on lines.
The above is only a preferred embodiment of the present invention, and the protection scope of the present invention is not limited to the above-mentioned embodiments, and all technical solutions belonging to the idea of the present invention belong to the protection scope of the present invention. It should be noted that modifications and embellishments within the scope of the present invention may be made by those skilled in the art without departing from the principle of the present invention, and such modifications and embellishments should also be considered as within the scope of the present invention.
Claims (10)
1. The utility model provides an accurate teaching system based on big data, its characterized in that includes teacher's terminal, student's terminal and server, the server includes:
the teaching resource cloud platform is used for storing teaching resources, teaching data of teachers and learning data of students, and the teaching resources at least comprise one or more of courseware, question banks and videos;
the big data analysis system is used for receiving and analyzing the learning data of the students and further generating corresponding analysis reports;
the teacher teaching system is used for a teacher to make a teaching plan based on the analysis report;
and the student learning system is used for the students to carry out targeted exercise based on the analysis report.
2. The big-data based precision teaching system according to claim 1, wherein said big-data analyzing system comprises:
the acquisition module is used for acquiring the learning data of students in the student learning system;
the classification module is used for classifying the students and/or the learning data of the students according to a preset classification rule;
the analysis module is used for respectively analyzing the learning data corresponding to the classification result of the classification module according to a preset analysis rule;
and the output module is used for outputting a corresponding analysis report according to the analysis result of the analysis module.
3. The big-data based precision teaching system of claim 2, wherein the analysis report comprises at least one or more of a school analysis report, a year analysis report, a class analysis report, a personal analysis report, a preview analysis report, a job analysis report, and a test paper analysis report.
4. The big-data based precision teaching system of claim 3, wherein said teacher teaching module comprises at least:
the online lesson preparation module is used for preparing lessons according to the teaching resources in the teaching resource cloud platform and/or the self-made teaching resources;
the preview arrangement module is used for arranging preview tasks and viewing corresponding preview analysis reports;
the classroom reviewing module is used for reviewing classroom related information, wherein the classroom related information at least comprises one or more of student attendance information, in-class blackboard writing information, classroom exercise conditions and group learning conditions;
and the operation arrangement module is used for arranging operation in a preset group range according to the teaching resources and/or self-made teaching resources in the teaching resource cloud platform and aiming at the analysis report, and is used for viewing the operation analysis report.
5. The big data based precision teaching system of claim 4, wherein the teacher teaching system further comprises an autonomous paper composition module, wherein the autonomous paper composition module is configured to prepare test papers according to preset paper composition rules, and the preset paper composition rules comprise one or more of manual paper composition, knowledge point paper composition, and vulnerability paper composition.
6. The big data based precision teaching system of claim 5, wherein the teacher teaching module further comprises an amending module, the amending module further comprises a manual amending module and an automatic amending module, the manual amending module is used for teachers to amend subjective questions; the automatic correcting module is used for automatically correcting the objective questions.
7. The big data based precision teaching system of claim 1, wherein the student learning system comprises at least:
the pre-lesson pre-learning module is used for enabling students to complete pre-learning tasks arranged by teachers;
the post-lesson homework module is used for the students to complete the post-lesson homework arranged by the teachers;
the analysis module is used for analyzing the pre-study tasks, post-course assignments and examination papers of the students and automatically generating wrong question sets of the students;
and the tutoring module is used for acquiring the corresponding analysis report and pushing related learning resources according to the corresponding analysis report, wherein the learning resources at least comprise one or more of courseware, videos and test questions.
8. The big data-based precision teaching system of claim 1, wherein the server further comprises an in-class interaction system, the in-class interaction system comprises a plurality of auxiliary tools, and the auxiliary tools at least comprise one or more of broadcasting, screen-shooting, screen-controlling, check-in, screenshot, painting brush, answering, and recording.
9. The big data based precision teaching system of claim 1, wherein the server further comprises a classroom management and control system for managing and controlling teaching devices in a classroom, the teaching devices at least comprising a plurality of student terminals and a scanner.
10. The big data based precision teaching system according to claim 9, further comprising a parent terminal for monitoring the corresponding student terminal and for obtaining the corresponding analysis report.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN114782227A (en) * | 2022-04-11 | 2022-07-22 | 北京和气聚力教育科技有限公司 | Test paper analysis system, method, computer equipment and storage medium |
| CN115064019A (en) * | 2022-08-05 | 2022-09-16 | 安徽淘云科技股份有限公司 | Teaching system, method, equipment and storage medium |
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| CN106781759A (en) * | 2016-12-19 | 2017-05-31 | 江苏学正教育科技有限公司 | The accurate classroom instruction cloud instructional management system (IMS) that a kind of task based access control drives |
| CN108053130A (en) * | 2017-12-25 | 2018-05-18 | 郑州威科姆科技股份有限公司 | A kind of multimedia teaching analysis system and analysis method |
| CN108364513A (en) * | 2018-01-12 | 2018-08-03 | 安徽安必生信息科技有限公司 | Wisdom classroom realization method and system based on high in the clouds |
| CN109146731A (en) * | 2018-06-25 | 2019-01-04 | 华南理工大学 | A kind of intellectual achievements analysis system and method based on cloud table |
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| CN114782227A (en) * | 2022-04-11 | 2022-07-22 | 北京和气聚力教育科技有限公司 | Test paper analysis system, method, computer equipment and storage medium |
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